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  • 1.
    Santini, Marina
    et al.
    RISE Research Institutes of Sweden, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Sweden.
    Strandqvist, Wiktor
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Sweden.
    Cederblad, Gustav
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska fakulteten.
    Nyström, Mikael
    Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Sweden.
    Alirezaie, Marjan
    Örebro universitet, Institutionen för naturvetenskap och teknik.
    Lind, Leili
    Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Sweden.
    Blomqvist, Eva
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Sweden.
    Lindén, Maria
    Mälardalen University, Sweden.
    Kristoffersson, Annica
    Institutionen för naturvetenskap och teknik, Örebro universitet.
    Designing an Extensible Domain-Specific Web Corpus for “Layfication”: A Case Study in eCare at Home2019Ingår i: Cyber-Physical Systems for Social Applications / [ed] Maya Dimitrova and Hiroaki Wagatsuma, Hershey, PA, USA: IGI Global, 2019, s. 98-155Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    In the era of data-driven science, corpus-based language technology is an essential part of cyber physical systems. In this chapter, the authors describe the design and the development of an extensible domain-specific web corpus to be used in a distributed social application for the care of the elderly at home. The domain of interest is the medical field of chronic diseases. The corpus is conceived as a flexible and extensible textual resource, where additional documents and additional languages will be appended over time. The main purpose of the corpus is to be used for building and training language technology applications for the “layfication” of the specialized medical jargon. “Layfication” refers to the automatic identification of more intuitive linguistic expressions that can help laypeople (e.g., patients, family caregivers, and home care aides) understand medical terms, which often appear opaque. Exploratory experiments are presented and discussed.

  • 2.
    Santini, Marina
    et al.
    RISE Research Institutes of Sweden, Gothenburg, Sweden.
    Strandqvist, Wiktor
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Gothenburg, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden, Gothenburg, Sweden.
    Profiling specialized web corpus qualities: A progress report on "Domainhood"2019Ingår i: Argentinian Journal of Applied Linguistics, ISSN 0136-006X, E-ISSN 1478-6362, Vol. 7, nr 1, s. 8-26Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this article we describe ways to profile the domain specificity, a.k.a. domainhood, of specialized web corpora in English and in Swedish. Several studies have been carried out to measure the "qualities" of general-purpose web corpora. On the contrary, less attention has been paid to the evaluation of specialized or domain-specific web corpora. To fill this gap, in this article we present case studies where we explore the effectiveness of several statistical measures – i.e. rank correlation coefficients (Kendall and Spearman), Kullback–Leibler divergence, log-likelihood and burstiness - to assess domainhood. Our findings indicate that it is possible to profile the domainhood quality of a corpus. However, further research is needed to generalize on the results.

  • 3.
    Jönsson, Simon
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Rennes, Evelina
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Falkenjack, Johan
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    A Component based Approach to Measuring Text Complexity2018Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    We present results from assessing text complexity based on a factorisation of text property measures into components. The components are evaluated by investigating their ability to classify texts belonging to different genres. Our results show that the text complexity components correctly classify texts belonging to specific genres, given that the genres adhere to certain textual conventions. We also propose a radar chart visualisation to communicate component based text complexity.

  • 4.
    Santini, Marina
    et al.
    RISE SICS Linköping, Sweden.
    Strandqvist, Wiktor
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. RISE Research Institutes of Sweden AB.
    Nyström, Mikael
    Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten.
    Alirezai, Marjan
    Örebro University, Örebro, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Can We Quantify Domainhood?: Exploring Measures to Assess Domain-Specificity in Web Corpora2018Ingår i: Communications in Computer and Information Science, vol 903. Springer, Cham / [ed] Elloumi M. et al., 2018, Vol. 903Konferensbidrag (Refereegranskat)
    Abstract [en]

    Web corpora are a cornerstone of modern Language Technology. Corpora built from the web are convenient because their creation is fast and inexpensive. Several studies have been carried out to assess the representativeness of general-purpose web corpora by comparing them to traditional corpora. Less attention has been paid to assess the representativeness of specialized or domain-specific web corpora. In this paper, we focus on the assessment of domain representativeness of web corpora and we claim that it is possible to assess the degree of domain-specificity, or domainhood, of web corpora. We present a case study where we explore the effectiveness of different measures - namely the Mann-Withney-Wilcoxon Test, Kendall correlation coefficient, Kullback–Leibler divergence, log-likelihood and burstiness - to gauge domainhood. Our findings indicate that burstiness is the most suitable measure to single out domain-specific words from a specialized corpus and to allow for the quantification of domainhood.

  • 5.
    Santini, Marina
    et al.
    RISE Research Institutes of Sweden.
    Strandqvist, Wiktor
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Profiling Domain Specificity of Specialized Web Corpora using Burstiness. Explorations and Open Issues2018Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we describe an approach to profile the domain specificity of specialized web corpora in Swedish. The proposedapproach is based on burstiness.   Burstiness is a statistical measure that identifies words with uneven distribution across thedocuments of a corpus. We apply burstiness to two medical web corpora that have different size and different domain granularity.Results are promising and show that burstiness is an appropriate measure to profile the domain specificity when matched againstreference lists (gold standards) that represent the target domains. However, further research is needed to find adequate evaluationmetrics, less empirical cut-off points and more principled gold standard design.

  • 6.
    Santini, Marina
    et al.
    RISE SICS East Linköping, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten. RISE SICS East Linköping, Sweden.
    Nyström, Mikael
    Linköpings universitet, Institutionen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten.
    Alireza, Marjan
    Örebro University, Örebro, Sweden.
    A Web Corpus for eCare: Collection, Lay Annotation and Learning - First Results2017Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this position paper, we put forward two claims: 1) it is possible to design a dynamic and extensible corpus without running the risk of getting into scalability problems; 2) it is possible to devise noise-resistant Language Technology applications without affecting performance. To support our claims, we describe the design, construction and limitations of a very specialized medical web corpus, called eCare_Sv_01, and we present two experiments on lay-specialized text classification. eCare_Sv_01 is a small corpus of web documents written in Swedish. The corpus contains documents about chronic diseases. The sublanguage used in each document has been labelled as “lay” or “specialized” by a lay annotator. The corpus is designed as a flexible text resource, where additional medical documents will be appended over time. Experiments show that the lay-specialized labels assigned by the lay annotator are reliably learned by standard classifiers. More specifically, Experiment 1 shows that scalability is not an issue when increasing the size of the datasets to be learned from 156 up to 801 documents. Experiment 2 shows that lay-specialized labels can be learned regardless of the large amount of disturbing factors, such as machine translated documents or low-quality texts that are numerous in the corpus

  • 7.
    Johansson, Robert
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Department of Clinical Neuroscience, Karolinska Institute, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    Consider Clojure: A modern Lisp that runs on Java and Javascript hosts2017Konferensbidrag (Refereegranskat)
  • 8.
    Santini, Marina
    et al.
    RISE SICS East, Linköping.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    E-care@home: Towards a better communication between patients and doctors using Language Technology2017Konferensbidrag (Refereegranskat)
  • 9.
    Falkenjack, Johan
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Rennes, Evelina
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Fahlborg, Daniel
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Johansson, Vida
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    Services for text simplification and analysis2017Ingår i: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, Linköping University Electronic Press, 2017, Vol. 131, s. 309-313, artikel-id 044Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present a language technology service for web editors’ work on making texts easier to understand, including tools for text complexity analysis, text simplification and text summarization. We also present a text analysis service focusing on measures of text complexity.

  • 10.
    Falkenjack, Johan
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    Santini, Marina
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. SICS East Swedish ICT AB, Linköping, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    An Exploratory Study on Genre Classification using Readability Features2016Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    We present a preliminary study that explores whether text features used for readability assessment are reliable genre-revealingfeatures. We empirically explore the difference between genre and domain. We carry out two sets of experiments with bothsupervised and unsupervised methods. Findings on the Swedish national corpus (the SUC) show that readability cues are goodindicators of genre variation.

  • 11.
    Johansson, Robert
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    Consider Clojure: A modern Lisp that runs on Java and Javascript hosts2016Ingår i: Proceedings of the 12'th SweCog Conference / [ed] [ed] Alexander Almér, Robert Lowe, Erik Billing, Skövde: University of Skövde , 2016Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Developing software is a key methodology in cognitive science. Lisp is a family of programming languages that historically has been very influential in cognitive science in general and in the field of artificial intelligence in particular. Scientists and practitioners alike were drawn to Lisp due to its intelligent design and elegance. However, for various reasons it has become more and more uncommon to use Lisp in cognitive science and AI research.

    Clojure is a modern Lisp language that compiles both to the Java virtual machine and to Javascript. This enables us to write fast, stand-alone applications in Lisp that runs on computers, smartphones and in web browsers - everything written in the same language. Clojure encourages functional programming – an approach to software development in where we model our application in terms of data flowing through the system. The design and implementation of an application then become a process where the developer writes modular parts that transforms data. Such workflow open up for very elegant solutions to some of today's problems in software development in general and in the field of web applications in particular.

    Clojure can be used for everything from resource-intensive server-side applications to lightweight applications that runs in the browser or as a smartphone application. In addition, Clojure has a rich eco-system of freely available libraries to make development become like building things with LEGO.

    In this talk, we will give a technical demonstration of the language in where we demonstrate various aspects of the language that is relevant for cognitive science researchers and practitioners. We will also demonstrate an e- Health application that has been written in Clojure. It enables clinical practitioners to use the Internet to provide psychological treatment to individuals with for example depression and anxiety. Our experiences with Clojure in developing this application will be described. We have also made efforts to teach software development with Clojure to clinical psychologists to enable them to write e-Health web applications without any background in software development. This project will also be described in the talk.

    We believe that Clojure combines the best of both worlds – elegance and performance. With this talk, we hope to demonstrate why we believe Clojure is a perfect fit for both research and practice in the field of cognitive science.

    References

    Johansson, R. (in preparation). Functional programming with Clojure.

    Johansson, R. (in preparation). Writing the code for ICBT web applications.

  • 12.
    Loutfi, Amy
    et al.
    Örebro University, Örebro, Sweden.
    Jönsson, Arne
    SICS East, Linköping, Sweden.
    Karlsson, Lars
    Örebro University, Örebro, Sweden.
    Lind, Leili
    SICS East, Linköping, Sweden.
    Linden, Maria
    Mälardalen University, Västerås, Sweden.
    Pecora, Federico
    Örebro University, Örebro, Sweden.
    Voigt, Thiemo
    SICS ICT, Stockholm, Sweden.
    Ecare@Home: A Distributed Research Environment on Semantic Interoperability2016Ingår i: Internet of Things Technologies for HealthCare: Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers / [ed] Mobyen Uddin Ahmed; Shahina Begum; Wasim Raad, Springer, 2016, s. 3-8Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents the motivation and challenges to developing semantic interoperability for an internet of things network that is used in the context of home based care. The paper describes a research environment which examines these challenges and illustrates the motivation through a scenario whereby a network of devices in the home is used to provide high-level information about elderly patients by leveraging from techniques in context awareness, automated reasoning, and configuration planning.

  • 13.
    Falkenjack, Johan
    et al.
    SICS East Swedish ICT AB.
    Jönsson, Arne
    SICS East Swedish ICT AB.
    Implicit readability ranking using the latent variable of a Bayesian Probit model2016Ingår i: CL4LC 2016 - Computational Linguistics for Linguistic Complexity: Proceedings of the Workshop, 2016, s. 104-112Konferensbidrag (Refereegranskat)
    Abstract [en]

    Data driven approaches to readability analysis for languages other than English has been plagued by a scarcity of suitable corpora.  Often, relevant corpora consist only of easy-to-read texts with no  rank  information  or  empirical  readability  scores,  making  only  binary  approaches,  such  as classification, applicable.  We propose a Bayesian, latent variable, approach to get the most out of these kinds of corpora. In this paper we present results on using such a model for readability ranking. The model is evaluated on a preliminary corpus of ranked student texts with encourag- ing results.  We also assess the model by showing that it performs readability classification on par with a state of the art classifier while at the same being transparent enough to allow more sophisticated interpretations.

  • 14.
    Silvervarg, Annika
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    Lindvall, Sofia
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska fakulteten.
    Andersson, Jonathan
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska fakulteten.
    Esberg, Ida
    Volvo GTT, Sweden.
    Jernberg, Christian
    Volvo GTT, Sweden.
    Frumerie, Filip
    Volvo GTT, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Perceived usability and cognitive demand of secondary tasks in spoken versus visual-manual automotive interaction2016Ingår i: 17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES, ISCA-INT SPEECH COMMUNICATION ASSOC , 2016, s. 1171-1175Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present results from a study of truck drivers experience of using two different interfaces; spoken interaction and visual manual interaction, to perform secondary tasks while driving. The instruments used to measure their experience are based on three popular questionnaires, measuring different aspects of usability and cognitive load: SASSI, SUS and DALI. Our results show that the speech interface is preferred both regarding usability and cognitive demand.

  • 15.
    Albertsson, Sarah
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    Rennes, Evelina
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    Similarity-Based Alignment of Monolingual Corpora for Text Simplification2016Ingår i: CL4LC 2016 - Computational Linguistics for Linguistic Complexity: Proceedings of the Workshop, The COLING 2016 Organizing Committee , 2016, s. 154-163Konferensbidrag (Refereegranskat)
    Abstract [en]

    Comparable or parallel corpora are beneficial for many NLP tasks.  The automatic collection of corpora enables large-scale resources, even for less-resourced languages, which in turn can be useful for deducing rules and patterns for text rewriting algorithms, a subtask of automatic text simplification. We present two methods for the alignment of Swedish easy-to-read text segments to text segments from a reference corpus.  The first method (M1) was originally developed for the task of text reuse detection, measuring sentence similarity by a modified version of a TF-IDF vector space model. A second method (M2), also accounting for part-of-speech tags, was devel- oped, and the methods were compared.  For evaluation, a crowdsourcing platform was built for human judgement data collection, and preliminary results showed that cosine similarity relates better to human ranks than the Dice coefficient. We also saw a tendency that including syntactic context to the TF-IDF vector space model is beneficial for this kind of paraphrase alignment task.

  • 16.
    Rennes, Evelina
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten. SICS East Swedish ICT AB, Linköping, Sweden.
    Towards a Corpus of Easy to Read Authority Web Texts2016Ingår i: , 2016Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    We present the first version of a corpus of public authorities and municipality web texts, as of spring 2016, divided into easy-to-read texts and texts written in Standard Swedish. The corpus currently contains documents totalling approximately 30 milliontokens. In this paper we describe the tools and methods used to collect the web pages and data of the corpus.

  • 17.
    Heimann Mühlenbock, Katarina
    et al.
    University of Gothenburg, Sweden.
    Johansson Kokkinakis, Sofie
    University of Gothenburg, Sweden.
    Liberg, Caroline
    Uppsala University, Sweden.
    af Geijerstam, Åsa
    Uppsala University, Sweden.
    Wiksten Folkeryd, Jenny
    Uppsala University, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Kanebrant, Erik
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Falkenjack, Johan
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    A multivariate model for classifying texts’ readability2015Ingår i: Proceedings of the 20th Nordic Conference of Computational Linguistics / [ed] Beáta Megyesi, Linköping University Electronic Press, 2015, Vol. 109, s. 257-261, artikel-id 033Konferensbidrag (Refereegranskat)
    Abstract [en]

    We report on results from using the multivariate readability model SVIT to classify texts into various levels. We investigate how the language features integrated in the SVIT model can be transformed to values on known criteria like vocabulary, grammatical fluency and propositional knowledge. Such text criteria, sensitive to content, readability and genre in combination with the profile of a student’s reading ability form the base to individually adapted texts. The procedure of levelling texts into different stages of complexity is presented along with results from the first cycle of tests conducted on 8th grade students. The results show that SVIT can be used to classify texts into different complexity levels.

  • 18.
    Rennes, Evelina
    et al.
    SICS East Swedish ICT AB, Sweden.
    Jönsson, Arne
    SICS East Swedish ICT AB, Sweden.
    A Tool for Automatic Simplification of Swedish Texts2015Ingår i: Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015), Vilnius, Lithuania, 2015, s. 317-320Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present a rule based automatic text simplification tool for Swedish. The tool is designed to facilitate experimentation with various simplification techniques. The architecture of the tool is inspired by and partly built on a previous text simplification tool for Swedish, CogFLUX. New functionality, new operation types, and new simplification operations were added.

  • 19.
    Kanebrant, Erik
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska fakulteten.
    Heimann Mühlenbock, Katarina
    Department of Swedish, Göteborg University, Sweden,.
    Johansson Kokkinakis, Sofie
    Department of Swedish, Göteborg University, Sweden,.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Liberg, Caroline
    Department of Education, Uppsala University, Sweden.
    Af Geijerstam, Åsa
    Department of Education, Uppsala University, Sweden.
    Wiksten Folkeryd, Jenny
    Department of Education, Uppsala University, Sweden.
    Falkenjack, Johan
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    T-MASTER -- A tool for assessing students' reading abilities2015Ingår i: Proceedings of the 7th International Conference on Computer Supported Education (CSEDU 2015), Lisbon, Portugal, SciTePress, 2015, s. 220-227Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present T-MASTER, a tool for assessing students’ reading skills on a variety of dimensions. T-MASTER uses sophisticated measures for assessing a student’s reading comprehension and vocabulary understanding. Texts are selected based on their difficulty using novel readability measures and tests are created based on the texts. The results are analyzed in T-MASTER, and the numerical results are mapped to textual descriptions that describe the student’s reading abilities on the dimensions being analysed. These results are presented to the teacher in a form that is easily comprehensible, and lends itself to inspection of each individual student’s results.

  • 20.
    Saifullah, Mohammad
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Balkenius, Christian
    Lund University Cognitive Science, Sweden.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    A biologically based model for recognition of 2-D occluded patterns2014Ingår i: Cognitive Processing, ISSN 1612-4782, E-ISSN 1612-4790, Vol. 15, nr 1, s. 13-28Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this work, we present a biologically inspired model for recognition of occluded patterns. The general architecture of the model is based on the two visual information processing pathways of the human visual system, i.e. the ventral and the dorsal pathways. The proposed hierarchically structured model consists of three parallel processing channels. The main channel learns invariant representations of the input patterns and is responsible for pattern recognition task. But, it is limited to process one pattern at a time. The direct channel represents the biologically based direct connection from the lower to the higher processing level in the human visual cortex. It computes rapid top-down pattern-specific cues to modulate processing in the other two channels. The spatial channel mimics the dorsal pathway of the visual cortex. It generates a combined saliency map of the input patterns and, later, segments the part of the map representing the occluded pattern. This segmentation process is based on our hypothesis that the dorsal pathway, in addition to encoding spatial properties, encodes the shape representations of the patterns as well. The lateral interaction between the main and the spatial channels at appropriate processing levels and top-down, pattern-specific modulation of the these two channels by the direct channel strengthen the locations and features representing the occluded pattern. Consequently, occluded patterns become focus of attention in the ventral channel and also the pattern selected for further processing along this channel for final recognition.

  • 21.
    Heimann Mühlenbock, Katarina
    et al.
    Göteborgs Universitet, Sweden.
    Kanebrant, Erik
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Johansson Kokkinakis, Sofie
    Göteborgs Universitet, Sweden.
    Jönsson, Arne
    Linköpings universitet, Tekniska högskolan. Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system.
    Liberg, Caroline
    Uppsala Universitet, Sweden.
    af Geijerstam, Åsa
    Uppsala Universitet, Sweden.
    Falkenjack, Johan
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Wiksten, Jenny
    Uppsala Universitet, Sweden.
    Studies on automatic assessment of students’ reading ability2014Ingår i: Proceedings of the Fifth Swedish Language Technology Conference (SLTC-14), 2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    We report results from ongoing research on developing sophisticated measures for assessing a student’s reading ability and a tool for the student and teacher to create a profile of this ability. In the project we will also investigate how these measures can be transformed to values on known criteria like vocabulary, grammatical fluency and so forth, and how these can be used to analyse texts. Such text criteria, sensitive to content, readability and genre in combination with the profile of a student’s reading ability will form the base to individually adapted texts. Techniques and tools will be developed for selecting suitable texts, automatic summarisation of texts and automatic transformation to easy-to-read Swedish.

  • 22.
    Rennes, Evelina
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    The Impact of Cohesion Errors in Extraction Based Summaries2014Ingår i: LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, European Language Resources Association, 2014, s. 1575-1582Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present results from an eye tracking study of automatic text summarization. Automatic text summarization is a growing field due to the modern world’s Internet based society, but to automatically create perfect summaries is challenging. One problem is that extraction based summaries often have cohesion errors. By the usage of an eye tracking camera, we have studied the nature of four different types of cohesion errors occurring in extraction based summaries. A total of 23 participants read and rated four different texts and marked the most difficult areas of each text. Statistical analysis of the data revealed that absent cohesion or context and broken anaphoric reference (pronouns) caused some disturbance in reading, but that the impact is restricted to the effort to read rather than the comprehension of the text. However, erroneous anaphoric references (pronouns) were not always detected by the participants which poses a problem for automatic text summarizers. The study also revealed other potential disturbing factors.

  • 23.
    Falkenjack, Johan
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan. SICS East Swedish ICT AB .
    Heimann Mühlenbock, Katarina
    Göteborgs Universitet.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan. SICS East Swedish ICT AB .
    Features indicating readability in Swedish text2013Ingår i: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013) / [ed] Stephan Oepen, Kristin Hagen, Janne Bondi Johannesse, Linköping, 2013, s. 27-40Konferensbidrag (Refereegranskat)
    Abstract [en]

    Studies have shown that modern methods of readability assessment, using automated linguistic analysis and machine learning (ML), is a viable road forward for readability classification and ranking. In this paper we present a study of different levels of analysis and a large number of features and how they affect an ML-system’s accuracy when it comes to readability assessment. We test a large number of features proposed for different languages (mainly English) and evaluate their usefulness for readability assessment for Swedish as well as comparing their performance to that of established metrics. We find that the best performing features are language models based on part-of-speech and dependency type.

  • 24.
    Keskisärkkä, Robin
    et al.
    Santa Anna IT Research Institute AB Linköping, Sweden.
    Jönsson, Arne
    Santa Anna IT Research Institute AB Linköping, Sweden.
    Investigations of Synonym Replacement for Swedish2013Ingår i: Northern European Journal of Language Technology (NEJLT), ISSN 2000-1533, Vol. 3, nr 3, s. 41-59Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    We present results from an investigation on automatic synonym replacement for Swedish. Three different methods for choosing alternative synonyms were evaluated: (1) based on word frequency, (2) based on word length, and (3) based on level of synonymy. These three strategies were evaluated in terms of standardized readability metrics for Swedish, average word length, proportion of long words, and in relation to the ratio of errors in relation to replacements. The results show an improvement in readability for most strategies, but also show that erroneous substitutions are frequent.

  • 25.
    Silvervarg, Annika
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Iterative Development and Evaluation of a Social Conversational Agent2013Ingår i: International Joint Conference on Natural Language Processing, 2013, 2013, s. 1223-1229Konferensbidrag (Refereegranskat)
  • 26.
    Smith, Christian
    et al.
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Danielsson, Henrik
    Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    A good space: Lexical predictors in vector space evaluation2012Ingår i: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), 2012Konferensbidrag (Övrigt vetenskapligt)
  • 27.
    Smith, Christian
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Danielsson, Henrik
    Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    A More Cohesive Summarizer2012Ingår i: Proceedings of the 24th International Conference on Computational Linguistics, 2012, 2012Konferensbidrag (Övrigt vetenskapligt)
  • 28.
    Wan, Miao
    et al.
    Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Wang, Cong
    Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China.
    Li, Lixiang
    Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China.
    Yang, Yixian
    Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China.
    A Random Indexing Approach for Web User Clustering and Web Prefetching2012Ingår i: New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers / [ed] Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo, Springer Berlin/Heidelberg, 2012, s. 40-52Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we present a novel technique to capture Web users’ behaviour based on their interest-oriented actions. In our approach we utilise the vector space model Random Indexing to identify the latent factors or hidden relationships among Web users’ navigational behaviour. Random Indexing is an incremental vector space technique that allows for continuous Web usage mining. User requests are modelled by Random Indexing for individual users’ navigational pattern clustering and common user profile creation. Clustering Web users’ access patterns may capture common user interests and, in turn, build user profiles for advanced Web applications, such as Web caching and prefetching. We present results from the Web user clustering approach through experiments on a real Web log file with promising results. We also apply our data to a prefetching task and compare that with previous approaches. The results show that Random Indexing provides more accurate prefetchings.

  • 29.
    Rayner, Manny
    et al.
    University of Geneva, Switzerland.
    Gerlach, Johanna
    University of Geneva, Switzerland.
    Starlander, Marianne
    University of Geneva, Switzerland.
    Tsourakis, Nikos
    University of Geneva, Switzerland.
    Kruckenberg, Anita
    KTH, Stockholm, Sweden.
    Eklund, Robert
    Linköpings universitet, Institutionen för kultur och kommunikation, Avdelningen för språk och kultur. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    McAllister, Anita
    Linköpings universitet, Institutionen för klinisk och experimentell medicin, Logopedi. Linköpings universitet, Hälsouniversitetet. Östergötlands Läns Landsting, Sinnescentrum, Öron- näsa- och halskliniken US.
    Chua, Cathy
    Swinburne University, Melbourne, Australia.
    A web-deployed Swedish spoken CALL systembased on a large shared English/Swedish feature grammar2012Ingår i: Proceedings of the SLTC 2012 workshop on NLP for CALL / [ed] Lars Borin and Elena Volodina, Linköping University Electronic Press, 2012, s. 37-46Konferensbidrag (Refereegranskat)
    Abstract [en]

    We describe a Swedish version of CALL-SLT,a web-deployed CALL system that allows beginner/intermediate students to practise generativespoken language skills. Speech recognitionis grammar-based, with language modelsderived, using the Regulus platform, fromsubstantial domain-independent feature grammars.The paper focusses on the Swedishgrammar resources, which were developedby generalising the existing English featuregrammar into a shared grammar for Englishand Swedish. It turns out that this can be donevery economically: all but a handful of rulesand features are shared, and English grammaressentially ends up being treated as a reducedform of Swedish. We conclude by presentinga simple evaluation which compares theSwedish and French versions of CALL-SLT.

  • 30.
    Keskisärkkä, Robin
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Automatic Text Simplification via Synonym Replacement2012Ingår i: Proceedings of the Fourth Swedish Language Technology Conference, 2012, 2012Konferensbidrag (Övrigt vetenskapligt)
  • 31.
    Smith, Christian
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Danielsson, Henrik
    Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Cohesion in Automatically Created Summaries2012Ingår i: Proceedings of the Fourth Swedish Language Technology Conference, 2012, 2012Konferensbidrag (Övrigt vetenskapligt)
  • 32.
    Kaspersson, Thomas
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Smith, Christian
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Danielsson, Henrik
    Linköpings universitet, Institutet för handikappvetenskap (IHV). Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Errors in extraction based summaries2012Ingår i: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), 2012Konferensbidrag (Övrigt vetenskapligt)
  • 33.
    Johansson, Marcus
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Danielsson, Henrik
    Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Human evaluation of extraction based summaries2012Ingår i: Proceedings of the Fourth Swedish Language Technology Conference, 2012, 2012Konferensbidrag (Övrigt vetenskapligt)
  • 34.
    Kaspersson, Thomas
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Smith, Christian
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Danielsson, Henrik
    Linköpings universitet, Institutionen för beteendevetenskap och lärande, Handikappvetenskap. Linköpings universitet, Filosofiska fakulteten.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    This also affects the context - Errors in extraction based summaries2012Ingår i: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), 2012Konferensbidrag (Övrigt vetenskapligt)
  • 35.
    Wan, Miao
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Wang, Cong
    Beijing University of Posts and Telecommun, Peoples R China .
    Li, Lixiang
    Beijing University of Posts and Telecommun, Peoples R China .
    Yang, Yixian
    Beijing University of Posts and Telecommun, Peoples R China .
    Web user clustering and Web prefetching using Random Indexing with weight functions2012Ingår i: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 33, nr 1, s. 89-115Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Users of a Web site usually perform their interest-oriented actions by clicking or visiting Web pages, which are traced in access log files. Clustering Web user access patterns may capture common user interests to a Web site, and in turn, build user profiles for advanced Web applications, such as Web caching and prefetching. The conventional Web usage mining techniques for clustering Web user sessions can discover usage patterns directly, but cannot identify the latent factors or hidden relationships among users navigational behaviour. In this paper, we propose an approach based on a vector space model, called Random Indexing, to discover such intrinsic characteristics of Web users activities. The underlying factors are then utilised for clustering individual user navigational patterns and creating common user profiles. The clustering results will be used to predict and prefetch Web requests for grouped users. We demonstrate the usability and superiority of the proposed Web user clustering approach through experiments on a real Web log file. The clustering and prefetching tasks are evaluated by comparison with previous studies demonstrating better clustering performance and higher prefetching accuracy.

  • 36.
    Smith, Christian
    et al.
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Automatic Summarization As Means Of Simplifying Texts, An Evaluation For Swedish2011Ingår i: Proceedings of the 18th Nordic Conference of Computational Linguistics (NoDaLiDa-2010), Riga, Latvia, 2011Konferensbidrag (Refereegranskat)
  • 37.
    Nilsson, Susanna
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Johansson, Björn
    Swedish Defense Research Institute, Linköping, Sweden.
    Jönsson, Arne
    Santa Anna IT Research Institute, Linköping, Sweden.
    Cross-Organizational Collaboration Supported by Augmented Reality2011Ingår i: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 17, nr 10, s. 1380-1392Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper presents a study where Augmented Reality (AR) technology has been used as a tool for supporting collaboration between the rescue services, the police and military personnel in a crisis management scenario. There are few studies on how AR systems should be designed to improve cooperation between actors from different organizations while at the same time supporting individual needs. In the present study, an AR system was utilized for supporting joint planning tasks by providing organization specific views of a shared map. The study involved a simulated emergency event conducted in close to real settings with representatives from the organizations for which the system is developed. As a baseline, a series of trials without the AR system was carried out. Results show that the users were positive toward the AR system and would like to use it in real work. They also experience some performance benefits of using the AR system compared to their traditional tools. Finally, the problem of designing for collaborative work as well as the benefits of using an iterative design processes is discussed.

  • 38.
    Smith, Christian
    et al.
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Enhancing extraction based summarization with outside word space2011Ingår i: Proceedings of the 5th International Joint Conference on Natural Language Processing, Chiang Mai, Thailand, 2011Konferensbidrag (Refereegranskat)
  • 39.
    Silvervarg, Annika
    et al.
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Subjective and Objective Evaluation of Conversational Agents in Learning Environments for Young Teenagers2011Ingår i: 7th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Barcelona, Spain, AAAI Press, 2011Konferensbidrag (Refereegranskat)
  • 40.
    Nilsson, Susanna
    et al.
    Linköpings universitet, Institutionen för datavetenskap, CSELAB - Cognitive Systems Engineering Laboratory. Linköpings universitet, Tekniska högskolan.
    Johansson, Björn
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Filosofiska fakulteten.
    A Holistic Approach to Design and Evaluation of Mixed Reality Systems2010Ingår i: The Engineering of Mixed Reality Systems / [ed] Emmanuel Dubois, Philip Gray, Laurence Nigay, London: Springer London, 2010, 1, s. 33-55Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    This chapter addresses issues related to usability and user experience of mixed reality (MR) systems based on a naturalistic iterative design approach to the development of MR applications. Design and evaluation of MR applications are still mostly based on methods used for development of more traditional desktop graphical user interfaces. MR systems are in many aspects very different from desktop computer applications, so these traditional methods are not sufficient for MR applications. There is a need for new approaches to user-centred design and development of MR systems. One such approach is based on the concepts of cognitive systems engineering (CSE). In this chapter we show how this approach can be applied to the development of MR systems. Two case studies are described, where a holistic CSE approach to design, implementation and evaluation has been used. The results show that allowing real end users (field/domain experts) to interact in a close to naturalistic setting provides insights on how to design MR applications that are difficult to attain otherwise. We also show the importance of iterative design, again involving real end users.

  • 41.
    Gustavsson, Pär
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Text Summarization using Random Indexing and PageRank2010Ingår i: Proceedings of the Third Swedish Language Technology Conference (SLTC-2010),, 2010Konferensbidrag (Refereegranskat)
  • 42.
    Prytz, Erik
    et al.
    Santa Anna IT Research Institute, Linköping, Sweden.
    Nilsson, Susanna
    Swedish Defence Research Institute, Linköping, Sweden.
    Jönsson, Arne
    Santa Anna IT Research Institute, Linköping, Sweden.
    The Importance of Eye-contact for Collaboration in AR Systems2010Ingår i: 9th IEEE International Symposium on Mixed and Augmented Reality 2010 / [ed] Tobias Höllerer, Vincent Lepetit, Jun Park, IEEE , 2010, s. 119-126Konferensbidrag (Refereegranskat)
    Abstract [en]

    Eye contact is believed to be an important factor in normal human communication and as a result of this a head mounted display (HMD) is often seen as something intrusive and limiting. This can be especially problematic when AR is used in a collaborative setting. The study presented in this paper aims to investigate the effects an HMD-based AR system can have on eye contact behaviour between participants in a collaborative task and thus, in extension, the effects of the HMD on collaboration itself. The focus of the study is on task-oriented collaboration between professionals. The participants worked through three different scenarios alternating between HMDs and regular paper maps with the purpose of managing the crisis response to a simulated major forest fire. Correlations between eye contact between participants and questionnaire items concerning team- and taskwork were analysed, indicating that, for the paper map condition, a high amount of eye contact is associated with low confidence and trust in the artefacts used (i.e. paper map and symbols). The amount of eye-contact in both conditions was very low. It was significantly higher for conditions without HMDs. However, the confidence and trust in the artefacts was generally rated significantly higher with HMDs than without. In conclusion, the decrease in eye contact with HMDs does not seem to have a direct effect on the collaboration in a professional, task-oriented context. This is contrary to popular assumptions and the results are relevant for future design choices for AR systems using HMDs.

  • 43.
    Silvervarg Flycht-Eriksson, Annika
    et al.
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Towards a conversational pedagogical agent capable of affecting attitudes and self-efficacy2010Ingår i: Proceedings of the Second Workshop on Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity, 2010Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we discuss how social conversation with an agent in an educational math game can be used in order to gain pedagogical benefits, for example to increase positive attitudes towards learning math and math self-efficacy. We present the iterative development of the conversational module, architectural considerations, and the type of dialogue phenomenon that support the pedagogical interventions

  • 44.
    Carlsson, Bertil
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Using the pyramid method to create gold standards for evaluation of extraction based text summarization techniques2010Ingår i: Proceedings of the Third Swedish Language Technology Conference (SLTC-2010), 2010Konferensbidrag (Refereegranskat)
  • 45.
    Nilsson, Susanna
    et al.
    Linköpings universitet, Institutionen för datavetenskap, CSELAB - Cognitive Systems Engineering Laboratory. Linköpings universitet, Tekniska högskolan.
    Nilsson, Björn
    FOI.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    A co-located collaborative Augmented Reality application2009Ingår i: VRCAI 2009, New York: ACM , 2009, s. 179-184Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents results from a study on using an AR application to support collaborative command and control activities requiring the collaboration of three different civil service organisations. The technology is used to create a common ground between the organisations and allows the users to interact, plan resources and react to the ongoing events on a digital map. The AR application was developed and evaluated in a study where a forest fire scenario was simulated. Participants from the involved organisations acted as command and control teams in the simulated scenario and both quantitative and qualitative results were obtained. The results show that AR can become a useful tool in these situations in the future.

  • 46.
    Nilsson, Susanna
    et al.
    Linköpings universitet, Institutionen för datavetenskap, CSELAB - Cognitive Systems Engineering Laboratory. Linköpings universitet, Tekniska högskolan.
    Johansson, Björn
    FOI.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    A Holistic Approach to Design and Evaluation of Mixed Reality System2009Ingår i: The Engineering of Mixed Reality Systems / [ed] Dubois, E., Gray, P. and Nigay, L., Springer , 2009Kapitel i bok, del av antologi (Övrig (populärvetenskap, debatt, mm))
  • 47.
    Larsson, Patrik
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Jönsson, Arne
    Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk. Linköpings universitet, Tekniska högskolan.
    Automatic handling of Frequently Asked Questions using Latent Semantic Analysis2009Ingår i: IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Association for the Advancement of Artificial Intelligence , 2009Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present results from using Latent Semantic Analysis (LSA) for automatic handling of FAQs (Frequently Asked Questions). FAQs have a high language variability and include a mixture of technical and non-technical terms. LSA has a potential to be useful for automatic handling of FAQ as it reduces the linguistic variability and capture semantically related concept. It is also easy to adapt for FAQ. LSA does not require any sophisticated linguistic analyses and merely involves various vector operations. We evaluate LSA for FAQ on a corpus comprising 4905 FAQ items from a collection of 65000 mail conversations. Our results show that Latent Semantic Analysis, without linguistic analyses, gives results that are on par other methods for automatic FAQ.

  • 48.
    Nilsson, Susanna
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Johansson, Björn
    Swedish Defence Research Institute, Linköping, Sweden.
    Jönsson, Arne
    Santa Anna IT Research Institute, Linköping, Sweden.
    Using AR to support cross-organisational collaboration in dynamic tasks2009Ingår i: Mixed and Augmented Reality, 2009. ISMAR 2009. 8th IEEE International Symposium on, IEEE , 2009, s. 3-12Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a study where Augmented Reality (AR) technology has been used as a tool for supporting collaboration between the rescue services, the police and military personnel in a crisis management scenario. There are few studies on how AR systems should be designed to improve cooperation between actors from different organizations while at the same time support individual needs. In the present study an AR system was utilized for supporting joint planning tasks by providing organisation-specific views of a shared working. The study involved a simulated emergency event conducted in close to real settings with representatives from the organisations for which the system is developed. As a baseline, a series of trials without the AR system was carried out. Results show that the users were positive towards the AR system, and would like to use it in real work. They also experience some performance benefits of using the AR system compared to their traditional tools. Finally, the problem of designing for collaborative work as well as the benefits of using an iterative design processes is discussed.

  • 49.
    Nilsson, Susanna
    et al.
    Linköpings universitet, Tekniska högskolan. Linköpings universitet, Institutionen för datavetenskap, CSELAB - Cognitive Systems Engineering Laboratory.
    Johansson, Björn
    Saab Security Sweden.
    Jönsson, Arne
    Linköpings universitet, Tekniska högskolan. Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk.
    Design of Augmented Reality for Collaboration2008Ingår i: Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, VRCAI 2008, New York: ACM , 2008Konferensbidrag (Refereegranskat)
    Abstract [en]

    Augmented Reality has potential to support collaboration in complex situations, such as command and control. Unfortunately there are few studies on how such systems should be designed to facilitate cooperation between actors from different organisations and at the same time support individual actors needs. This poster presents an iterative design process of an Augmented Reality system for a collaborative task.

  • 50.
    Jönsson, Arne
    et al.
    Linköpings universitet, Tekniska högskolan. Linköpings universitet, Institutionen för datavetenskap, NLPLAB - Laboratoriet för databehandling av naturligt språk.
    Axelsson, Mimi
    Linköping University.
    Bergenholm, Erica
    Linköping University.
    Carlsson, Bertil
    Linköping University.
    Dahlbom, Gro
    Linköping University.
    Gustavsson, Pär
    Linköping University.
    Rybing, Jonas
    Linköping University.
    Smith, Christian
    Linköping University.
    Skim reading of audio information2008Ingår i: The second Swedish Language Technology Conference SLTC-08,2008, 2008, s. 23-24Konferensbidrag (Refereegranskat)
12 1 - 50 av 89
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