liu.seSearch for publications in DiVA
Change search
Link to record
Permanent link

Direct link
Johansson, Jimmy
Publications (10 of 52) Show all publications
Stenliden, L., Nissen, J. & Johansson, J. (2021). Didaktisk design och visuell litteracitet– verktyg för visuell analys och kunskapsvisualisering. In: Vetenskapsrådet (Ed.), Resultatdialog 2021: . Paper presented at Resultatdialog 2021 (pp. 70-72). Stockholm
Open this publication in new window or tab >>Didaktisk design och visuell litteracitet– verktyg för visuell analys och kunskapsvisualisering
2021 (Swedish)In: Resultatdialog 2021 / [ed] Vetenskapsrådet, Stockholm, 2021, p. 70-72Conference paper, Published paper (Refereed)
Abstract [sv]

Denna ”post-sanningens-tid” innebär en osannolik överbelastning avinformation. Det utmanar skolan att stödja elevernas kunskapsuppbyggnad,förmåga att hitta relevant information och samtidigt kritiskt hantera uppgifterfrån olika perspektiv.Detta design-baserade projekt har därför undersökt hur Visual Analytics (VA)och verktyg för kunskapsvisualisering (KV) kan bidra till eleversinformationsprocesser som inte bara syftar till att upptäcka fakta, se sambandoch dra slutsatser utan även utvecklar kunskaper i kombination med attityder,perspektiv och åsikter.Med stöd av aktörnätverks-teori har relationer analyserats mellan visualiseringarpå bildskärmar, interaktivitetens erbjudanden, betydelsebärande semiotiskabudskap och skolans kunskapskrav. Ambitionen har varit att förstå hur VAtillsammans med KV kan stödja lärandet i samhällskunskap på grundskolanshögstadium.Resultaten visar hur VA i undervisning påverkar läraktiviteterna med bådemervärden och utmaningar. Elever kan använda VA, dra slutsatser och göradatavisualiseringar men de måste erbjudas alternativa sätt att visa sina kunskaper(KV), jämfört med vad skolan oftast erbjuder. Här kan en kombination avmuntlig och bildlig kommunikation fungera mer flexibelt. 

Place, publisher, year, edition, pages
Stockholm: , 2021
Series
Resultatdialog ; 2113
National Category
Educational Sciences
Identifiers
urn:nbn:se:liu:diva-189677 (URN)9789188943538 (ISBN)
Conference
Resultatdialog 2021
Funder
Swedish Research Council, 2015-01280
Available from: 2022-11-02 Created: 2022-11-02 Last updated: 2024-05-07Bibliographically approved
Hassan, K. A., Rönnberg, N., Forsell, C., Cooper, M. & Johansson, J. (2019). A Study on 2D and 3D Parallel Coordinates for Pattern Identification in Temporal Multivariate Data. In: : . Paper presented at 2019 23rd International Conference Information Visualization (IV) (pp. 145-150). IV 2019: IEEE conference proceedings
Open this publication in new window or tab >>A Study on 2D and 3D Parallel Coordinates for Pattern Identification in Temporal Multivariate Data
Show others...
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Parallel coordinates are commonly used for non-temporal multivariate data, but there is little support for their usability for displaying temporal multivariate data. In this paper, we introduce a study evaluating the usability of 2D and 3D parallel coordinates for pattern identification in temporal multivariate data. The results indicate that 3D parallel coordinates have higher usability, as measured with higher accuracy and faster response time as well as subjective ratings, compared to 2D.

Place, publisher, year, edition, pages
IV 2019: IEEE conference proceedings, 2019
Series
IEEE International Conference on Information Visualisation, ISSN 2375-0138
Keywords
Temporal Data, User Evaluation, 2D Parallel Coordinates, 3D Parallel Coordinates
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-159079 (URN)10.1109/IV.2019.00033 (DOI)000507461900024 ()978-1-7281-2838-2 (ISBN)
Conference
2019 23rd International Conference Information Visualization (IV)
Available from: 2019-07-22 Created: 2019-07-22 Last updated: 2021-11-14
Hassan, K. A., Liu, Y., Besançon, L., Johansson, J. & Rönnberg, N. (2019). A Study on Visual Representations for Active Plant Wall Data Analysis. DATA, 4(2), Article ID 74.
Open this publication in new window or tab >>A Study on Visual Representations for Active Plant Wall Data Analysis
Show others...
2019 (English)In: DATA, E-ISSN 2306-5729, Vol. 4, no 2, article id 74Article in journal (Refereed) Published
Abstract [en]

The indoor climate is closely related to human health, well-being, and comfort. Thus, an understanding of the indoor climate is vital. One way to improve the indoor climates is to place an aesthetically pleasing active plant wall in the environment. By collecting data using sensors placed in and around the plant wall both the indoor climate and the status of the plant wall can be monitored and analyzed. This manuscript presents a user study with domain experts in this field with a focus on the representation of such data. The experts explored this data with a Line graph, a Horizon graph, and a Stacked area graph to better understand the status of the active plant wall and the indoor climate. Qualitative measures were collected with Think-aloud protocol and semi-structured interviews. The study resulted in four categories of analysis tasks: Overview, Detail, Perception, and Complexity. The Line graph was found to be preferred for use in providing an overview, and the Horizon graph for detailed analysis, revealing patterns and showing discernible trends, while the Stacked area graph was generally not preferred. Based on these findings, directions for future research are discussed and formulated. The results and future directions of this research can facilitate the analysis of multivariate temporal data, both for domain users and visualization researchers.

Place, publisher, year, edition, pages
MDPI, 2019
Keywords
visualization; qualitative evaluation; temporal multivariate data; active plant walls, Visualisering; kvalitativ utvärdering; tidsvarierande multivariate data; active plant walls
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-157027 (URN)10.3390/data4020074 (DOI)000475303500028 ()
Available from: 2019-05-23 Created: 2019-05-23 Last updated: 2021-02-26Bibliographically approved
Muthumanickam, P., Helske, J., Vitoria, A., Johansson, J. & Cooper, M. (2019). Comparison of Attention Behaviour Across User Sets through Automatic Identification of Common Areas of Interest. In: Hawaii International Conference on System Sciences 2020: . Paper presented at Hawaii International Conference on System Sciences.
Open this publication in new window or tab >>Comparison of Attention Behaviour Across User Sets through Automatic Identification of Common Areas of Interest
Show others...
2019 (English)In: Hawaii International Conference on System Sciences 2020, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Eye tracking is used to analyze and compare user behaviour within numerous domains, but long duration eye tracking experiments across multiple users generate millions of eye gaze samples, making the data analysis process complex. Usually the samples are labelled into Areas of Interest (AoI) or Objects of Interest (OoI), where the AoI approach aims to understand how a user monitors different regions of a scene while OoI identification uncovers distinct objects in the scene that attract user attention. Using scalable clustering and cluster merging techniques that require minimal user input, we label AoIs across multiple users in long duration eye tracking experiments. Using the common AoI labels then allows direct comparison of the users as well as the use of such methods as Hidden Markov Models and Sequence mining to uncover common and distinct behaviour between the users which, until now, has been prohibitively difficult to achieve.

Series
Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), ISSN 1530-1605, E-ISSN 2572-6862
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-161999 (URN)10.24251/HICSS.2020.167 (DOI)978-0-9981331-3-3 (ISBN)
Conference
Hawaii International Conference on System Sciences
Available from: 2019-11-15 Created: 2019-11-15 Last updated: 2021-09-30
Glaas, E., Hjerpe, M., Storbjörk, S., Schmid Neset, T.-S., Bohman, A., Muthumanickam, P. & Johansson, J. (2019). Developing transformative capacity through systematic assessments and visualization of urban climate transitions. Ambio, 48(5), 515-528
Open this publication in new window or tab >>Developing transformative capacity through systematic assessments and visualization of urban climate transitions
Show others...
2019 (English)In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 48, no 5, p. 515-528Article in journal (Refereed) Published
Abstract [en]

Transforming cities into low-carbon, resilient, and sustainable places will require action encompassing most segments of society. However, local governments struggle to overview and assess all ongoing climate activities in a city, constraining well-informed decision-making and transformative capacity. This paper proposes and tests an assessment framework developed to visualize the implementation of urban climate transition (UCT). Integrating key transition activities and process progression, the framework was applied to three Swedish cities. Climate coordinators and municipal councillors evaluated the visual UCT representations. Results indicate that their understanding of UCT actions and implementation bottlenecks became clearer, making transition more governable. To facilitate UCT, involving external actors and shifting priorities between areas were found to be key. The visual UCT representations improved system awareness and memory, building local transformative capacity. The study recommends systematic assessment and visualization of process progression as a promising method to facilitate UCT governance, but potentially also broader sustainability transitions.

Place, publisher, year, edition, pages
Springer Netherlands, 2019
Keywords
Assessment, Climate change, Governance, Transformative capacity, Urban Climate Transition, Visualization
National Category
Social Sciences Interdisciplinary
Identifiers
urn:nbn:se:liu:diva-156632 (URN)10.1007/s13280-018-1109-9 (DOI)000464713200007 ()30392034 (PubMedID)2-s2.0-85053557955 (Scopus ID)
Note

Funding agencies: Norrkoping Research and Development Foundation; Swedish Research Council Formas [942-2015-106]

Available from: 2019-04-30 Created: 2019-04-30 Last updated: 2020-02-24Bibliographically approved
Lundberg, J., Bång, M., Johansson, J., Cheaitou, A., Josefsson, B. & Tahboub, Z. (2019). Human-in-the-loop AI: Requirements on future (unified) air traffic management systems. In: 2019 IEEE/AIAA 38TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC): . Paper presented at IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA, sep 08-12, 2019. IEEE
Open this publication in new window or tab >>Human-in-the-loop AI: Requirements on future (unified) air traffic management systems
Show others...
2019 (English)In: 2019 IEEE/AIAA 38TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Intense drone traffic, exceeding human capabilities of manual control, is expected to occur during the last stage of Unified Traffic Management (UTM) and Unmanned Airspace System (UAS) service deployment in cities. In this paper, we discuss how humans and automation could collaborate to manage this airspace. We review theory on options for UTM airspace structure (volumes, points, networks, layers), machine learning, optimization, and human-automation collaboration. Based on simulation and visualization of two cities, we discuss four abilities: to discern traffic patterns, to recognize situations, to predict situational developments, and to function in varying conditions of rule-following habits of airspace users. We then discuss the challenge of collaborating though the use of advanced visual dashboards, for human-in-the loop AI but also for society-in-the-loop. Finally, we discuss how the challenge of humanautomation collaboration can be expected to shift, as the capabilities of the machine increases.

Place, publisher, year, edition, pages
IEEE, 2019
Series
IEEE-AIAA Digital Avionics Systems Conference, ISSN 2155-7195
Keywords
Unified Traffic Management; Urban Traffic Management; UTM; Deep Learning; Optimization; Traffic management; Airspace design; Airspace management; Human-automation collaboration; HMI; Interface design; Cognitive Work Analysis
National Category
Information Systems
Identifiers
urn:nbn:se:liu:diva-172224 (URN)10.1109/DASC43569.2019.9081674 (DOI)000588253200062 ()978-1-7281-0649-6 (ISBN)
Conference
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA, sep 08-12, 2019
Note

Funding Agencies|University of Sharjah [1702040585-P]; Swedish Governmental Agency for Innovation Systems (VINNOVA)Vinnova

Available from: 2020-12-28 Created: 2020-12-28 Last updated: 2020-12-28
Muthumanickam, P., Vrotsou, K., Vitoria, A., Johansson, J. & Cooper, M. (2019). Identification of Temporally Varying Areas of Interest in Long-Duration Eye-Tracking Data Sets. IEEE Transactions on Visualization and Computer Graphics, 87-97
Open this publication in new window or tab >>Identification of Temporally Varying Areas of Interest in Long-Duration Eye-Tracking Data Sets
Show others...
2019 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, p. 87-97Article in journal (Refereed) Published
Abstract [en]

Eye-tracking has become an invaluable tool for the analysis of working practices in many technological fields of activity. Typically studies focus on short tasks and use static expected areas of interest (AoI) in the display to explore subjects’ behaviour, making the analyst’s task quite straightforward. In long-duration studies, where the observations may last several hours over a complete work session, the AoIs may change over time in response to altering workload, emergencies or other variables making the analysis more difficult. This work puts forward a novel method to automatically identify spatial AoIs changing over time through a combination of clustering and cluster merging in the temporal domain. A visual analysis system based on the proposed methods is also presented. Finally, we illustrate our approach within the domain of air traffic control, a complex task sensitive to prevailing conditions over long durations, though it is applicable to other domains such as monitoring of complex systems. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Eye-tracking data, areas of interest, clustering, minimum spanning tree, temporal data, spatio-temporal data
National Category
Computer Systems
Identifiers
urn:nbn:se:liu:diva-152714 (URN)10.1109/TVCG.2018.2865042 (DOI)000452640000009 ()30183636 (PubMedID)2-s2.0-85052788669 (Scopus ID)
Note

Funding agencies: Swedish Research Council [2013-4939]; RESKILL project - Swedish Transport Administration; Swedish Maritime Administration; Swedish Air Navigation Service Provider LFV

Available from: 2018-11-16 Created: 2018-11-16 Last updated: 2019-11-25Bibliographically approved
Johansson, J. & Forsell, C. (2016). Evaluation of Parallel Coordinates: Overview, Categorization and Guidelines for Future Research. IEEE Transactions on Visualization and Computer Graphics, 22(1), 579-588
Open this publication in new window or tab >>Evaluation of Parallel Coordinates: Overview, Categorization and Guidelines for Future Research
2016 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 22, no 1, p. 579-588Article in journal (Refereed) Published
Abstract [en]

The parallel coordinates technique is widely used for the analysis of multivariate data. During recent decades significant research efforts have been devoted to exploring the applicability of the technique and to expand upon it. resulting in a variety of extensions. Of these many research activities, a surprisingly small number concerns user-centred evaluations investigating actual use and usability issues for different tasks, data and domains. The result is a clear lack of convincing evidence to support and guide uptake by users as well as future research directions. To address these issues this paper contributes a thorough literature survey of what has been done in the area of user-centred evaluation of parallel coordinates. These evaluations are divided into four categories based on characterization of use, derived from the survey. Based on the data from the survey and the categorization combined with the authors experience of working with parallel coordinates, a set of guidelines for future research directions is proposed.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC, 2016
Keywords
Survey; evaluation; guidelines; parallel coordinates
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-123053 (URN)10.1109/TVCG.2015.2466992 (DOI)000364043400063 ()26529719 (PubMedID)
Note

Funding Agencies|Swedish Research Council [2013-4939]

Available from: 2015-12-04 Created: 2015-12-03 Last updated: 2017-12-01
Neset, T.- . S., Opach, T., Lion, P., Lilja, A. & Johansson, J. (2016). Map-Based Web Tools Supporting Climate Change Adaptation. Professional Geographer, 68(1), 103-114
Open this publication in new window or tab >>Map-Based Web Tools Supporting Climate Change Adaptation
Show others...
2016 (English)In: Professional Geographer, ISSN 0033-0124, E-ISSN 1467-9272, Vol. 68, no 1, p. 103-114Article in journal (Refereed) Published
Abstract [en]

This article discusses the state of the art in geovisualization supporting climate change adaptation. We reviewed twenty selected map-based Web tools, classified by their content and functionality, and assessed them by visual representations, interactive functions, information type, target audience, and how vulnerability and adaptation to climate change are addressed. Our study concludes that the tools (1) can be classified as data viewers with basic functionality and data explorers offering more sophisticated interactive functions; (2) mostly feature moderate or high richness of data content; and (3) predominantly target expert users.

Place, publisher, year, edition, pages
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2016
Keywords
climate adaptation; climate change; geographic visualization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-124090 (URN)10.1080/00330124.2015.1033670 (DOI)000366326600009 ()
Note

Funding Agencies|Swedish Research Council [2013-1557]; Norden Top-Level Research Initiative subprogram, "Effect Studies and Adaptation to Climate Change" through the Nordic Centre of Excellence for Strategic Adaptation Research (NORD-STAR)

Available from: 2016-01-25 Created: 2016-01-19 Last updated: 2017-11-30
Zohrevandi, E., Polishchuk, V., Lundberg, J., Svensson, Å., Johansson, J. & Josefsson, B. (2016). Modeling and Analysis of Controller’s Taskload in Different Predictability Conditions. In: : . Paper presented at 6th SESAR Innovation Days: Inspiring Long-Term Research in the Field of Air Traffic Management, SIDs 2016, Delft, 8 November 2016 through 10 November 2016. SESAR Joint Undertaking
Open this publication in new window or tab >>Modeling and Analysis of Controller’s Taskload in Different Predictability Conditions
Show others...
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This study aims to first develop a successful taskloadmodel which is able to relate the controller’s interaction with theradar screen to the dynamical changes in air traffic patterns.Secondly, the study aims to examine whether i4D equipage, as aspecific notion of automation, contributes to an improvement inquantification of controller’s taskload model. Thirdly, in a morespecific approach the study intends to analyze to what extentcontrollers may or may not benefit from predictable situations atdense traffic conditions when exposed to higher automatedairspace environment. The model is applied on 18 data setsfeaturing different i4D-equipage levels. It compares controllers’taskload for three different scenarios between an en-route and aterminal sector. 

Place, publisher, year, edition, pages
SESAR Joint Undertaking, 2016
Series
SESAR Innovation Days, ISSN 0770-1268
Keywords
Human-automation interaction; Air Traffic Controller (ATCO) taskload; airspace complexity; dynamic density
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-182708 (URN)
Conference
6th SESAR Innovation Days: Inspiring Long-Term Research in the Field of Air Traffic Management, SIDs 2016, Delft, 8 November 2016 through 10 November 2016
Available from: 2022-02-04 Created: 2022-02-04 Last updated: 2022-02-04
Organisations

Search in DiVA

Show all publications