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Forsell, Camilla
Publications (10 of 28) Show all publications
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
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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
IV 2019, 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)
Conference
2019 23rd International Conference Information Visualization (IV)
Available from: 2019-07-22 Created: 2019-07-22 Last updated: 2019-07-22
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
IV 2019, 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-160960 (URN)
Conference
2019 23rd International Conference Information Visualization (IV)
Available from: 2019-10-16 Created: 2019-10-16 Last updated: 2019-10-16
Jönsson, D., Bergström, A., Forsell, C., Simon, R., Engström, M., Ynnerman, A. & Hotz, I. (2019). A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data. In: Eurographics Workshop on Visual Computing for Biology and Medicine: . Paper presented at Eurographics Workshop on Visual Computing for Biology and Medicine.
Open this publication in new window or tab >>A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data
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2019 (English)In: Eurographics Workshop on Visual Computing for Biology and Medicine, 2019Conference paper, Published paper (Refereed)
Abstract [en]

We present an interactive visual environment for linked analysis of brain imaging and clinical measurements. The environment is developed in an iterative participatory design process involving neuroscientists investigating the causes of brain-related complex diseases. The hypotheses formation process about correlations between active brain regions and physiological or psychological factors in studies with hundreds of subjects is a central part of the investigation. Observing the reasoning patterns during hypotheses formation, we concluded that while existing tools provide powerful analysis options, they lack effective interactive exploration, thus limiting the scientific scope and preventing extraction of knowledge from available data.Based on these observations, we designed methods that support neuroscientists by integrating their existing statistical analysis of multivariate subject data with interactive visual explorationto enable them to better understand differences between patient groups and the complex bidirectional interplay between clinical measurement and the brain. These exploration concepts enable neuroscientists, for the first time during their investigations, to interactively move between and reason about questions such as ‘which clinical measurements are correlated with a specific brain region?’ or ‘are there differences in brain activity between depressed young and old subjects?’. The environment uses parallel coordinates for effective overview and selection of subject groups, Welch's t-test to filter out brain regions with statistically significant differences, and multiple visualizations of Pearson correlations between brain regions and clinical parameters to facilitate correlation analysis. A qualitative user study was performed with three neuroscientists from different domains. The study shows that the developed environment supports simultaneous analysis of more parameters, provides rapid pathways to insights, and is an effective support tool for hypothesis formation.

National Category
Media and Communication Technology
Identifiers
urn:nbn:se:liu:diva-160856 (URN)10.2312/vcbm.20191232 (DOI)978-3-03868-081-9 (ISBN)
Conference
Eurographics Workshop on Visual Computing for Biology and Medicine
Projects
Seeing Organ Function
Funder
Knut and Alice Wallenberg Foundation, 2013-0076Swedish Research Council, 2015-05462ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research Center
Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-29
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
Ynnerman, A., Rydell, T., Persson, A., Ernvik, A., Forsell, C., Ljung, P. & Lundström, C. (2015). Multi-Touch Table System for Medical Visualization. In: Eurographics 2015: Dirk Bartz Prize. Paper presented at Eurographics 2015. Eurographics - European Association for Computer Graphics
Open this publication in new window or tab >>Multi-Touch Table System for Medical Visualization
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2015 (English)In: Eurographics 2015: Dirk Bartz Prize, Eurographics - European Association for Computer Graphics, 2015Conference paper, Published paper (Other academic)
Abstract [en]

Medical imaging plays a central role in a vast range of healthcare practices. While the usefulness of 3D visualizations is well known, the adoption of such technology has previously been limited in many medical areas. This paper, awarded the Dirk Bartz Prize for Visual Computing in Medicine 2015, describes the development of a medical multi-touch visualization table that successfully has reached its aim to bring 3D visualization to a wider clinical audience. The descriptions summarize the targeted clinical scenarios, the key characteristics of the system, and the user feedback obtained.

Place, publisher, year, edition, pages
Eurographics - European Association for Computer Graphics, 2015
National Category
Other Medical Engineering Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-130543 (URN)10.2312/egm.20151030 (DOI)
Conference
Eurographics 2015
Available from: 2016-08-15 Created: 2016-08-15 Last updated: 2018-01-10
Forsell, C. & Cooper, M. (2014). An Introduction and Guide to Evaluation of Visualization Techniques Through User Studies. In: Weidong Huang (Ed.), Handbook of human centric visualization: (pp. 285-313). New York: Springer
Open this publication in new window or tab >>An Introduction and Guide to Evaluation of Visualization Techniques Through User Studies
2014 (English)In: Handbook of human centric visualization / [ed] Weidong Huang, New York: Springer, 2014, p. 285-313Chapter in book (Refereed)
Place, publisher, year, edition, pages
New York: Springer, 2014
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-108553 (URN)10.1007/978-1-4614-7485-2_11 (DOI)9781461474845 (ISBN)9781461474852 (ISBN)
Available from: 2014-06-30 Created: 2014-06-30 Last updated: 2018-07-19Bibliographically approved
Johansson, J., Forsell, C. & Cooper, M. (2014). On the usability of three-dimensional display in parallel coordinates: Evaluating the efficiency of identifying two-dimensional relationships. Information Visualization, 13(1), 29-41
Open this publication in new window or tab >>On the usability of three-dimensional display in parallel coordinates: Evaluating the efficiency of identifying two-dimensional relationships
2014 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 13, no 1, p. 29-41Article in journal (Refereed) Published
Abstract [en]

In recent years, several different attempts have been made to extend the well-known technique of parallel coordinates using a three-dimensional display. This article presents an evaluation that investigates the performance of the three-dimensional parallel coordinates technique and compares it with standard, two-dimensional parallel coordinates for analysis of two-dimensional relationships. Three-dimensional parallel coordinates, based on parallel planes instead of parallel axes, have been used for many years within the information visualization community for a variety of applications. Despite its quite common use, no formal evaluation detailing its usefulness for different tasks has been conducted. The evaluation presented in this article is the first step towards determining the usefulness of this type of three-dimensional parallel coordinates. The study compared three-dimensional parallel coordinates, using two different axis configurations commonly seen in the literature, with standard two-dimensional parallel coordinates for identification of two-dimensional relationships between variables in multivariate data. This type of task and the relationships to be judged are known to be well supported by two-dimensional parallel coordinates and multi-relational three-dimensional parallel coordinates. The results show that for identification of two-dimensional relationships, two-dimensional parallel coordinates are superior to the three-dimensional extensions, in terms of both response time and accuracy. Subjective opinions were also in favour of two-dimensional parallel coordinates. This study adds to the much-needed body of work examining the usability of three-dimensional representations in information visualization and for what tasks and data a proposed method is or is not appropriate.

Place, publisher, year, edition, pages
Sage Publications, 2014
Keywords
Information visualization, evaluation, usability, parallel coordinates, 3D parallel coordinates
National Category
Media and Communication Technology
Identifiers
urn:nbn:se:liu:diva-102653 (URN)10.1177/1473871613477091 (DOI)000331375900003 ()
Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2018-01-11Bibliographically approved
Lundberg, J., Johansson, J., Forsell, C. & Josefsson, B. (2014). The Use of Conflict Detection Tools in Air Traffic Management – an Unobtrusive Eye Tracking Field Experiment During Controller Competence Assurance. In: HCI-Aero 2014 - International Conference on Human-Computer Interaction in Aerospace: . Paper presented at HCI-Aero 2014 - International Conference on Human-Computer Interaction in Aerospace. Mountain View, CA, USA: ACM Press
Open this publication in new window or tab >>The Use of Conflict Detection Tools in Air Traffic Management – an Unobtrusive Eye Tracking Field Experiment During Controller Competence Assurance
2014 (English)In: HCI-Aero 2014 - International Conference on Human-Computer Interaction in Aerospace, Mountain View, CA, USA: ACM Press, 2014Conference paper, Published paper (Refereed)
Abstract [en]

This study aims at explaining loss of separation events over the Swedish air space in 2011- 2012, which occurred despite an automated conflict detection tool working as designed. The study suggests that there may be a trade-off between spending visual scan time on own conflict detection versus visual scan time spent on examining potential conflicts presented by the conflict detection automation. The issue is hard to solve, and is unfortunately far from resolved. This area of research requires a substantial applied research effort, if the goal is to both increase safety and capacity of ATM through the use of automation.

Place, publisher, year, edition, pages
Mountain View, CA, USA: ACM Press, 2014
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-115869 (URN)10.1145/2669592.2669655 (DOI)
Conference
HCI-Aero 2014 - International Conference on Human-Computer Interaction in Aerospace
Available from: 2015-03-20 Created: 2015-03-20 Last updated: 2019-07-15
Lundberg, J., Forsell, C., Johansson, J. & Josefsson, B. (2013). AMPLIFY ATM TEAMWORK WITH AUTOMATION: An Eye Tracking Study of Air Traffic Management Tools on Two Large Displays During Regular ATM Simulator Training. In: : . Paper presented at Sesar Innovation Days.
Open this publication in new window or tab >>AMPLIFY ATM TEAMWORK WITH AUTOMATION: An Eye Tracking Study of Air Traffic Management Tools on Two Large Displays During Regular ATM Simulator Training
2013 (English)Conference paper, Poster (with or without abstract) (Other academic)
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-119142 (URN)
Conference
Sesar Innovation Days
Available from: 2015-06-10 Created: 2015-06-10 Last updated: 2018-01-11Bibliographically approved
Tominski, C., Forsell, C. & Johansson, J. (2012). Interaction Support for Visual Comparison Inspired by Natural Behavior. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2719-2728
Open this publication in new window or tab >>Interaction Support for Visual Comparison Inspired by Natural Behavior
2012 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 18, no 12, p. 2719-2728Article in journal (Refereed) Published
Abstract [en]

Visual comparison is an intrinsic part of interactive data exploration and analysis. The literature provides a large body of existing solutions that help users accomplish comparison tasks. These solutions are mostly of visual nature and custom-made for specific data. We ask the question if a more general support is possible by focusing on the interaction aspect of comparison tasks. As an answer to this question, we propose a novel interaction concept that is inspired by real-world behavior of people comparing information printed on paper. In line with real-world interaction, our approach supports users (1) in interactively specifying pieces of graphical information to be compared, (2) in flexibly arranging these pieces on the screen, and (3) in performing the actual comparison of side-by-side and overlapping arrangements of the graphical information. Complementary visual cues and add-ons further assist users in carrying out comparison tasks. Our concept and the integrated interaction techniques are generally applicable and can be coupled with different visualization techniques. We implemented an interactive prototype and conducted a qualitative user study to assess the concepts usefulness in the context of three different visualization techniques. The obtained feedback indicates that our interaction techniques mimic the natural behavior quite well, can be learned quickly, and are easy to apply to visual comparison tasks.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2012
Keywords
Interaction techniques, visual comparison, visualization, human-computer interaction, natural interaction
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-86625 (URN)10.1109/TVCG.2012.237 (DOI)000310143100077 ()
Available from: 2012-12-20 Created: 2012-12-20 Last updated: 2017-12-06
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