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  MovExp: A Versatile Visualization Tool for Human-Computer Interaction Studies with 3D Performance and Biomechanical Data

Palmas, G., Bachynskyi, M., Oulasvirta, A., Seidel, H.-P., & Weinkauf, T. (2014). MovExp: A Versatile Visualization Tool for Human-Computer Interaction Studies with 3D Performance and Biomechanical Data. IEEE Transactions on Visualization and Computer Graphics, 20(12), 2359-2368. doi:10.1109/TVCG.2014.2346311.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-4D4C-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2E62-1
Genre: Journal Article
Latex : {MovExp}: A Versatile Visualization Tool for Human-Computer Interaction Studies with {3D} Performance and Biomechanical Data

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 Creators:
Palmas, Gregorio1, Author           
Bachynskyi, Myroslav1, Author           
Oulasvirta, Antti1, Author           
Seidel, Hans-Peter1, Author                 
Weinkauf, Tino1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In Human-Computer Interaction (HCI), experts seek to evaluate and compare the performance and ergonomics of user interfaces. Recently, a novel cost-efficient method for estimating physical ergonomics and performance has been introduced to HCI. It is based on optical motion capture and biomechanical simulation. It provides a rich source for analyzing human movements summarized in a multidimensional data set. Existing visualization tools do not sufficiently support the HCI experts in analyzing this data. We identified two shortcomings. First, appropriate visual encodings are missing particularly for the biomechanical aspects of the data. Second, the physical setup of the user interface cannot be incorporated explicitly into existing tools. We present MovExp, a versatile visualization tool that supports the evaluation of user interfaces. In particular, it can be easily adapted by the HCI experts to include the physical setup that is being evaluated, and visualize the data on top of it. Furthermore, it provides a variety of visual encodings to communicate muscular loads, movement directions, and other specifics of HCI studies that employ motion capture and biomechanical simulation. In this design study, we follow a problem-driven research approach. Based on a formalization of the visualization needs and the data structure, we formulate technical requirements for the visualization tool and present novel solutions to the analysis needs of the HCI experts. We show the utility of our tool with four case studies from the daily work of our HCI experts.

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Language(s): eng - English
 Dates: 20142014-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: palmas14b
DOI: 10.1109/TVCG.2014.2346311
 Degree: -

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Title: IEEE Transactions on Visualization and Computer Graphics
Source Genre: Journal
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Affiliations:
Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: 20 (12) Sequence Number: - Start / End Page: 2359 - 2368 Identifier: ISSN: 1077-2626
CoNE: https://pure.mpg.de/cone/journals/resource/954925605807

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Title: IEEE Visual Analytics Science & Technology Conference, IEEE Information Visualization Conference, and IEEE Scientific Visualization Conference Proceedings 2014
  Subtitle : Proceedings 2014 ; Paris, France, 9–14 November 2014
  Abbreviation : IEEE VIS 2014
Source Genre: Proceedings
 Creator(s):
Chen, Min1, Editor
Ebert, David1, Author
Hauser, Helwig1, Author
Heer, Jeffrey1, Author
North, Chris1, Author
Tory, Melanie1, Author
Qu, Huamin1, Author
Shen, Han-Wei1, Author
Ynnerman, Anders1, Author
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -