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

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Palmas,  Gregorio
Computer Graphics, MPI for Informatics, Max Planck Society;

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Bachynskyi,  Myroslav
Computer Graphics, MPI for Informatics, Max Planck Society;

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Oulasvirta,  Antti
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons123492

Weinkauf,  Tino
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0024-4D4C-4
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.