Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84329
Title: Evaluation of 2D and 3D glove input applied to medical image analysis
Authors: de Koning, P. J. H.
Suinesiaputra, Avan.
van Schooten, B. W.
van der Geest, R. J.
Reiber, Johan H. C.
Sloot, Peter M. A.
Zudilova-Seinstra, Elena V.
Issue Date: 2009
Source: Zudilova-Seinstra, E. V., de Koning, P. J. H., Suinesiaputra, A., van Schooten, B. W., van der Geest, R. J., Reiber, J. H. C., et al. (2009). Evaluation of 2D and 3D glove input applied to medical image analysis. International Journal of Human-Computer Studies, 68(6), 355-369.
Series/Report no.: International journal of human-computer studies
Abstract: We describe a series of experiments that compared 2D/3D input methods for selection and positioning tasks related to medical image analysis. For our study, we chose a switchable P5 Glove Controller, which can be used to provide both 2DOF and 6DOF input control. Our results suggest that for both tasks the overall performance and accuracy can be improved when the input device with more degrees of freedom (DOF) is used for manipulation of the visualized medical data. 3D input turned out to be more beneficial for the positioning task than for the selection task. In order to determine a potential source of the difference in the task completion time between 2D and 3D input, we also investigated whether there was a significant difference between 2DOF and 6DOF input methods with regard to the time spent on task-specific basic manipulations.
URI: https://hdl.handle.net/10356/84329
http://hdl.handle.net/10220/10166
DOI: 10.1016/j.ijhcs.2009.08.001
Rights: © 2009 Elsevier Ltd.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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