Evaluation of 2D and 3D glove input applied to medical image analysis
| Autor: | Avan Suinesiaputra, Elena Zudilova-Seinstra, B.W. van Schooten, R.J. van der Geest, Peter M. A. Sloot, P.J.H. de Koning, Johan H. C. Reiber |
|---|---|
| Přispěvatelé: | School of Computer Engineering, Computational Science Lab (IVI, FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Computer science
EWI-18101 General Engineering Human Factors and Ergonomics Input device Degrees of freedom (mechanics) Education Task (project management) Image (mathematics) Human-Computer Interaction Hardware and Architecture Control theory METIS-270896 Software Selection (genetic algorithm) Simulation 2D/3D input devices Medical segmentation Interactive steering tasks User study resonance angiographic images segmentation |
| Zdroj: | International journal of human-computer studies, 68(6), 355-369. Academic Press Inc. International Journal of Human-Computer Studies, 68(6), 355-369. Academic Press Inc. International Journal of Human-Computer Studies, 68(6), 355-369 |
| ISSN: | 1071-5819 |
| Popis: | 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 (C) 2009 Elsevier Ltd All rights reserved |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect