Virtual collision techniques are interaction techniques for invoking discrete events in a virtual scene, e.g. throwing, pushing, or pulling an object with a pointer. The conventional approach involves detecting collisions as soon as the pointer makes contact with the object. Furthermore, in general, motor patterns can only be adjusted based on visual feedback. The paper presents a multimodal technique based on the principle that collisions should be aligned with the most salient sensory feedback. Boxer (1) triggers a collision at the moment where the pointer's speed reaches a minimum after first contact and (2) is synchronized with vibrotactile stimuli presented to the hand controlling the pointer. Boxer was compared with the conventional technique in two user studies (with temporal pointing and virtual batting). Boxer improved spatial precision in collisions by 26.7% while accuracy was compromised under some task conditions. No difference was found in temporal precision. Possibilities for improving virtual collision techniques are discussed.
|Title of host publication||ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction|
|Editors||Edward Lank, Eve Hoggan, Sriram Subramanian, Alessandro Vinciarelli, Stephen A. Brewster|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||9|
|Publication status||Published - 2017 Nov 3|
|Event||19th ACM International Conference on Multimodal Interaction, ICMI 2017 - Glasgow, United Kingdom|
Duration: 2017 Nov 13 → 2017 Nov 17
|Name||ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction|
|Conference||19th ACM International Conference on Multimodal Interaction, ICMI 2017|
|Period||17/11/13 → 17/11/17|
Bibliographical noteFunding Information:
The research received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 637991). It was supported also by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1C1B2002101).
© 2017 ACM.
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Hardware and Architecture