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Selection as Tapping: An evaluation of 3D input techniques for timing tasks in musical Virtual Reality.
- Source :
-
International Journal of Human-Computer Studies . May2024, Vol. 185, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- While numerous studies have examined 3D interaction techniques for Virtual Reality (VR) across various tasks and scenarios, limited research has focused on music-related applications. However, the most common input techniques in consumer VR systems have been developed outside of the musical domain. Therefore they have not been tested in tasks where synchronization with auditory stimuli and timing plays a crucial role. There is a lack of empirical knowledge about performance and user experience. This paper presents a comparison of five selection input techniques for VR employing the tapping paradigm commonly utilized in the research on sensorimotor synchronization. We assess asynchrony and timing variance as well as user experience, encompassing factors such as ease of use, workload, and cybersickness of such techniques. The study involved 30 participants, both with and without musical expertise, and encompassed the examination of all techniques using one and two hands. Our analysis yielded several key findings: (1) different input techniques yielded distinct outcomes regarding timing asynchrony and variance; (2) the choice of interaction metaphor significantly influenced the user experience; (3) tracking stability emerged as a critical factor. Building upon these insights, we identified essential considerations for selecting the most suitable technique for music creation in VR and proposed design guidelines and future research directions in this domain. • Interaction techniques affect time precision. • The use of two alternating hands does not improve performance. • Buttons and touch surfaces enhance synchronization with auditory stimuli. • Musically-inspired gestures assist users in maintaining tempo without auditory cues. • Tracking stability represents a critical factor for timing tasks in VR. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10715819
- Volume :
- 185
- Database :
- Academic Search Index
- Journal :
- International Journal of Human-Computer Studies
- Publication Type :
- Academic Journal
- Accession number :
- 175724474
- Full Text :
- https://doi.org/10.1016/j.ijhcs.2024.103231