The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evaluation of a Hybrid of Hand Gesture and Controller Inputs in Virtual Reality
Abstract
Controller and hand gesture recognition are both common input mechanisms in immersive environments. We evaluate the effect of combining them as a hybrid input to perform game-like tasks. To explore the possible design space, three tests were conducted sequentially. First, a design study was conducted to investigate which of the tasks were most likely to be performed with hybrid inputs. Next, we implemented the four highest-ranked tasks and invited 22 participants to perform these tasks with different input combinations. From examining execution times and reviewing feedback from participants, we provide observations and discussions concerning the usage of a hybrid input. A follow-up experiment was designed to refine these observations. The results indicate that task execution using hybrid inputs is as efficient as bimanual controllers when assigning actions to the appropriate input. Finally, a few guidelines are provided suggesting how to consider possible scenarios for this hybrid input.
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Kangas, J., Kumar, S. K., Mehtonen, H., Järnstedt, J., & Raisamo, R. (2022) · Multimodal Technologies and Interaction · doi:10.3390/mti6010006 · Cited by 42
Metadata
- Authors
- Huang, Y.-J., Liu, K.-Y., Lee, S.-S., & Yeh, I.-C.
- Affiliations
- Yuan Ze University (TW)
- R&D Department, e-SOFT Corp, Taipei, Taiwan
- Corresponding author
- Huang, Yi-Jheng
- Venue
- International Journal of Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2020-08-26
- Volume
- 37
- Issue
- 2
- Pages
- 169-180
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W3080832445
- Cited by
- 29
- References
- 2
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 4 · 2023: 5 · 2022: 6 · 2021: 2
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Funders
- Ministryof Science and Technology (MOST-108-2221-E-155-033-MY2, MOST-107-2218-E-155-008-MY3)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Keywords
- hand gesture recognition, virtual reality input devices, task execution time, immersive environments
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