GazeHand2: A Gaze-Driven Virtual Hand Interface with Improved Gaze Depth Control for Distant Object Interaction
Research on Virtual Reality (VR) interfaces for distant object interaction has been carried out to improve user experience. Since hand-only interfaces and gaze-only interfaces have limitations such as physical fatigue or restricted usage, VR interaction interfaces using both gaze and hand input have been proposed. However, current gaze + hand interfaces still have restrictions such as difficulty in translating along the gaze ray direction, using less realistic methods, or limited rotation support. This study aims to design a new distant object interaction technique that supports hand-based interaction with high freedom of object interaction in immersive VR. In this study, we developed GazeHand2, a hand-based object interaction technique, which features a new depth control that enables free object manipulation in VR. Building on the strength of the original GazeHand, GazeHand2 can control the change rate of the gaze depth by using the relative position of the hand, allowing users to translate the object to any position. To validate our design, we conducted a user study on object manipulation, which compares it with other gaze + hand interfaces (Gaze+Pinch and ImplicitGaze). Result showed that, compared to other conditions, GazeHand2 reduced 39.3% to 54.3% of hand movements and 27.8% to 47.1% of head movements under 3 m and 5 m tasks. It also significantly increased overall user experiences (0.69 to 1.12 pt higher than Gaze+Pinch and 1.18 to 1.62 pt higher than ImplicitGaze). Furthermore, over half of the participants preferred GazeHand2 because it supports convenient and efficient object translation and hand-based realistic object manipulation. We concluded that GazeHand2 can support simple and effective distant object interaction with reduced physical fatigue and higher user experiences compared to other interfaces in immersive VR. We suggested future designs to improve interaction accuracy and user convenience for future works.
Authors
- Gun Lee (ORCID: https://orcid.org/0000-0002-1644-6934)
- Jaejoon Jeong (ORCID: https://orcid.org/0009-0005-9734-2182)
- Hyung-Jeong Yang (ORCID: https://orcid.org/0000-0003-3024-5060)
- Soo-Hyung Kim (ORCID: https://orcid.org/0000-0003-3575-5035)
- Seungwon Kim (ORCID: https://orcid.org/0000-0003-4221-3058)
Institutions
- Chonnam National University (KR)
- University of South Australia (AU)
Publication Details
- Journal
- Electronics
- Published
- 2025-06-22
- DOI
- https://doi.org/10.3390/electronics14132530
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion
- Division of Human Resource Development