TY - GEN
T1 - FocusFlow
T2 - 36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023
AU - Zhang, Chenyang
AU - Chen, Tiansu
AU - Nedungadi, Rohan Russel
AU - Shaffer, Eric
AU - Soltanaghai, Elahe
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/10/29
Y1 - 2023/10/29
N2 - Current gaze input methods for VR headsets predominantly utilize the gaze ray as a pointing cursor, often neglecting depth information in it. This study introduces FocusFlow, a novel gaze interaction technique that integrates focal depth into gaze input dimensions, facilitating users to actively shift their focus along the depth dimension for interaction. A detection algorithm to identify the user's focal depth is developed. Based on this, a layer-based UI is proposed, which uses focal depth changes to enable layer switch operations, offering an intuitive hands-free selection method. We also designed visual cues to guide users to adjust focal depth accurately and get familiar with the interaction process. Preliminary evaluations demonstrate the system's usability, and several potential applications are discussed. Through FocusFlow, we aim to enrich the input dimensions of gaze interaction, achieving more intuitive and efficient human-computer interactions on headset devices.
AB - Current gaze input methods for VR headsets predominantly utilize the gaze ray as a pointing cursor, often neglecting depth information in it. This study introduces FocusFlow, a novel gaze interaction technique that integrates focal depth into gaze input dimensions, facilitating users to actively shift their focus along the depth dimension for interaction. A detection algorithm to identify the user's focal depth is developed. Based on this, a layer-based UI is proposed, which uses focal depth changes to enable layer switch operations, offering an intuitive hands-free selection method. We also designed visual cues to guide users to adjust focal depth accurately and get familiar with the interaction process. Preliminary evaluations demonstrate the system's usability, and several potential applications are discussed. Through FocusFlow, we aim to enrich the input dimensions of gaze interaction, achieving more intuitive and efficient human-computer interactions on headset devices.
KW - focal depth
KW - gaze interaction
KW - user interface design
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85178292805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178292805&partnerID=8YFLogxK
U2 - 10.1145/3586182.3615818
DO - 10.1145/3586182.3615818
M3 - Conference contribution
AN - SCOPUS:85178292805
T3 - UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
BT - UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery
Y2 - 29 October 2023 through 1 November 2023
ER -