Projects per year
Abstract
Target selection is a fundamental task in interactive Augmented Reality (AR) systems. Predicting the intended target of selection in such systems can provide users with a smooth, low-friction interaction experience. Our work aims to predict gaze-based target selection in AR headsets with eye and head endpoint distributions, which describe the probability distribution of eye and head 3D orientation when a user triggers a selection input. We first conducted a user study to collect users' eye and head behavior in a gaze-based pointing selection task with two confirmation mechanisms (air tap and blinking). Based on the study results, we then built two models: a unimodal model using only eye endpoints and a multimodal model using both eye and head endpoints. Results from a second user study showed that the pointing accuracy is improved by approximately 32% after integrating our models into gaze-based selection techniques.
Original language | English |
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Title of host publication | CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450394215 |
DOIs | |
Publication status | Published - 19 Apr 2023 |
Event | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 |
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Country/Territory | Germany |
City | Hamburg |
Period | 23/04/23 → 28/04/23 |
Keywords
- Augmented reality
- error prediction
- eye input
- selection modeling
- target selection
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Virtual Reality Education Technology for Smart Museums
1/01/23 → 31/12/25
Project: Governmental Research Project
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Natural Interaction Techniques for Immersive Data Visualization
Yu, L., Liang, H. N., Li, Y. & Isenberg, T.
1/01/23 → 31/12/26
Project: Governmental Research Project
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Study on Extended Reality Collaboration Technology for Metaverse
Li, Y., Liang, H. N., Yu, L., Pan, Y., Zhang, S., Xu, N. & chai, K.
1/07/22 → 30/06/24
Project: Governmental Research Project