TY - GEN
T1 - Exploring 3D Interaction with Gaze Guidance in Augmented Reality
AU - Bao, Yiwei
AU - Wang, Jiaxi
AU - Wang, Zhimin
AU - Lu, Feng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Recent research based on hand-eye coordination has shown that gaze could improve object selection and translation experience under certain scenarios in AR. However, several limitations still exist. Specifically, we investigate whether gaze could help object selection with heavy 3D occlusions and help 3D object translation in the depth dimension. In addition, we also investigate the possibility of reducing the gaze calibration burden before use. Therefore, we develop new methods with proper gaze guidance for 3D interaction in AR, and also an implicit online calibration method. We conduct two user studies to evaluate different interaction methods and the results show that our methods not only improve the effectiveness of occluded objects selection but also alleviate the arm fatigue problem significantly in the depth translation task. We also evaluate the proposed implicit online calibration method and find its accuracy comparable to standard 9 points explicit calibration, which makes a step towards practical use in the real world.
AB - Recent research based on hand-eye coordination has shown that gaze could improve object selection and translation experience under certain scenarios in AR. However, several limitations still exist. Specifically, we investigate whether gaze could help object selection with heavy 3D occlusions and help 3D object translation in the depth dimension. In addition, we also investigate the possibility of reducing the gaze calibration burden before use. Therefore, we develop new methods with proper gaze guidance for 3D interaction in AR, and also an implicit online calibration method. We conduct two user studies to evaluate different interaction methods and the results show that our methods not only improve the effectiveness of occluded objects selection but also alleviate the arm fatigue problem significantly in the depth translation task. We also evaluate the proposed implicit online calibration method and find its accuracy comparable to standard 9 points explicit calibration, which makes a step towards practical use in the real world.
KW - Human-centered computing-Human computer interaction (HCI)-HCI design and evaluation methods-User studies
KW - Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Mixed/augmented reality
UR - https://www.scopus.com/pages/publications/85159576945
U2 - 10.1109/VR55154.2023.00018
DO - 10.1109/VR55154.2023.00018
M3 - 会议稿件
AN - SCOPUS:85159576945
T3 - Proceedings - 2023 IEEE Conference Virtual Reality and 3D User Interfaces, VR 2023
SP - 22
EP - 32
BT - Proceedings - 2023 IEEE Conference Virtual Reality and 3D User Interfaces, VR 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE Conference Virtual Reality and 3D User Interfaces, VR 2023
Y2 - 25 March 2023 through 29 March 2023
ER -