TY - GEN
T1 - A Study on Contextual Task Performance of Simulated Homonymous Hemianopia Patients with Computational Glasses-based Compensation
AU - Ge, Chao
AU - Zhu, Zhenyang
AU - Ichinose, Keisuke
AU - Fujishiro, Issei
AU - Toyoura, Masahiro
AU - Go, Kentaro
AU - Kashiwagi, Kenji
AU - Mao, Xiaoyang
N1 - Funding Information:
This work is supported by JSPS Grants-in-Aid for Scientific Research (Grant No. 17H00738, 20K20408, 22H00549, and 22K21274). We would like to thank all the volunteers participated in our evaluation experiments.
Publisher Copyright:
© 2022 ACM.
PY - 2022/12/27
Y1 - 2022/12/27
N2 - People with Homonymous Hemianopia (HH) suffer from losing ipsilateral half side of visual field in both eyes, which results in failing to obtain visual information in the lost field. Making using of the remaining of the visual field, the state-of-the-art studies proposed Overlaid Overview Window (OOW) and Edge Indicator (EI) on the basis of Augmented-Reality (AR) glasses for compensation. However, experiments conducted in these studies investigate user performance with tasks involving events in lost field or remaining field singly. On the other hand, both studies recruited normal individuals for mock experiment, while their way to simulate HH, which requiring the participants to fix their view angles, were not practical to real HH patients. In this study, we conduct a contextual information experiment to investigate the user performance involving in the task requiring the information across both the visible and invisible sides of HH, with the compensation of OOW and Flicker-based EI (FEI). At the same time, we also recruit volunteers with normal vision for mock experiment, while the participants in our study are allowed to move their gaze freely, because we simulate the invisible field of HH on AR glasses with eye tracking. The experiment results showed that OOW is better for the task that related to move something from the remaining FoV to the lost FoV, while FEI is better for moving something from the lost FoV to the remaining FoV.
AB - People with Homonymous Hemianopia (HH) suffer from losing ipsilateral half side of visual field in both eyes, which results in failing to obtain visual information in the lost field. Making using of the remaining of the visual field, the state-of-the-art studies proposed Overlaid Overview Window (OOW) and Edge Indicator (EI) on the basis of Augmented-Reality (AR) glasses for compensation. However, experiments conducted in these studies investigate user performance with tasks involving events in lost field or remaining field singly. On the other hand, both studies recruited normal individuals for mock experiment, while their way to simulate HH, which requiring the participants to fix their view angles, were not practical to real HH patients. In this study, we conduct a contextual information experiment to investigate the user performance involving in the task requiring the information across both the visible and invisible sides of HH, with the compensation of OOW and Flicker-based EI (FEI). At the same time, we also recruit volunteers with normal vision for mock experiment, while the participants in our study are allowed to move their gaze freely, because we simulate the invisible field of HH on AR glasses with eye tracking. The experiment results showed that OOW is better for the task that related to move something from the remaining FoV to the lost FoV, while FEI is better for moving something from the lost FoV to the remaining FoV.
KW - Augmented-Reality
KW - Contextual
KW - Eye Tracking
KW - Simulated Homonymous Hemianopia
KW - Visual field defect
UR - http://www.scopus.com/inward/record.url?scp=85147249791&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85147249791&partnerID=8YFLogxK
U2 - 10.1145/3574131.3574441
DO - 10.1145/3574131.3574441
M3 - Conference contribution
AN - SCOPUS:85147249791
T3 - Proceedings - VRCAI 2022: 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
BT - Proceedings - VRCAI 2022
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
T2 - 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2022
Y2 - 27 December 2022 through 29 December 2022
ER -