A Study on Contextual Task Performance of Simulated Homonymous Hemianopia Patients with Computational Glasses-based Compensation

Chao Ge, Zhenyang Zhu, Keisuke Ichinose, Issei Fujishiro, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Xiaoyang Mao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - VRCAI 2022
Subtitle of host publication18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400700316
DOIs
Publication statusPublished - 2022 Dec 27
Event18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2022 - Virtual, Online, China
Duration: 2022 Dec 272022 Dec 29

Publication series

NameProceedings - VRCAI 2022: 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

Conference

Conference18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2022
Country/TerritoryChina
CityVirtual, Online
Period22/12/2722/12/29

Keywords

  • Augmented-Reality
  • Contextual
  • Eye Tracking
  • Simulated Homonymous Hemianopia
  • Visual field defect

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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