A Study on Contextual Task Performance of Simulated Homonymous Hemianopia Patients with Computational Glasses-based Compensation
A Study on Contextual Task Performance of Simulated Homonymous Hemianopia Patients with Computational Glasses-based Compensation
复制标题
基于计算眼镜补偿的模拟同向偏盲患者情境任务表现研究
DOI:
10.1145/3574131.3574441
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Xiaoyang Mao
中科院分区:
文献类型:
--
作者:
Chao Ge;Zhenyang Zhu;Keisuke Ichinose;Issei Fujishiro;Kentaro Go;Kenji Kashiwagi;Masahiro Toyoura;Xiaoyang Mao
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.
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DOI:
10.1109/tvcg.2018.2868559
发表时间:
2018-09
影响因子:
5.2
作者:
Long Qian;Alexander Plopski;Nassir Navab;P. Kazanzides
通讯作者:
Long Qian;Alexander Plopski;Nassir Navab;P. Kazanzides
影响因子:
0.8
作者:
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通讯作者:
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DOI:
10.1016/j.cag.2020.04.001
发表时间:
2020
期刊:
Computers & Graphics
影响因子:
--
作者:
Zhao;Xi;Fujishiro;Issei;Go;Kentaro;Toyoura;Masahiro;Kashiwagi;Kenji;Mao;Xiaoyang
通讯作者:
Xiaoyang
影响因子:
4.2
作者:
L. Duszynski
通讯作者:
L. Duszynski
影响因子:
4.2
作者:
Sayed, Ahmed M.;Abdel-Mottaleb, Mostafa;Abou Shousha, Mohamed
通讯作者:
Abou Shousha, Mohamed