Japanese / English

Detail of Publication

Text Language English
Authors Masakazu Iwamura, Takaaki Kawai, Keigo Takashima, Kazunori Minatani, and Koichi Kise
Title Acquiring Surrounding Visual Information without Actively Taking Photos for People with Visual Impairment
Journal Proc. Joint International Conference on Digital Inclusion, Assistive Technology & Accessibility (ICCHP-AAATE 2022)
Vol. 13341
Series Lecture Notes in Computer Science
Pages pp.229-240
Location Lecco, Italy
Reviewed or not Reviewed
Presentation type Oral
Month & Year July 2022
Abstract Recent advancements in recognition technology allow people with visual impairment to obtain visual information from their surroundings using smartphone apps and assistive devices. This paper points out a problem with this approach that has not attracted much attention. That is, the user is required to actively take a photo, which is not always easy for people with visual impairment. To address this problem, in contrast to the current standard approach, which we call active information acquisition, we propose passive information acquisition (PIA), which does not require the user to actively take a photo. However, PIA creates a new problem. That is, the app tends to transfer too much information to the user. Therefore, this paper explores better ways for people with visual impairment toward obtaining only the desired visual information in PIA. Specifically, we experimented with nine people with visual impairment to evaluate seven information transmission methods, including information summarization and interactive communication methods.
DOI 10.1007/978-3-031-08648-9_27
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