AiSee-Reference-Cited by-同舟云学术

AiSee

Published:2020-12-17 Issue:4 Volume:4 Page:1-25
ISSN:2474-9567
Container-title:Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
language:en
Short-container-title:Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Author:

Boldu Roger¹,Matthies Denys J.C.²,Zhang Haimo¹,Nanayakkara Suranga¹

Affiliation:

1. Augmented Human Lab, The University of Auckland, Auckland, New Zealand

2. Augmented Human Lab, The University of Auckland, Auckland, New Zealand, Technical University of Applied Sciences Lübeck, Lübeck, Germany

Abstract

People with visual impairments (PVI) experience simple tasks, such as grocery shopping, to be an essential difficulty. Although the recent emergence of AI-technology has been dramatically improving visual recognition capabilities, the application to the daily life of PVI is still complex and erroneous. For example, image recognition engines require a clear shot of the targeted object and a contextual understanding of the information the user requires. In this paper, we aimed to understand the PVI's needs and their pain points in the task of identifying grocery items. Following a user-centered design process, we iteratively

Funder

Tertiary Education Commission

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Link

https://dl.acm.org/doi/pdf/10.1145/3432196

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