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Understanding Smartphone-based Online Shopping Experiences and Behaviors of Blind Users

원문정보

초록

영어

Smartphones provide blind users with screenreader as an accessibility tool. However, blind users often experience difficulties accessing online shopping malls via smartphones due to their inconsistent and image-based layouts. To enable screenreader users to get access to the detailed information about products while they are shopping online, we have developed BarrierFreeShop, an accessible mobile shopping application for people with visual impairments. BarrierFreeShop has three accessibility features: (1) layout automation, (2) review summarization, and (3) optical character recognition. We conducted a user study with 80 participants with visual impairments where they were asked to use BarrierFreeShop for a month. The findings revealed the effectiveness of our app in terms of speed and post interview feedback. We have also discovered typical shopping experiences that participants had during the test. This research suggests that computer vision technologies can improve accessibility issues in online shopping malls. In addition, we have confirmed that extracting contents from images help people with visual impairments to get better access to product information.

목차

Abstract
1. Introduction
2. Related Work
3. System Overview: BarrierFreeShop
3.1 User Scenario
3.2 Layout Automation
3.3 Review Summarization
3.4 Optical Character Recognition
4. User Study
4.1 Participants
4.2 Apparatus
4.3 Procedure
4.4 Data and Analysis
5. Findings
5.1 Online Shopping Behaviors
5.2 Purchased Items
5.3 Ability to Shop Online Independently
5.4 Subjective Feedback on BarrierFreeShop
6. Discussions
6.1 Inaccessible Items in Online Shopping
6.2 Active Online Shopping After Work
6.3 Design Recommendations
7. Conclusion and Future Work
References

저자정보

  • Jihyuk Park B.S., School of Electrical Engineering, KAIST, Daejeon, South Korea
  • Yeji Han B.S., School of Computing, KAIST, Daejeon, South Korea
  • Uran Oh Assistant Professor, Department of Computer Science and Engineering, Ewha Womans University

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