Affiliation:
1. Old Dominion University, Norfolk, VA, USA
2. Stony Brook University, Stony Brook, NY, USA
Abstract
Online discussion forums have become an integral component of news, entertainment, information, and video-streaming websites, where people all over the world actively engage in discussions on a wide range of topics including politics, sports, music, business, health, and world affairs. Yet, little is known about their usability for blind users, who aurally interact with the forum conversations using screen reader assistive technology. In an interview study, blind users stated that they often had an arduous and frustrating interaction experience while consuming conversation threads, mainly due to the highly redundant content and the absence of customization options to selectively view portions of the conversations. As an initial step towards addressing these usability concerns, we designed PView - a browser extension that enables blind users to customize the content of forum threads in real time as they interact with these threads. Specifically, PView allows the blind users to explicitly hide any post that is irrelevant to them, and then PView automatically detects and filters out all subsequent posts that are substantially similar to the hidden post in real time, before the users navigate to those portions of the thread. In a user study with blind participants, we observed that compared to the status quo, PView significantly improved the usability, workload, and satisfaction of the participants while interacting with the forums.
Funder
National Institutes of Health
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
Reference74 articles.
1. Julio Abascal , Myriam Arrue , and Xabier Valencia . 2019. Tools for web accessibility evaluation. Web accessibility: a foundation for research ( 2019 ), 479--503. Julio Abascal, Myriam Arrue, and Xabier Valencia. 2019. Tools for web accessibility evaluation. Web accessibility: a foundation for research (2019), 479--503.
2. Detecting Deceptive Reviews Using Generative Adversarial Networks
3. Affective Representations for Sarcasm Detection
4. Mubarik Ahmad , Kasiyah Junus , and Harry Budi Santoso . 2022. Automatic content analysis of asynchronous discussion forum transcripts: A systematic literature review. Education and Information Technologies ( 2022 ), 1--56. Mubarik Ahmad, Kasiyah Junus, and Harry Budi Santoso. 2022. Automatic content analysis of asynchronous discussion forum transcripts: A systematic literature review. Education and Information Technologies (2022), 1--56.
5. Increasing Social Presence in Online Learning through Small Group Discussions
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献