Determining the impact of computer frustration on the mood of blind users browsing the web
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Analysis of navigability of Web applications for improving blind usability
ACM Transactions on Computer-Human Interaction (TOCHI)
Accessibility commons: a metadata infrastructure for web accessibility
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Textual demand analysis: detection of users' wants and needs from opinions
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Sasayaki: augmented voice web browsing experience
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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While the usability of voice-based Web navigation has been steadily improving, it is still not as easy for users with visual impairments as it is for sighted users. One reason is that sequential voice representation can only convey a limited amount of information at a time. Another challenge comes from the fact that current voice browsers omit various visual cues such as text styles and page structures, and lack meaningful feedback about the current focus. To address these issues, we created Sasayaki, an intelligent voice-based user agent that augments the primary voice output of a voice browser with a secondary voice that whispers contextually relevant information as appropriate or in response to user requests. A prototype has been implemented as a plug-in for a voice browser. The results from a pilot study show that our Sasayaki agent is able to improve users' information search task time and their overall confidence level. We believe that our intelligent voice-based agent has great potential to enrich the Web browsing experiences of users with visual impairments.