What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VizWiz: nearly real-time answers to visual questions
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
In the shadow of misperception: assistive technology use and social interactions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Fashion for the blind: a study of perspectives
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Designing a social network to support the independence of young adults with autism
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Accessible clothing tags: designing for individuals with visual impairments
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Designing an accessible clothing tag system for people with vision impairments
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Motivating contribution in a participatory sensing system via quid-pro-quo
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Remote shopping advice: enhancing in-store shopping with social technologies
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Sighted eye for the blind guy: providing personalized responses to visual questions
ACM SIGACCESS Accessibility and Computing
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Fashion is a language. How we dress signals to others who we are and how we want to be perceived. However, this language is primarily visual, making it inaccessible to people with vision impairments. Someone who is low-vision or completely blind cannot see what others are wearing or readily know what constitutes the norms and extremes of fashion, but most everyone they encounter can see (and judge) their fashion choices. We describe our findings of a diary study with people with vision impairments that revealed the many accessibility barriers fashion presents, and how an online survey revealed that clothing decisions are often made collaboratively, regardless of visual ability. Based on these findings, we identified a need for a collaborative and real-time environment for fashion advice. We have tested the feasibility of providing this advice through crowdsourcing using VizWiz, a mobile phone application where participants receive nearly real-time answers to visual questions. Our pilot study results show that this application has the potential to address a great need within the blind community, but remaining challenges include improving photo capture and assembling a set of crowd workers with the requisite expertise. More broadly our research highlights the feasibility of using crowdsourcing for subjective, opinion-based advice.