TY - GEN
T1 - Crowdsourcing subjective fashion advice using vizwiz
T2 - 14th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2012
AU - Burton, Michele A.
AU - Brady, Erin
AU - Brewer, Robin
AU - Neylan, Callie
AU - Bigham, Jeffrey P.
AU - Hurst, Amy
PY - 2012
Y1 - 2012
N2 - 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 judgetheir 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.
AB - 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 judgetheir 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.
KW - Blind Users
KW - Crowdsourcing
KW - Fashion
UR - http://www.scopus.com/inward/record.url?scp=84869825408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869825408&partnerID=8YFLogxK
U2 - 10.1145/2384916.2384941
DO - 10.1145/2384916.2384941
M3 - Conference contribution
AN - SCOPUS:84869825408
SN - 9781450313216
T3 - ASSETS'12 - Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility
SP - 135
EP - 142
BT - ASSETS'12 - Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility
Y2 - 22 October 2012 through 24 October 2012
ER -