The Wisdom of Crowds
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Proceedings of the International Conference on Advanced Visual Interfaces
VizWiz: nearly real-time answers to visual questions
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Crowds in two seconds: enabling realtime crowd-powered interfaces
Proceedings of the 24th annual ACM symposium on User interface software and technology
Tie strength in question & answer on social network sites
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Perceptions of facebook's value as an information source
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Soft trust and mCommerce shopping behaviours
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
Crowdsourcing subjective fashion advice using VizWiz: challenges and opportunities
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
Real-time crowd labeling for deployable activity recognition
Proceedings of the 2013 conference on Computer supported cooperative work
Investigating the appropriateness of social network question asking as a resource for blind users
Proceedings of the 2013 conference on Computer supported cooperative work
EmailValet: managing email overload through private, accountable crowdsourcing
Proceedings of the 2013 conference on Computer supported cooperative work
Proceedings of the 2013 conference on Computer supported cooperative work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Favors from facebook friends: unpacking dimensions of social capital
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"Shared joy is double joy": the social practices of user networks within group shopping sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Consumers shopping in "brick-and-mortar" (non-virtual) stores often use their mobile phones to consult with others about potential purchases. Via a survey (n = 200), we detail current practices in seeking remote shopping advice. We then consider how emerging social platforms, such as social networking sites and crowd labor markets, could offer rich next-generation remote shopping advice experiences. We conducted a field experiment in which shoppers shared photographs of potential purchases via MMS, Facebook, and Mechanical Turk. Paid crowdsourcing, in particular, proved surprisingly useful and influential as a means of augmenting in-store shopping. Based on our findings, we offer design suggestions for next-generation remote shopping advice systems.