Remote shopping advice: enhancing in-store shopping with social technologies.

CSCW(2014)

引用 55|浏览49
暂无评分
摘要
ABSTRACTConsumers 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.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要