The design process of iConnect: social advice application

  • Authors:
  • Shane Wachirawutthichai;Nisha Singh;Ramji Enamuthu;Yun Zhou

  • Affiliations:
  • University of Washington, Seattle, WA, USA;University of Washington, Seattle, WA, USA;University of Washington, Seattle, WA, USA;University of Washington, Seattle, WA, USA

  • Venue:
  • CHI '11 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2011

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Abstract

With Google [9] having established itself as the de-facto standard for document search and retrieval, the focus has shifted recently to the domain of social search. Morris et al. [12] define social search as "the process of finding information online with the assistance of social resources such as friends or unknown persons". A number of online services [1, 2, 3, 4, 5] have been created to enable social search. But most of these are not useful when a person is mobile and offline and when the information need is highly context-specific. To enable social search in such situations, we introduce iConnect, the social advice application for mobile phones. iConnect is designed to enable a unique kind of social search, where an iConnect user is connected to other iConnect users in the same geographic region or locality. This would help people to solve their daily information needs. This paper illustrates the design process that we employed to conceptualize and prototype this application.