Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
A large scale study of wireless search behavior: Google mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
QuME: a mechanism to support expertise finding in online help-seeking communities
Proceedings of the 20th annual ACM symposium on User interface software and technology
A diary study of mobile information needs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
How people use the web on mobile devices
Proceedings of the 17th international conference on World Wide Web
Understanding the intent behind mobile information needs
Proceedings of the 14th international conference on Intelligent user interfaces
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
mimir: a market-based real-time question and answer service
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Questions in, knowledge in?: a study of naver's question answering community
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Journal of the American Society for Information Science and Technology
Fields and pathways: Contrasting or complementary views of information seeking
Information Processing and Management: an International Journal
Why pay?: exploring how financial incentives are used for question & answer
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
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Mobile search pattern evolution: the trend and the impact of voice queries
Proceedings of the 20th international conference companion on World wide web
Supporting synchronous social q&a throughout the question lifecycle
Proceedings of the 20th international conference on World wide web
Collaborative search revisited
Proceedings of the 2013 conference on Computer supported cooperative work
Social media question asking workshop
Proceedings of the 2013 conference on Computer supported cooperative work companion
Analyzing crowd workers in mobile pay-for-answer q&a
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual challenges in the everyday lives of blind people
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Recently questioning and answering (Q&A) communities that facilitate knowledge sharing among people have been introduced to the mobile environments such as Naver Mobile Q&A and ChaCha. These mobile Q&A services are very different from traditional Q&A sites in that questions/answers are short in length and are exchanged via mobile devices (e.g., SMS or mobile Internet). While traditional Q&A sites have been well investigated, so far little is known about the mobile Q&A usage. To understand mobile Q&A usage, we analyzed 2.4 million question/answer pairs spanning a 14 month period from Naver Mobile Q&A and performed a complementary survey study of 555 active mobile Q&A users. We find that mobile Q&A is deeply wired into users' everyday life activities - its usage is largely dependent on users' spatial, temporal, and social contexts; the key factors of mobile Q&A usage are accessibility/convenience of mobile Q&A, promptness of receiving answers, and users' satisficing behavior of information seeking (i.e., minimizing efforts and settling with good enough information). We also observe that users tend to seek more factual information attributed to everyday life activities than they do on traditional Q&A sites and that they exhibit unique interaction patterns such as repeating and refining questions as coping strategies in seeking information needs. Our main findings reported in the paper have significant implications on the design of mobile Q&A systems.