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ABSTRACT
Although the Internet provides powerful tools for social interactions, many tasks-for example, information-seeking-are undertaken as solitary activities. Information seekers are unaware of the invisible crowd traveling in parallel to their course through the information landscape. Social navigation systems attempt to make the invisible crowd visible, while social recommender systems try to introduce people directly. However, it is not clear whether users desire or will respond to social cues indicating the presence of other people when they are focused on a task. To investigate this issue, we created an online game-playing task and paired subjects to perform the task based on their responses to a short survey about demographics and interests. We studied how these factors influence task outcomes, the interaction process, and attitudes towards one's partner. We found that demographic similarity affected how people interact with each other, even though this information was not explicit, while similarities or differences in task-relevant interests did not. Our findings suggest guidelines for developing social recommender systems and show the need for further research into conditions that will help such systems succeed.
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CITED BY 6
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Pamela J. Ludford , Dan Cosley , Dan Frankowski , Loren Terveen, Think different: increasing online community participation using uniqueness and group dissimilarity, Proceedings of the SIGCHI conference on Human factors in computing systems, p.631-638, April 24-29, 2004, Vienna, Austria
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Philip Bonhard , Clare Harries , John McCarthy , M. Angela Sasse, Accounting for taste: using profile similarity to improve recommender systems, Proceedings of the SIGCHI conference on Human Factors in computing systems, April 22-27, 2006, Montréal, Québec, Canada
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Dan Cosley , Dan Frankowski , Loren Terveen , John Riedl, SuggestBot: using intelligent task routing to help people find work in wikipedia, Proceedings of the 12th international conference on Intelligent user interfaces, January 28-31, 2007, Honolulu, Hawaii, USA
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.3
Group and Organization Interfaces
Subjects:
Computer-supported cooperative work
Additional Classification:
H.
Information Systems
H.1
MODELS AND PRINCIPLES
H.1.2
User/Machine Systems
Subjects:
Human factors
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Evaluation/methodology
H.5.3
Group and Organization Interfaces
Subjects:
Synchronous interaction
General Terms:
Design,
Experimentation,
Human Factors,
Measurement
Keywords:
community,
demographics,
friendship,
matchmaking,
recommender systems,
similarity,
social navigation
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