Social net: using patterns of physical proximity over time to infer shared interests
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Close Encounters: Supporting Mobile Collaboration through Interchange of User Profiles
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Common attributes in an unusual context: predicting the desirability of a social match
Proceedings of the fourth ACM conference on Recommender systems
GDC: Group Discovery Using Co-location Traces
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
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Mobile social matching systems have the potential to transform the way we make new social ties. Yet, there are many challenges as to how systems could utilize contextual data to support serendipitous introductions between strangers. I investigate how contextual factors influence people's motivations to meet new people and how opportunistic social matching system design can benefit from concepts like contextual rarity, oddity and sociability. My research will result in an enhanced understanding of people's context-dependent motivations to meet new people and will contribute a theoretical model that predicts contextually-relevant match opportunities and innovative design affordances for opportunistic social matching systems.