Identifying Opportunities for Valuable Encounters: Toward Context-Aware Social Matching Systems

被引:11
作者
Mayer, Julia M. [1 ]
Jones, Quentin [1 ]
Hiltz, Starr Roxanne [1 ]
机构
[1] New Jersey Inst Technol, Dept Informat Syst, Newark, NJ 07103 USA
基金
美国国家科学基金会;
关键词
Design; Human Factors; Context-aware social matching; social discovery; introduction systems; context-awareness; social recommender systems; INTERPERSONAL-ATTRACTION; SIMILARITY-ATTRACTION; INFORMATION; STRANGERS; KINDNESS; WORK;
D O I
10.1145/2751557
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile social matching systems have the potential to transform the way we make new social ties, but only if we are able to overcome the many challenges that exist as to how systems can utilize contextual data to recommend interesting and relevant people to users and facilitate valuable encounters between strangers. This article outlines how context and mobility influence people's motivations to meet new people and presents innovative design concepts for mediating mobile encounters through context-aware social matching systems. Findings from two studies are presented. The first, a survey study (n = 117) explored the concept of contextual rarity of shared user attributes as a measure to improve desirability in mobile social matches. The second, an interview study (n = 58) explored people's motivations to meet others in various contexts. From these studies we derived a set of novel context-aware social matching concepts, including contextual sociability and familiarity as an indicator of opportune social context; contextual engagement as an indicator of opportune personal context; and contextual rarity, oddity, and activity partnering as an indicator of opportune relational context. The findings of these studies establish the importance of different contextual factors and frame the design space of context-aware social matching systems.
引用
收藏
页数:32
相关论文
共 98 条
[1]  
Abowd GD, 1999, LECT NOTES COMPUT SC, V1707, P304
[2]   Cyberguide: A mobile context-aware tour guide [J].
Abowd, Gregory D. ;
Atkeson, Christopher G. ;
Hong, Jason ;
Long, Sue ;
Kooper, Rob ;
Pinkerton, Mike .
WIRELESS NETWORKS, 1997, 3 (05) :421-433
[3]   Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions [J].
Adomavicius, G ;
Tuzhilin, A .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2005, 17 (06) :734-749
[4]  
Adomavicius G, 2011, RECOMMENDER SYSTEMS HANDBOOK, P217, DOI 10.1007/978-0-387-85820-3_7
[5]  
[Anonymous], P 2005 C DES US EXPE
[6]  
[Anonymous], Vilna Bulletin
[7]  
[Anonymous], 1986, Introduction to Modern Information Retrieval
[8]  
[Anonymous], 1990, HIDDEN DIMENSION
[9]  
[Anonymous], 2012, RECOMMENDER SYSTEMS
[10]  
[Anonymous], J DOCUMENTATION