Title
Idioculture in crowd computing: A focus on group interaction in an event-driven social media system
Abstract
This study aims to establish a conceptual framework on the characteristics of idioculture in crowd computing, as well as the antecedents and consequences of idioculture. Idioculture is defined as distinct cultural elements that characterize a certain group. It is important in group interaction because it can be used as a tool to seek a group's optimal distinctiveness, which is a natural human desire to maintain a balance between being too inclusive or too personalized in crowd settings. In order to provide empirical data for the conceptual framework, this study developed a crowd computing system prototype, named event-driven social media (EDSM), which supports idioculture emergence and sharing in a crowd setting. The prototype was implemented in a massive-scale event involving approximately 20,000 people. The study results were derived from content analysis on 5988 text messages from 1510 users exchanged through EDSM during the event and interviews with 15 users after the event. The findings revealed that group cultures were triggered by EDSM to become idioculture, and the idioculture shared through EDSM affected user experience. First, sources of idioculture included collective, playful, and routine-breaking group cultures. Second, the characteristics of idioculture included catchwords, humorous references, and nicknames. Third, by sharing idioculture, users of EDSM were able to experience social connectedness, group cohesion, and social enjoyment. This study ends with implications on the design of EDSM from the perspective of HCI.
Year
DOI
Venue
2011
10.1016/j.ijhcs.2011.02.001
Int. J. Hum.-Comput. Stud.
Keywords
Field
DocType
Event-driven social media,Crowd computing,Optimal distinctiveness theory,Idioculture,Small group culture
User experience design,Social connectedness,Content analysis,Social media,Social network,Computer science,Group cohesiveness,Human–computer interaction,The Conceptual Framework,Conceptual framework
Journal
Volume
Issue
ISSN
69
10
International Journal of Human - Computer Studies
Citations 
PageRank 
References 
1
0.36
13
Authors
5
Name
Order
Citations
PageRank
Seongtaek Lim1443.78
Sang Yun Cha240.77
Chala Park340.77
Inseong Lee434321.78
Jinwoo Kim51918168.52