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Predicting Creativity in the Wild: Experience Sampling Method and Sociometric Modeling of Movement and Face-To-Face Interactions in Teams

Abstract With the rapid growth of mobile computing and sensor technology, it is now possible to access data from a variety of sources. A big challenge lies in linking sensor based data with social and cognitive variables in humans in real world context. This dissertation explores the relationship between creativity in teamwork, and team members' movement and face-to-face interaction strength in the wild. Using sociometric badges (wearable sensors), electronic Experience Sampling Methods (ESM), the KEYS team creativity assessment instrument, and qualitative methods, three research studies were conducted in academic and industry R&D; labs. Sociometric badges captured movement of team members and face-to-face interaction between team members. K... (more)
Created Date 2011
Contributor Tripathi, Priyamvada (Author) / Burleson, Winslow (Advisor) / Liu, Huan (Committee member) / Vanlehn, Kurt (Committee member) / Pentland, Alex (Committee member) / Arizona State University (Publisher)
Subject Computer Science / Computer supported collaborative work / Creativity / Creativity support tools / Face-to-face interaction / Movement / Team Work
Type Doctoral Dissertation
Extent 134 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Computer Science 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis