Creative collaboration and flow

Validating the use of trace data to measure dynamics of creative flow in collaborative design teams

Conference paper (2015)

Authors

Lorraine Kisselburgh Purdue University

Ninger Zhou Purdue University

R.S.K. Chandrasegaran Purdue University

Sriram Karthik Badam University of Maryland

Niklas Elmqvist University of Maryland

Kylie Peppler Indiana University - Purdue University

Karthik Ramani Purdue University

Affiliation

External organisation

Engineering design Sociometrics Creative collaboration Group flow

To reference this document use:

http://resolver.tudelft.nl/uuid:f79d71a0-e169-4220-a0a6-cc229890a62e

More Info

expand_more

Published Date

2015

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Affiliation

External organisation

Abstract

We use sociometric trace data to create an index of dynamic group flow in collaborative design teams. Sixteen students in four teams worked on a collaborative engineering design task, while wearing sociometric devices to collect real-time data on team interaction. Results indicate that group flow as measured by dynamic trace data is partially correlated with self-reported flow. This finding implies the potential to use trace data to provide reliable and dynamic measures of task engagement during collaborative learning.