Comparing Social Science and Computer Science Workflow Processes for Studying Group Interactions

Authors

Joseph A. Allen, University of Nebraska at OmahaFollow
Colin Fisher, University College London
Mohamed Chetouani, Institut des Systèmes Intelligents et de Robotique Université Pierre et Marie CURIE, France
Ming Ming Chiu, Purdue University
Hatice Gunes, University of Cambridge
Marc Mehu, Webster Vienna Private University
Hayley Hung, Delft University of Technology

Document Type

Article

Publication Date

8-2-2017

Publication Title

Small Group Research

Volume

48

Issue

5

Abstract

In this article, a team of authors from the Geeks and Groupies workshop, in Leiden, the Netherlands, compare prototypical approaches to studying group interaction in social science and computer science disciplines, which we call workflows. To help social and computer science scholars understand and manage these differences, we organize workflow into three major stages: research design, data collection, and analysis. For each stage, we offer a brief overview on how scholars from each discipline work. We then compare those approaches and identify potential synergies and challenges. We conclude our article by discussing potential directions for more integrated and mutually beneficial collaboration that go beyond the producer–consumer model.

Comments

© The Author(s) 2017 Reprints and permissions: sagepub.com/journalsPermissions.nav DOI: 10.1177/1046496417721747

Recommended Citation

Allen, Joseph A.; Fisher, Colin; Chetouani, Mohamed; Chiu, Ming Ming; Gunes, Hatice; Mehu, Marc; and Hung, Hayley, "Comparing Social Science and Computer Science Workflow Processes for Studying Group Interactions" (2017). Psychology Faculty Publications. 188.
https://digitalcommons.unomaha.edu/psychfacpub/188