Article

An Artifact Ecology in a Nutshell: A Distributed Cognition Perspective for Collaboration and Coordination

Authors:

Christina Vasiliou,

Panayiotis ZaphirisAuthors Info & Claims

Human-Computer Interaction – INTERACT 2015

Pages 55 - 72

https://doi.org/10.1007/978-3-319-22668-2_5

Published: 10 March 2022 Publication History

Abstract

An artifact ecology is an environment where multiple heterogeneous technologies co-exist and are interlinked as a unified system. To construct effective ecologies of artifacts for collaborative activities we need to acquire deep understanding of the complex interactions and interdependencies between users and tools. Researchers have identified Distributed Cognition (DC) as a powerful tool for understanding these interdependencies. In this study, DC, and particularly the DiCoT framework, were considered ideal for constructing this understanding for four student-groups during collaborative activities in an artifact ecology. Using DiCoT we analysed learners’ behaviour and how the artifact ecology supported collaboration and cooperation. The cognitive system was described from three different perspectives - physical layout, information flow and artifacts - which (i) allowed an in-depth understanding of the interactions among learners and tools during collaborative activities and (ii) provided insights on how the affordances of the artifact ecology supported collaboration and coordination.

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Cited By

Milbak T(2024)Nurses Data Work as an Entry Point for Exploring how Bias is Considered in PracticeCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3665129(62-66)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3656156.3665129

Index terms have been assigned to the content through auto-classification.

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Information

Published In

cover image Guide Proceedings

Human-Computer Interaction – INTERACT 2015

661 pages

ISBN:978-3-319-22667-5

DOI:10.1007/978-3-319-22668-2

Editors:
Julio Abascal
Universidad del País Vasco/Euskal Herriko Unibertsitatea, Donostia-San Sebastián, Spain
,
Simone Barbosa
PUC-Rio, Rio de Janeiro, Brazil
,
Mirko Fetter
University of Bamberg, Bamberg, Germany
,
Tom Gross
University of Bamberg, Bamberg, Germany
,
Philippe Palanque
University Paul Sabatier, Toulouse, France
,
Marco Winckler
University Paul Sabatier, Toulouse, France

Copyright © 2015 IFIP International Federation for Information Processing.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 10 March 2022

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Cited By

Milbak T(2024)Nurses Data Work as an Entry Point for Exploring how Bias is Considered in PracticeCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3665129(62-66)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3656156.3665129

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