Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13673
Title: | From behaviour to design: implications for artifact ecologies as shared spaces for design activities | Authors: | Vasiliou, Christina Ioannou, Andri Zaphiris, Panayiotis |
Major Field of Science: | Social Sciences | Field Category: | Sociology | Keywords: | Artifact ecology;CSCW;Distributed cognition;Shared spaces | Issue Date: | 22-Apr-2019 | Source: | Behaviour and Information Technology, 2020, vol. 39, no. 4, pp. 463-480 | Volume: | 39 | Issue: | 4 | Start page: | 463 | End page: | 480 | Journal: | Behaviour & Information Technology | Abstract: | Researchers are increasingly exploring collaborative behaviour in complex socio-technical systems through in-the-wild investigations to understand, evaluate and technology. The space configuration and tools available in such activities are crucial for the successful collaboration of a group. This work offers an in-the-wild examination of six groups tackling a design project working in an artifact ecology, a space rich in physical and digital artifacts. We delve into the physical and digital space of each of the groups during a 3-month duration to obtain a rich understanding of their collaborative activities. The aim of this work is two-fold; provide summative narrations of each one of the five models of DiCoT to extract design implications and evaluate the usefulness of DiCoT as an analytical tool for understanding artifact ecologies. Through a rich dataset–interviews, focus groups, reflective diaries, online interactions, and video recordings–we construct a summative description of the group behaviour based on the methodological framework of Distributed Cognition for Teamwork. Drawing on these narrations, we provide design implications on the use of an artifact ecology as a shared space for design activities. Both outcomes are then used to evaluate the usefulness of DiCoT as an analytical tool for artifact implications. | ISSN: | 0144929X | DOI: | 10.1080/0144929X.2019.1601258 | Rights: | © Taylor & Francis | Type: | Article | Affiliation : | Northumbria University Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
2
checked on Nov 6, 2023
WEB OF SCIENCETM
Citations
1
Last Week
0
0
Last month
0
0
checked on Oct 29, 2023
Page view(s)
376
Last Week
0
0
Last month
3
3
checked on Nov 21, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.