Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Collaborative appropriation: how couples, teams, groups and communities adapt and adopt technologies

Muller, Michael, Neureiter, Katja, Verdezoto, Nervo ORCID: https://orcid.org/0000-0001-5006-4262, Krischkowsky, Alina, Al Zubaidi-Polli, Anna Maria and Tscheligi, Manfred 2016. Collaborative appropriation: how couples, teams, groups and communities adapt and adopt technologies. Presented at: CSCW '16: Computer Supported Cooperative Work and Social Computing, San Francisco,US, Feb 2016. CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion. Association for Computing Machinery, US, pp. 473-480. 10.1145/2818052.2855508

Full text not available from this repository.

Abstract

Previous workshops examined how individual users adopt and adapt technologies to meet local needs, “completing design through use.” However, there has been little systematic study of how groups engage collaboratively in these activities. This workshop opens a discussion for these forms of collaborative appropriation, including field studies, design explorations, theoretical accounts, and critical reflections. We invite submissions addressing the following and other topics in collaborative appropriation: Practical experiences in design for collaborative appropriation Flexible, open design and tailorability as support for collaborative appropriation Design goals, guidelines, and principles for collaborative appropriation Major drivers to design for collaborative appropriation Emergent roles (actors) in collaborative appropriation practices Characterization and differentiation of collaborative appropriation between couples, teams, groups, and communities Lessons learned from other design movements and research domains to inform the design for collaborative appropriation

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Association for Computing Machinery, US
ISBN: 9781450339506
Last Modified: 07 Nov 2022 09:30
URI: https://orca.cardiff.ac.uk/id/eprint/129373

Citation Data

Cited 12 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item