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Eliciting People’s Conceptual Models of Activities and Systems

Blandford, A; (2013) Eliciting People’s Conceptual Models of Activities and Systems. International Journal of Conceptual Structures and Smart Applications , 1 (1) pp. 1-17. 10.4018/ijcssa.2013010101. Green open access

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Abstract

People using computer systems are required to work with the concepts implemented by system developers. If there is a poor fit between system concepts and users’ pre-existing conceptualisation of domain and task, this places a high workload on the user as they translate between their own conceptualisation and that imposed by the system. The focus of this paper is on how to identify users’ conceptualisations of a domain – ideally, prior to system implementation. For this, it is necessary to gather verbal data from people that allows them to articulate their conceptual models in ways that are not overly constrained by existing devices but allows them to articulate taken-for-granted knowledge. Possible study types include semi-structured interviews, contextual inquiry interviews and think-aloud protocols. The authors discuss how to design a study, covering choosing between different kinds of study, detailed planning of questions and tasks, data gathering, and preliminary data analysis.

Type: Article
Title: Eliciting People’s Conceptual Models of Activities and Systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.4018/ijcssa.2013010101
Publisher version: http://dx.doi.org/10.4018/ijcssa.2013010101
Language: English
Additional information: Copyright © 2013, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Deposited in UCL Discovery with the permission of the publisher.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1471573
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