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A proposed framework for data-driven human factors evaluation

Published online by Cambridge University Press:  16 May 2024

Isabelle Ormerod ,
Henrikke Dybvik ,
Mike Fraser  and
Chris Snider
Isabelle Ormerod*
Affiliation:
University of Bristol, United Kingdom
Henrikke Dybvik
Affiliation:
University of Bristol, United Kingdom
Mike Fraser
Affiliation:
University of Bristol, United Kingdom
Chris Snider
Affiliation:
University of Bristol, United Kingdom
*
isabelle.ormerod@bristol.ac.uk

Abstract

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Human-centred approaches within the design cycle are crucial to enhance usability and inclusivity of products. However, the qualitative nature of traditional human factors evaluation can create bottle necks, prompting the need for more data driven methods. A framework for data-driven human factors is presented, looking to integrate mixed-method approaches. Case studies illustrate its usage in real-world scenarios and challenges are summarised, calling for robust data collection methods, balancing of mixed methods, a need for explainable systems, and interdisciplinary expertise.

Keywords

human-centred designinclusive designdata-driven design
Type
Design Theory and Research Methods
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 85 - 94
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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