Uncovering associations between users' behaviour and their flow experience
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Date
2024-10-25
Authors
Oliveira, Wilk
Hamari, Juho
Ferreira, William
Pastushenko, Olena
Toda, Armando
Toledo Palomino, Paula
Isotani, Seiji
ORCID
0000-0002-0388-3115Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
TAYLOR & FRANCIS LTD
Altmetrics
Abstract
Flow experience is one of the most ambitious targets of any user interface designer. However, it has remained elusive to evaluate how well user interfaces give rise to flow experience outside conducting invasive self-reporting-based questionnaires, which remove the users from the flow experience and can't be massively applied. At the same time, otherwise, well-built systems do track the behaviour of users on the interface, and therefore, user behaviour data could act as a reliable proxy for assessing the experience of users. Currently, there is little empirical research or data about which indices of user behaviours might correspond with having a flow experience as well as the different psychological constituents of the flow experience. Therefore, facing the challenge of using users' behaviour data to model users' experience, we investigated the associations between users' behaviour data (e.g. mouse clicks, activity time in the system, and average response time) and their self-reported flow experience by using data mining (i.e. associations rules) analysing data from 204 subjects. Results demonstrate that the speed of users' actions negatively affects the flow experience antecedents while also positively affecting the loss of self-consciousness. Our study advances the literature, providing insights to identify users' flow experience through behaviour data.
Description
Citation
BEHAVIOUR & INFORMATION TECHNOLOGY. 2024, vol. 43, issue 14, p. 3416-3435.
https://www.tandfonline.com/doi/epdf/10.1080/0144929X.2023.2276822?src=getftr&getft_integrator=scopus
https://www.tandfonline.com/doi/epdf/10.1080/0144929X.2023.2276822?src=getftr&getft_integrator=scopus
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en