Publication detail
Uncovering associations between users' behaviour and their flow experience
OLIVEIRA, W. HAMARI, J. FERREIRA, W. PASTUSHENKO, O. TODA, A. TOLEDO PALOMINO, P. ISOTANI, S.
Original Title
Uncovering associations between users' behaviour and their flow experience
Type
journal article in Web of Science
Language
English
Original 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.
Keywords
Flow experience; user interface; user experience; information systems; accessibility
Authors
OLIVEIRA, W.; HAMARI, J.; FERREIRA, W.; PASTUSHENKO, O.; TODA, A.; TOLEDO PALOMINO, P.; ISOTANI, S.
Released
25. 10. 2024
Publisher
TAYLOR & FRANCIS LTD
Location
ABINGDON
ISBN
0144-929X
Periodical
BEHAVIOUR & INFORMATION TECHNOLOGY
Year of study
43
Number
14
State
United Kingdom of Great Britain and Northern Ireland
Pages from
3416
Pages to
3435
Pages count
20
URL
Full text in the Digital Library
BibTex
@article{BUT197615,
author="Wilk {Oliveira} and Juho {Hamari} and William {Ferreira} and Olena {Pastushenko} and Armando {Toda} and Paula {Toledo Palomino} and Seiji {Isotani}",
title="Uncovering associations between users' behaviour and their flow experience",
journal="BEHAVIOUR & INFORMATION TECHNOLOGY",
year="2024",
volume="43",
number="14",
pages="3416--3435",
doi="10.1080/0144929X.2023.2276822",
issn="0144-929X",
url="https://www.tandfonline.com/doi/epdf/10.1080/0144929X.2023.2276822?src=getftr&getft_integrator=scopus"
}