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"
}