Research on user experience of the video game difficulty based on flow theory and fNIRS
Dong Yu,
Shurui Wang,
Fanghao Song,
Yan Liu,
Shiyi Zhang,
Yirui Wang,
Xiaojiao Xie and
Zihan Zhang
Behaviour and Information Technology, 2023, vol. 42, issue 6, 789-805
Abstract:
Difficulty balance in the game level design is particularly important for user experience (UX). This study uses cognitive control and flow theory as a starting point, and based on the functional near-infrared spectroscopy technology, this research obtained oxygenated hemoglobin concentration (ΔHbO2) signals from three brain areas in the prefrontal cortex (PFC), namely the dorsolateral prefrontal cortex (DLPFC), the ventral prefrontal cortex (VLPFC), and the frontal area (FPA). Combined with the subjective flow state scale to explore the reaction difference between the video game players (VGPs) and the non-video game players (NVGPs) during the entire period of playing video games and the moment of game difficulty changes. The results show that VGPs and NVGPs have significant differences between flow state and HbO2 signals in different brain regions of the PFC. The players’ flow state is affected by the game difficulty. The HbO2 signals in the players’ DLPFC and FPA have a linear dependence relation with the flow state. This research proves that VGPs and NVGPs have different UX with game difficulty changes from the cognitive perspective. The results provide a reference for the future game level design about game difficulty balance to achieve a better UX in the game.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2022.2043442 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:42:y:2023:i:6:p:789-805
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2022.2043442
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().