Objective evaluation of seat discomfort on eRacing performance.
Background: While physical and mental health training guidelines have received much attention and scientific scrutinisation for traditional sports, these guidelines have not yet been developed for electronic sports (eSports). One important factor for developing these guidelines is to find appropriat...
| Publicado en: | Work Vol. 83; no. 1; pp. 64 - 74 |
|---|---|
| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jan2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190662379&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190662379 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: Jan2026 vid: 83 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 190662379 181424868 190662379 190662379 10.1177/10519815241290330 190662379 ppf: 64 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Objective evaluation of seat discomfort on eRacing performance. aug: au: Vanheusden, Frederique J Ogilvie, Molly O affil: Department of Engineering, Nottingham Trent University, Nottingham, UK sug: subj: Task Performance and Analysis Video Games Sitting Comfort Stress, Psychological Biophysiological Methods Ergonomics Human Female Male Adolescence Young Adult Adult Experimental Studies Questionnaires Electroencephalography Electrocardiography Vibration Scales Summated Rating Scaling Electrodes Signal Processing, Computer Assisted Analysis of Variance Spectral Analysis Algorithms Data Analysis Software Post Hoc Analysis Matched-Pair Analysis Correlation Coefficient Descriptive Statistics Adolescent: 13-18 years Adult: 19-44 years Female Male ab: Background: While physical and mental health training guidelines have received much attention and scientific scrutinisation for traditional sports, these guidelines have not yet been developed for electronic sports (eSports). One important factor for developing these guidelines is to find appropriate ways to objectively measure performance and wellbeing of eSport participants through a combination of behavioural and physiological measurements. Objective: To determine the effect of perceived discomfort on stress levels and task performance during racing simulation (eRacing) activities using physiological and behavioural measurements. Methods: Discomfort and stress were analysed using questionnaires, electro-encephalography, electrocardiography, and galvanic skin response while 17 participants engaged in off-line Assetto Corsa racing simulation competitions. Results: Discomfort slightly increased with prolonged seating, and perceived task difficulty significantly increased stress and self-assessed task performance. While significant differences could be observed in electro-encephalographic (EEG) alpha-, beta-band activity and galvanic skin responses (GSR) data, these were not correlated to perceived stress, discomfort, or performance. Conclusions: This study showed the potential for using physiological measurements to monitor eSport player performance before, after and during eRacing activities. While no significant correlations with behavioural assessments were found, further studies could build on the suggested physiological markers to determine effects of competitive environments on eSport participants' wellbeing. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|