Serious Game Applications for Driver Training: An Extended Technology Acceptance Model (TAM) with Flow Theory.

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Bibliographic Details
Title: Serious Game Applications for Driver Training: An Extended Technology Acceptance Model (TAM) with Flow Theory.
Authors: Su, Jiayu (AUTHOR), Wang, Yuhui (AUTHOR), Li, Zhirong (AUTHOR), Deng, Xinyun (AUTHOR)
Source: International Journal of Human-Computer Interaction. Dec2025, Vol. 41 Issue 24, p15761-15777. 17p.
Subjects: Technology Acceptance Model, Flow theory (Psychology), Automobile drivers, Participation, Automobile driver education, Digital computer simulation, Educational games, Satisfaction
Abstract: Serious games hold significant potential for application in the domain of driving training, however, the actual acceptance of these serious games by novice users remains to be validated. This study explores novice drivers' acceptance of serious games for driving training by integrating flow theory (perceived enjoyment [PE], perceived control [PC], concentration [CON]) with the TAM. Data from 335 Chinese novice drivers participating in a simulation test were analyzed via covariance-based structural equation modeling (CB-SEM). Key findings: (i) PE, PC, CON, and perceived ease of use (PEOU) significantly affect perceived usefulness (PU); PE and CON also influence PEOU. (ii) PE, CON, PEOU, and PU directly predict behavioral intention (BI), while PC shows no significant impact on BI or PEOU. (iii) Female participants scored higher than males in PU, PE, CON, and BI. Our findings provide valuable practical insights for the design and development of driving serious games. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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Abstract:Serious games hold significant potential for application in the domain of driving training, however, the actual acceptance of these serious games by novice users remains to be validated. This study explores novice drivers' acceptance of serious games for driving training by integrating flow theory (perceived enjoyment [PE], perceived control [PC], concentration [CON]) with the TAM. Data from 335 Chinese novice drivers participating in a simulation test were analyzed via covariance-based structural equation modeling (CB-SEM). Key findings: (i) PE, PC, CON, and perceived ease of use (PEOU) significantly affect perceived usefulness (PU); PE and CON also influence PEOU. (ii) PE, CON, PEOU, and PU directly predict behavioral intention (BI), while PC shows no significant impact on BI or PEOU. (iii) Female participants scored higher than males in PU, PE, CON, and BI. Our findings provide valuable practical insights for the design and development of driving serious games. [ABSTRACT FROM AUTHOR]
ISSN:10447318
DOI:10.1080/10447318.2025.2501180