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Investigating simulator validity by using physiological and cognitive stress indicators

Title data

Czaban, Marcin ; Himmels, Chantal:
Investigating simulator validity by using physiological and cognitive stress indicators.
In: Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 114 (2025) . - pp. 831-851.
ISSN 1873-5517
DOI: https://doi.org/10.1016/j.trf.2025.07.006

Abstract in another language

Driving simulators are indispensable tools in modern automotive research and development. However, the transferability of findings to real-world driving, and thus, the validity of simulator-based results, cannot be assumed without empirical validation.
In this study, we examined physiological (Galvanic Skin Response-based measures, Electrocardiogram-based measures, salivary cortisol) and cognitive (NASA Task Load Index, Short Stress State Questionnaire, single-item ratings) stress indicators by comparing a real-world driving circuit with seven distinct sections to a medium-fidelity driving simulator, applying a Bayesian analytical approach. The results present a mixed picture, with both absolute and relative validity observed for certain physiological and cognitive stress indicators. Overall, our findings suggest that stress responses in the simulator and real-world driving are comparable, although the simulator was subjectively perceived as more stressful.
These results provide valuable insights into the validity of simulators for stress research and underscore the need to consider individual differences, experimental conditions, and methodological approaches in future studies.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Driving Simulator Validation; Physiological Measurement; Stressmeasurement; Cognitive Workload; Galvanic Skin Response; Electrocardiogram; Salivary Cortisol
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation > Chair Business Administration XIV - Marketing and Innovation - Univ.-Prof. Dr. Daniel Baier
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 24 Sep 2025 05:41
Last Modified: 24 Sep 2025 05:41
URI: https://eref.uni-bayreuth.de/id/eprint/94778