Volume 12, Issue 1 (Spring 2025)
johe 2025, 12(1): 21-33 |
Back to browse issues page
Research code: 4001740
Ethics code: IR. MUMS. FHMPM. REC. 1401. 072
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Namaei A, Jamali J, Gharib S. Evaluation of Validity, Reliability and Cultural Adaptation of the Interaction-Dependence-Human-Machine Questionnaire (Persian Version) for Measuring Driver-Vehicle Cooperation. johe 2025; 12 (1) :21-33
URL: http://johe.umsha.ac.ir/article-1-976-en.html
URL: http://johe.umsha.ac.ir/article-1-976-en.html
1- Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran
2- Department of Statistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
3- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran & Department of Health, Safety, Environment Management, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran ,seif.gharib@gmail.com
2- Department of Statistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran & Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
3- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran & Department of Health, Safety, Environment Management, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran ,
Abstract: (1699 Views)
Background and Objective: With the advancement of artificial intelligence technologies in smart cars, the development of an instrument to assess driver–vehicle cooperation appears increasingly necessary. This study was conducted to determine the validity, reliability, and cultural adaptation of the Persian version of the Human-Machine Interaction and Interdependence Questionnaire for measuring the degree of interaction between drivers and vehicles in Iran.
Materials and Methods: After obtaining permission from Mashhad University of Medical Sciences, conceptual translation and examination of face and content validity, repeatability, and internal consistency were evaluated by 30 experts. Construct validity was subsequently assessed through confirmatory and exploratory factor analyses conducted on data obtained from 312 Iranian drivers.
Results: The final structure of the questionnaire was extracted as consisting of 28 items across seven primary dimensions with acceptable validity and reliability (α=0.73 and ICC=0.87). These dimensions were: Conflict, Power, Mutual Dependence during decision-making, Mutual Dependence in the decision outcome, Information Certainty: System to Human, Information Certainty: Human to System, and Future Interdependence. The mean impact score, content validity ratio (CVR), and content validity index (CVI) were 3.77, 0.88, and 0.95, respectively.
Conclusion: The Persian version of the Human-Machine Interaction and Interdependence Questionnaire demonstrated acceptable validity and reliability, and its multidimensional structure effectively reflects the dimensions of the mutual interdependence theory. It indicates the developed tool can serve as a valid instrument for assessing the interaction and cooperation between drivers and smart vehicles in future studies.
Materials and Methods: After obtaining permission from Mashhad University of Medical Sciences, conceptual translation and examination of face and content validity, repeatability, and internal consistency were evaluated by 30 experts. Construct validity was subsequently assessed through confirmatory and exploratory factor analyses conducted on data obtained from 312 Iranian drivers.
Results: The final structure of the questionnaire was extracted as consisting of 28 items across seven primary dimensions with acceptable validity and reliability (α=0.73 and ICC=0.87). These dimensions were: Conflict, Power, Mutual Dependence during decision-making, Mutual Dependence in the decision outcome, Information Certainty: System to Human, Information Certainty: Human to System, and Future Interdependence. The mean impact score, content validity ratio (CVR), and content validity index (CVI) were 3.77, 0.88, and 0.95, respectively.
Conclusion: The Persian version of the Human-Machine Interaction and Interdependence Questionnaire demonstrated acceptable validity and reliability, and its multidimensional structure effectively reflects the dimensions of the mutual interdependence theory. It indicates the developed tool can serve as a valid instrument for assessing the interaction and cooperation between drivers and smart vehicles in future studies.
Keywords: Human, Interaction and Interdependence, Questionnaire, Reliability, Smart Vehicle, Validity
Type of Study: Research Article |
Subject:
Ergonomics
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
Articles Copyright © The Author(s).
Owned by Hamadan University of Medical Sciences.
Published by UMSHA Press
Journal Tel: +9881 38380090
Publisher Tel: +988138380548
Website: http://johe.umsha.ac.ir
Email: johe[at]umsha.ac.ir
