Cited by 264Human-Automation Interaction and SafetySocial Robot Interaction and HRIRisk and Safety Analysis

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The effects of errors on system trust, self-confidence, and the allocation of control in route planning

de Vries, Peter, Midden, Cees, Bouwhuis, Don·2003·International Journal of Human-Computer Studies

DOI 10.1016/s1071-5819(03)00039-9

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The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Foundations of social theory
Riggins, F. J., & Mitra, S. (1990) · Choice Reviews Online · doi:10.5860/choice.27-6637 · Cited by 16,590
Humans and automation: Use, misuse, disuse, abuse
Parasuraman, R., & Riley, V. (1997) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778543886 · Cited by 4,554
Untitled work
(1973) · Medical Entomology and Zoology · Cited by 2,836
The Logic and Limits of Trust
Barber, B. (1983) · DigitalGeorgetown (Georgetown University Library) · Cited by 1,800
Visualizing a discipline: An author co-citation analysis of information science, 1972–1995
White, H. D., & McCain, K. W. (1998) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(19980401)49:4 · Cited by 1,527
Trust, control strategies and allocation of function in human-machine systems
LEE, J., & MORAY, N. (1992) · Ergonomics · doi:10.1080/00140139208967392 · Cited by 1,459
Trust, self-confidence, and operators' adaptation to automation
Lee, J. D., & Moray, N. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1007 · Cited by 932
Trust between humans and machines, and the design of decision aids
Muir, B. M. (1987) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(87)80013-5 · Cited by 808
In the Age of the Smart Machine: The Future of Work and Power
Zuboff, S. (1989) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2073307 · Cited by 410

Show all 23 references

Research works printed but not linked: 2

Arion, M., Numan, J.H., Pitariu, H., Jorna, R., 1994. Placing trust in human–computer interaction. In: Proceedings of the Seventh European Conference on Cognitive Ergonomics (ECCE 7), pp. 353–365.
Muir, B.M., 1989. Operators’ trust in and use of automatic controllers in a supervisory process control task. Doctoral Thesis, University of Toronto, Canada.

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Authors: de Vries, P., Midden, C., & Bouwhuis, D.
Affiliations: Eindhoven University of Technology (NL)
Venue: International Journal of Human-Computer Studies
Publisher: Elsevier BV
Published: 2003-06
Volume: 58
Issue: 6
Pages: 719-735
ISSN: 1071-5819 (ISSN-L)
DOI: 10.1016/s1071-5819(03)00039-9
OpenAlex: W2062672584
Cited by: 264
References: 23
Citations by year: 2026: 9 · 2025: 17 · 2024: 21 · 2023: 16 · 2022: 19 · 2021: 18 · 2020: 28 · 2019: 18 · 2018: 9 · 2017: 13 · 2016: 11 · 2015: 6 · 2014: 13 · 2013: 8 · 2012: 8
FWCI: 6.03
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Human-Computer Studies (publishedVersion)
TU/e Research Portal (publishedVersion)
TU/e Research Portal (submittedVersion)
Topics: Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Risk and Safety Analysis
Keywords: trust in automation, system trust, self-confidence, control allocation, route planning, human-automation interaction, uncertainty, mode choice

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