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Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems
Abstract
Today many systems are highly automated. The human operator's role in these systems is to supervise the automation and intervene to take manual control when necessary. The operator's choice of automatic or manual control has important consequences for system performance, and therefore it is important to understand and optimize this decision process. One important determinant of operators' choice of manual or automatic control may be their degree of trust in the automation. However, there have been no experimental tests of this hypothesis until recently, nor is there a model of human trust in machines to form a theoretical foundation for empirical studies. In this paper a model of human trust in machines is developed, taking models of trust between people as a starting point, and extending them to the human-machine relationship. The resulting model defines human trust in machines and specifies how trust changes with experience on a system, providing a framework for experimental research on trust and human intervention in automated systems.
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“Most of the studies investigated how to maintain appropriate trust calibration by continuously presenting system information to prevent over-trust or under-trust.”
From Adaptive trust calibration for human-AI collaboration (2020) · cites this paper as [2]
In the citing paper
“Successful collaborations between users and agents would require the users to appropriately adjust their level of trust with the actual reliability of the agents.”
From Adaptive trust calibration for human-AI collaboration (2020) · cites this paper as [2]
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“The idea that automation is trustworthy is implicit in supervisory control systems (Muir, 1994).”
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“So the results of false retaining might be serious than false interrupting [12].”
BackgroundDevelopment of an Integrated HMI-concept for Active Safety Systems
Lövsund, K. E., & Wiberg, A. J. (2007) · Chalmers Publication Library (Chalmers University of Technology)
Trust and Decision Making: An Empirical Platform (CCP 204)
Lyons, J. B., Stokes, C. K., Garcia, D., Adams, J., & Ames, D. (2008) · IEEE National Aerospace and Electronics Conference (NAECON) · doi:10.1109/naecon.2008.4806510
Shin, I. J. (2014) · Journal of the Korean Society of Safety · doi:10.14346/jkosos.2014.29.1.086
Verhaltenswirksamkeit von Likelihood Alarmsystemen
Wiczorek, R. (2012) · DepositOnce · doi:10.14279/depositonce-3452
“Sowohl die wahrgenommene Zuverlässigkeit, als auch die wahrgenommene Transparenz eines Systems sind Faktoren, die das Vertrauen von Operateuren in die verwendeten Systeme beeinflussen (z.B. Lee & Moray, 1992; Muir, 1994; Wiczorek, 2011).”
BackgroundUser-Centred Spoken Dialogue Management
Nothdurft, F., Ultes, S., & Minker, W. (2015) · Springer eBooks · doi:10.1007/978-3-319-23452-6_7
Limits of control in advanced technology and consequences for reassigning accountability
Grote, G. (2010) · Advances in human factors and ergonomics series · doi:10.1201/ebk1439834992-4
A Framework of Two Tiers to Enhance Trust in Recommender Systems
Noy, A., & Dan-Gur, Y. (2009) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230274235_5
How people interpret and react to everyday automation issues
Preusse, K. C. (2016) · SMARTech Repository (Georgia Institute of Technology)
Trösterer, S., Mirnig, A. G., Beck, E., & Tscheligi, M. (2013)
Metadata
- Authors
- MUIR, B. M.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- MUIR, BONNIE M.
- Venue
- Ergonomics
- Publisher
- Informa UK Limited
- Published
- 1994-11
- Volume
- 37
- Issue
- 11
- Pages
- 1905-1922
- ISSN
- 0014-0139 (ISSN-L)
- 1366-5847
- OpenAlex
- W2032426551
- Cited by
- 873
- References
- 49
- Citations by year
- 2026: 33 · 2025: 52 · 2024: 46 · 2023: 41 · 2022: 51 · 2021: 72 · 2020: 60 · 2019: 44 · 2018: 50 · 2017: 36 · 2016: 46 · 2015: 17 · 2014: 29 · 2013: 26 · 2012: 27
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ergonomics (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- trust in automation, human-machine trust, human intervention, manual control, automated systems, operator decision-making, trust model, human oversight
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