Supporting Informed Consent in Human-Machine Collaboration: The Role of Conflict Type, Time Pressure, and Display Design
Abstract
This study examined factors affecting the effectiveness of human-machine coordination under a management-by-consent approach where the automation cannot act without explicit operator consent. The context for this study was a proposed aviation system for digital air-ground communication, data link, which may allow system goals to be automatically translated and transferred (“gated”) to other automated cockpit systems. Gating, conflict type, time pressure, and display design were manipulated within a set of simulated flight scenarios which required airline pilots to detect the presence of potential conflicts inherent in the clearance or its implementation. Conflict detection, and thus the operator's ability to provide informed consent, was influenced primarily by conflict type, time pressure, and gating. It was particularly poor for conflicts arising from the implementation methods chosen by automated systems, especially when these systems did more than expected. These results suggest that automated systems need to play a more active role in coordination by providing operators with feedback on their interpretation of commands and their strategies for executing operator instructions.
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Recent studies found that use of a lower level of automation of action selection (entering data-linked flight information into the flight management computer) allowed for more errors of decision making automation to be caught than a higher level in which data entry was accomplished by pressing a single 'accept' button.
“Use of a lower level of automation of action selection-in entering data-linked flight information into the flight management computer-allowed for more errors of decision making automation to be caught, than a higher level, in which data entry was accomplished by pressing a single 'accept' button.”
From A model for types and levels of human interaction with automation (2000) · cites this paper as [30]
Cites
An Introduction to Categorical Data Analysis
Musiol, G. (1997) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(97)84760-3 · Cited by 1,981 · see citing works
What is coordination theory and how can it help design cooperative work systems?
Malone, T. W., & Crowston, K. (1990) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/99332.99367 · Cited by 875 · see citing works
Aviation Automation: The Search for A Human-centered Approach
Billings, C. E. (1996) · Medical Entomology and Zoology · Cited by 850 · see citing works
The Proximity Compatibility Principle: Its Psychological Foundation and Relevance to Display Design
Wickens, C. D., & Carswell, C. M. (1995) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872095779049408 · Cited by 657 · see citing works
Handbook of human factors and ergonomics
Stanton, N. A. (2021) · Ergonomics · doi:10.1080/00140139.2021.2005272 · Cited by 426 · see citing works
Sarter, N. B., & Woods, D. D. (1997) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778667997 · Cited by 209 · see citing works
Self-citationJudgment and Decision Making Under Time Pressure
Edland, A., & Svenson, O. (1993) · Springer eBooks · doi:10.1007/978-1-4757-6846-6_2 · Cited by 190 · see citing works
Johnson, E. J., Payne, J. W., & Bettman, J. R. (1993) · Springer eBooks · doi:10.1007/978-1-4757-6846-6_7 · Cited by 43 · see citing works
Olson, W. A., & Sarter, N. B. (2002) · Annual Symposium on Human Interaction with Complex Systems (HICS) · doi:10.1109/huics.1998.659955 · Cited by 14 · see citing works
Self-citationFlight Tests Using Data Link for Air Traffic Control and Weather Information Exchange
Knox, C. E., & Scanlon, C. H. (1990) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/901888 · Cited by 13 · see citing works
Data link air traffic control and flight deck environments: Experiment in flight crew performance
Lozito, S., McGann, A., & Corker, K. (1993) · NASA Technical Reports Server (NASA) · Cited by 13 · see citing works
Flight Deck Benefits of Integrated Data Link Communication
Marvin, C. W. (1992) · NASA Technical Reports Server (NASA) · Cited by 11 · see citing works
Hahn, E., & Hansman, R. J. (1992) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/922022 · Cited by 9 · see citing works
Non-Optimality in the Diagnosis of Dynamic System States
Barnett, B. J., & Wickens, C. D. (1988) · Cited by 5 · see citing works
An examination of data link autoload and message length
Logsdon, E. W. (1996) · doi:10.31979/etd.avk9-wjby · Cited by 4 · see citing works
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A model for types and levels of human interaction with automation
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.844354 · Cited by 4,195 · see citing works
From Here to Autonomy: Lessons Learned From Human–Automation Research
Endsley, M. R. (2017) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720816681350 · Cited by 898 · see citing works
Development of design principles for automated systems in transport control
Balfe, N., Wilson, J. R., Sharples, S. C., & Clarke, T. (2012) · Ergonomics · doi:10.1080/00140139.2011.636456 · Cited by 47 · see citing works
Quandt, R. P. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.941824 · Cited by 2 · see citing works
Intention when humans team with AI
Quandt, R. P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29246-0.00012-2
- Authors
- Olson, W. A., & Sarter, N. B.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- ORCID
- Sarter, Nadine B.
- Venue
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Publisher
- SAGE Publications
- Published
- 1999-09
- Volume
- 43
- Issue
- 3
- Pages
- 189-193
- ISSN
- 0163-5182 (ISSN-L)
- 1071-1813
- 2169-5067
- OpenAlex
- W2067076024
- Cited by
- 5
- References
- 15
- Citations by year
- 2025: 1 · 2022: 1 · 2016: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- informed consent, human-machine collaboration, conflict detection, conflict types, time pressure, display design, data link, cockpit automation, pilot-automation interaction
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