Effects of trust, self-confidence, and feedback on the use of decision automation
Open accessAbstract
Operators often fail to rely sufficiently on alarm systems. This results in a joint human-machine (JHM) sensitivity below the one of the alarm system. The 'confidence vs. trust hypothesis' assumes the use of the system depends on the weighting of both values. In case of higher confidence, the task is performed manually, if trust is higher, the user relies on the system. Thus, insufficient reliance may be due to operators' overconfidence in their own abilities and/or insufficient trust in the decision automation, but could be mitigated by providing feedback. That was investigated within a signal detection task, supported by a system with either higher sensitivity (HSS) or lower sensitivity (LSS) than the human, while being provided with feedback or not. We expected disuse of the LSS and insufficiently reliance on the HSS, in the condition without feedback. The feedback was expected to increase reliance on the HSS through an increase in trust and/or decreases in confidence, and thus, improve performance. Hypotheses were partly supported. Confidence in manual performance was similar to trust in the HSS even though humans' sensitivity was significantly lower than systems' sensitivity. While confidence had not effect on reliance or JHM sensitivity, trust was found to be positively related with both. We found disuse of the HSS, that could be improved through feedback, increasing also trust and JHM sensitivity. However, contrary to 'confidence vs. trust' expectations, participants were also found to make use of the LSS. This misuse could not be reduced by feedback. Results indicate the use of feedback being beneficial for the overall performance (with HSS only). Findings do not support the idea that misuse or disuse of the system may result from comparison of confidence and trust. We suppose it may rather be the product of users' wrong strategy of function allocation, based on the underlying idea of team work in combination with missing assignment of responsibility. We discuss this alternative explanation.
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Earlier studies have also shown tendencies toward underuse of algorithms.
“Earlier studies have also shown tendencies toward underuse of algorithms.25,26”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [25]
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“The frequent experience of false alarms can decrease the operators’ trust in alarm systems (e.g., Lee and See, 2004; Madhavan et al., 2006; Rice, 2009).”
BackgroundHumans and automation: Use, misuse, disuse, abuse
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“As tasks in these studies represent monitoring instead of quality control tasks and systems had very high reliabilities, they were rather focusing on misuse resulting from complacency (see Parasuraman and Manzey, 2010) than on disuse of alarm systems (Parasuraman and Riley, 1997).”
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“For example, Wiczorek and Meyer (2019) found that while confidence and trust are often correlated, only trust significantly predicted reliance behaviour, whereas confidence had no measurable effect.”
- Authors
- Wiczorek, R., & Meyer, J.
- Affiliations
- Technische Universität Berlin (DE)
- Tel Aviv University (IL)
- Corresponding author
- Wiczorek, Rebecca
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2019-03-12
- Volume
- 10
- Pages
- 519-519
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC6423180
- OpenAlex
- W2921390920
- Cited by
- 46
- References
- 5
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 9 · 2023: 4 · 2022: 4 · 2021: 2 · 2017: 1
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DepositOnce (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Technische Universität Berlin – Universitätsbibliothek (cc-by)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Risk and Safety Analysis
- Keywords
- automated decision-making, trust in automation, self-confidence, feedback, alarm system, reliance on automation, signal detection task, function allocation, responsibility assignment, human-machine teaming
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