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The Influence of Performance Feedback on Trust and Self-Confidence in Dynamically Reliable Automation
Christopher Holland1, Heather F Neyedli1,2
1Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.
Performance feedback did not significantly alter human trust or self-confidence when interacting with automation. Automation trust and self-confidence remained stable despite fluctuating reliability, suggesting feedback may stabilize perceptions.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Automation and Robotics
Background:
- Trust and self-confidence are vital for effective human-automation collaboration.
- Understanding how performance feedback impacts these perceptions is crucial for system design.
- Dynamic automation reliability presents unique challenges for maintaining user trust.
Purpose of the Study:
- To investigate the influence of performance feedback on trust and self-confidence during human interaction with dynamically reliable automation.
- To determine if feedback moderates trust and self-confidence in response to reliability fluctuations.
- To explore potential implications for user complacency and overconfidence.
Main Methods:
- Eighty participants interacted with an automated assistant exhibiting variable reliability.
- Participants received performance feedback throughout the experimental tasks.
- Measures of trust and self-confidence were collected and analyzed.
Main Results:
- Trust and self-confidence demonstrated stability, showing minimal sensitivity to reliability changes or performance feedback.
- Performance feedback appeared to moderate variability in trust, leading to stabilized automation perceptions.
- Findings suggest a potential for complacency and overconfidence due to stable trust levels.
Conclusions:
- Performance feedback may stabilize human trust in automation, potentially leading to overreliance.
- Future research should focus on individual differences in trust calibration and situational awareness.
- Optimizing human-automation collaboration requires understanding the interplay between feedback, trust, and self-confidence in dynamic environments.
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