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Trust Mediating Reliability-Reliance Relationship in Supervisory Control of Human-Swarm Interactions
Aya Hussein1, Sondoss Elsawah1, Hussein A Abbass1
1155101 University of New South Wales, Canberra, Australian Capital Territory, Australia.
Human Factors
|October 9, 2019
Summary
This study confirms that trust mediates human reliance on automation. Calibrating trust is key for appropriate reliance on automated systems like unmanned aerial vehicles.
Area of Science:
- Human-Computer Interaction
- Automation and Control Systems
- Cognitive Psychology
Background:
- Human trust in automation is theoretically proposed to mediate the relationship between automation reliability and reliance.
- Experimental evidence regarding trust's mediating role is contradictory, necessitating further investigation.
- Understanding trust's role is crucial for effective human-automation interaction.
Purpose of the Study:
- To experimentally test the theory that trust mediates the relationship between automation reliability and human reliance.
- To investigate how automation reliability influences human trust and subsequent reliance behaviors.
- To clarify the role of trust in the context of unmanned aerial vehicle (UAV) swarm operations.
Main Methods:
- Thirty-two participants supervised a UAV swarm performing foraging missions.
- Automation reliability (UAV swarm recommendations) was manipulated.
- Participant trust and behavioral responses (reliance) were measured.
Main Results:
- A significant mediation role of trust was found between swarm reliability and reliance rate.
- Increased swarm reliability led to more correct acceptances but fewer correct rejections.
- Automation reliability did not significantly affect response time.
Conclusions:
- Trust is a significant predictor of human reliance on automation, not merely a consequence of interaction.
- The mediating role of trust underscores the importance of trust calibration for appropriate automation reliance.
- Findings support the need for precise trust calibration in swarm automation systems.
Keywords:
design of experimentsforaginghuman–automation interactionhuman–swarm interactionrecommender systemswithin-subject mediation analysisMore Related Videos
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