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Individual Differences in Attributes of Trust in Automation: Measurement and Application to System Design
1Department of Mechanical Engineering, Aeronautics, and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, United States.
Frontiers in Psychology
|June 11, 2019
Summary
Trust in advanced computer automation is crucial for effective human-system integration. This paper explores trust attributes, proposing a game model for user-automation interaction and reciprocal trust development.
Area of Science:
- Human-Computer Interaction
- Artificial Intelligence
- Systems Engineering
Background:
- Sophistication of computer-based automation across various sectors (industrial, medical, military) necessitates understanding operator trust.
- Operator trust is a critical determinant of effective automation utilization, driving research in human factors and human-systems integration.
- Existing research identifies numerous trust factors but lacks a consensual definition of trust in automation.
Purpose of the Study:
- To review and synthesize existing studies on trust in automation, focusing on its definition and influencing factors.
- To propose applying human morality-associated attributes to intelligent automation and explore reciprocal trust dynamics.
- To introduce a formal game model for user-automation interaction and suggest hypotheses for future empirical research.
Main Methods:
- Literature review of previous studies on trust in automation.
- Conceptual assertion of applying human moral attributes to advanced automation.
- Proposal of a formal game theory model to represent user-automation trust dynamics.
- Formulation of hypotheses for future research on individual differences in trust and automation design.
Main Results:
- Identified a lack of consensual definition for trust in automation.
- Proposed that attributes of human morality can be applied to intelligent automation.
- Suggested that automation can develop reciprocal trust in users, adapting its behavior.
- Introduced a game model for user-automation interaction based on utilities.
Conclusions:
- Trust in automation is a complex, multifaceted construct requiring further definition and empirical investigation.
- Applying human-like attributes to automation may enhance user trust and facilitate reciprocal trust development.
- A game-theoretic approach offers a framework for modeling and understanding adaptive trust dynamics between users and intelligent systems.
- Future research should focus on empirical testing of proposed hypotheses to refine automation design for optimal user trust.
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