The Role of Perceived Moral Agency of a Humanoid Robot on the Willingness to Self-Disclose, Trustworthiness, Goodwill, and Liking
This academic paper investigates the causal influence of a robot's moral versus immoral behavior across four experiments involving text or video vignettes. The authors explore how moral transgressions such as cheating or physical harm impact the robot's perceived trustworthiness, goodwill, likeability, and the human's willingness to self-disclose. Results indicate that immoral robot behavior consistently leads to reduced perceived trustworthiness and goodwill, while effects on likeability and self-disclosure vary by severity and presentation medium.
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Who issued it
Who it governs
Researchers and developers in human-robot interaction studying user trust, social norms, and psychological responses to robot behavior.
What the document contains
The paper investigates the effects of moral versus immoral robot behavior on human psychological evaluations, including trustworthiness, goodwill, likeability, mind perception, and willingness to self-disclose.
The text does not provide regulatory compliance frameworks, legal standards, or technical implementation guidelines for programming robot morality.
- Immoral robot behavior consistently leads to lower perceived trustworthiness and goodwill across different experimental designs.
- A robot's moral behavior has a reliable effect on its likeability when transgressions are clearly perceived.
- Willingness to self-disclose toward a robot is typically not affected by minor transgressions like cheating, but can be reduced by severe physical harm shown via video vignettes.
- Mind perception and consciousness ratings of robots are generally unaffected by their moral actions, unlike human agents.
- Likeability fully mediates the relationship between perceived morality and the willingness to self-disclose for both robots and humans.
1. Introduction 2. Experiment 1 3. Experiment 2 4. Experiment 3 5. Experiment 4 6. General Discussion
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
N/A
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
N/A
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
N/A
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
N/A
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
N/A
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
N/A
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
N/A
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
N/A
screening score · 2026-10-24