Ethical Deliberation in the Presence of Robots: Heterophenomenological Access to Sociality Experiences in Human-Robot Interaction
This academic chapter investigates how the presence of social robots influences human ethical deliberation and perspective-taking using heterophenomenological methods. Through a randomized study involving 158 participants across human, robot, and computer facilitation conditions, the authors found that robot-facilitated sessions prompted significantly more justifications involving mental role switching. The study introduces the theoretical construct of sociomorphing to explain unique aspects of human sociality experiences with robots.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers and scholars in human-robot interaction, ethics, and social cognitive sciences seeking empirical insights into human sociality with robots.
What the document contains
The chapter covers an empirical study examining how human ethical decision-making and perspective-taking are influenced by the presence of a social robot compared to humans or computers, utilizing mixed quantitative and qualitative methods.
The document does not provide regulatory frameworks, legal compliance guidelines, or binding governance rules for AI deployment.
- Heterophenomenological methods track human first-person experiences from an observer perspective within human-robot interaction.
- A randomized study of 158 participants compared ethical decision-making facilitated by humans, robots, or computers.
- The robot condition produced as many ethical decisions as the human condition but significantly more justifications involving mental role switching.
- The theoretical construct of sociomorphing describes unique aspects of human sociality experiences with robots.
· Abstract · Introduction and Background · Methodology and Study Design · Results · Discussion and Theoretical Construct of Sociomorphing · References
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
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-24