Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction

@article{Natarajan2020EffectsOA,
  title={Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction},
  author={Manisha Natarajan and Matthew Craig Gombolay},
  journal={2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  year={2020},
  pages={33-42}
}
  • Manisha Natarajan, M. Gombolay
  • Published 6 March 2020
  • Computer Science
  • 2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
This paper examines how people’s trust and dependence on robot teammates providing decision support varies as a function of different attributes of the robot, such as perceived anthropomorphism, type of support provided by the robot, and its physical presence. We conduct a mixed-design user study with multiple robots to investigate trust, inappropriate reliance, and compliance measures in the context of a time-constrained game. We also examine how the effect of human accountability addresses… 

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References

SHOWING 1-10 OF 44 REFERENCES
The role of trust in human-robot interaction
TLDR
This chapter believes that, while significant progress has been made in recent years, especially in quantifying and modeling trust, there are still several places where more investigation is needed.
Would You Trust a (Faulty) Robot? Effects of Error, Task Type and Personality on Human-Robot Cooperation and Trust
TLDR
It is suggested that the nature of the task requested by the robot, e.g. whether its effects are revocable as opposed to irrevocable, has a significant impact on participants’ willingness to follow its instructions.
Do Robot Performance and Behavioral Style affect Human Trust?
TLDR
This paper uses animated robot avatars in VHRI to rapidly identify robot behavioral styles that affect human trust assessment of the robot, and reconfirms that a robot’s task performance influences its trustworthiness, but the effect of the behavioral style identified did not influence the robot‘s trustworthiness in the IVE study.
Evaluating Effects of User Experience and System Transparency on Trust in Automation
TLDR
It is found that trust of entirety evolves and eventually stabilizes as an operator repeatedly interacts with a technology, and a higher level of automation transparency may mitigate the “cry wolf’ effect.
Trust in socially assistive robots: Considerations for use in rehabilitation
Impact of robot failures and feedback on real-time trust
TLDR
An experiment showed trust loss due to early reliability drops is masked in traditional post-run measures, trust demonstrates inertia, and feedback alters allocation strategies independent of trust.
An uncanny game of trust: Social trustworthiness of robots inferred from subtle anthropomorphic facial cues
TLDR
This study quantitatively probed the impact of anthropomorphic robot appearance on human social interpretation of robot facial expression and employed game-theory research methods to measure the effect of subtle facial expressions in robots on human judgments of their trustworthiness as social counterparts.
Would You Trust a Robot Therapist? Validating the Equivalency of Trust in Human-Robot Healthcare Scenarios
TLDR
Examination of aspects of trust between humans and interactive robots during a therapy intervention in which the agent provides corrective feedback indicates that the deployment of interactive robot agents in healthcare scenarios has the potential to maintain quality of health for future generations.
Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System
TLDR
While no effect of embodiment is found for trust, the inclusion of preference elicitation features significantly increases user trust towards the robot recommender system, which has implications for marketing and health promotion in relation to Human-Robot Interaction.
...
...