Toward an Interaction-Centered Approach to Robot Trustworthiness

TL;DR

This paper proposes an interaction-centered framework emphasizing transparency and human awareness to enhance trustworthiness in robots, aiming for safer and more effective human-robot interactions.

Contribution

It introduces a novel interaction-based approach focusing on mutual understanding, transparency, and awareness to improve robot trustworthiness in HRI contexts.

Findings

Framework highlights importance of transparency and awareness

Identifies four key components for aligning perceived and actual robot capabilities

Emphasizes mutual understanding for safer human-robot interactions

Abstract

As robots get more integrated into human environments, fostering trustworthiness in embodied robotic agents becomes paramount for an effective and safe human-robot interaction (HRI). To achieve that, HRI applications must promote human trust that aligns with robot skills and avoid misplaced trust or overtrust, which can pose safety risks and ethical concerns. To achieve that, HRI applications must promote human trust that aligns with robot skills and avoid misplaced trust or overtrust, which can pose safety risks and ethical concerns. In this position paper, we outline an interaction-based framework for building trust through mutual understanding between humans and robots. We emphasize two main pillars: human awareness and transparency, referring to the robot ability to interpret human actions accurately and to clearly communicate its intentions and goals, respectively. By integrating these two pillars, robots can behave in a manner that aligns with human expectations and needs while providing their human partners with both comprehension and control over their actions. We also introduce four components that we think are important for bridging the gap between a human-perceived sense of trust and a robot true capabilities.