ROAIHCJul 14, 2023

Rethinking Trust Repair in Human-Robot Interaction

arXiv:2307.11763v17 citationsh-index: 7
Originality Synthesis-oriented
AI Analysis

This research tackles trust repair for human-robot collaboration, but appears incremental as it builds on existing concepts and summarizes prior work.

The paper addresses the problem of repairing trust in human-robot interaction after trust violations occur, aiming to identify effective strategies and underlying mechanisms for designing robots capable of trust repair.

As robots become increasingly prevalent in work-oriented collaborations, trust has emerged as a critical factor in their acceptance and effectiveness. However, trust is dynamic and can erode when mistakes are made. Despite emerging research on trust repair in human-robot interaction, significant questions remain about identifying reliable approaches to restoring trust in robots after trust violations occur. To address this problem, my research aims to identify effective strategies for designing robots capable of trust repair in human-robot interaction (HRI) and to explore the underlying mechanisms that make these strategies successful. This paper provides an overview of the fundamental concepts and key components of the trust repair process in HRI, as well as a summary of my current published work in this area. Additionally, I discuss the research questions that will guide my future work and the potential contributions that this research could make to the field.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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