Failures in human-chatbot interactions are becoming inevitable such as failure of chatbots to
maintain contextual awareness. Thus, an effective service recovery strategy is essential for e …

In this work, we present Robots for Social Justice (R4SJ): a framework for an equitable
engineering practice of Human-Robot Interaction, grounded in the Engineering for Social …

Measurement of users' perception and visual behaviors to anthropomorphic design cues of
chatbots can improve our understanding of chatbots and potentially optimize chatbot design …

Social robots will inevitably confront social or moral norm violations. While researchers have
identified preliminary strategies for when and how robots should respond in such situations …

Purpose This paper aims to examine the relationships between anthropomorphic cues (ie
degrees of the humanized profile picture and naming) in artificial intelligence (AI) chatbots …

This review presents a framework for understanding how consumers respond to artificial
intelligence (AI) and related technologies, such as robots, algorithms, or chatbots. Drawing …

The proliferation of Large Language Models (LLMs) presents both a critical design
challenge and a remarkable opportunity for the field of Human–Robot Interaction (HRI) …

Language-capable robots require moral competence, including representations and
algorithms for moral reasoning and moral communication. We argue for an ethical pluralist …

For social robots to succeed in human environments, they must respond in effective yet
appropriate ways when humans violate social and moral norms, eg, when humans give …

Research has shown how the connections between robots' minds, bodies, and identities can
be configured and performed in a variety of ways. In this work, we consider group identity …