Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet
we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 …

Industry 5.0 utilizes the Internet of Things (IoT) and autonomous computing to facilitate
human–machine collaboration, where humans and machines coexist in a competitive …

The social acceptance of AI agents, including intelligent virtual agents and physical robots,
is becoming more important for the integration of AI into human society. Although the agents …

Organizations are facing the new challenge of integrating humans and robots into one
cohesive workforce. Relational demography theory (RDT) explains the impact of …

What explains the mixed evidence from laboratory tests of Kőszegi and Rabin's (2006 and
later) model of expectations-based reference-dependent preferences? We investigate one …

An individual's self-efficacy to interact with a robot has important implications around the
content, utility and success of the interaction. Individuals need to achieve a high level of self …

This project aims to motivate research in competitive human-robot interaction by creating a
robot competitor that can challenge human users in certain scenarios such as physical …

One way to improve the relationship between humans and anthropomorphic agents is to
have humans empathize with the agents. In this study, we focused on a task between agents …

While competitive games have been studied extensively in the AI community for
benchmarking purposes, there has only been limited discussion of human interaction with …

We present a study on analyzing worker perceptions of safety, autonomy, and job security in
collaborative environments where human co-workers and robots are expected to offer …