In cobotic service teams, employees and robots collaborate to serve customers. As cobotic
teams become more prevalent, a key question arises: How do consumers respond to cobotic …

Justification is an important facet of policy explanation, a process for describing the behavior
of an autonomous system. In human-robot collaboration, an autonomous agent can attempt …

Reinforcement learning (RL) has achieved tremendous success as a general framework for
learning how to make decisions. However, this success relies on the interactive hand-tuning …

Objective We use a set of unobtrusive measures to estimate subjectively reported trust,
mental workload, and situation awareness (henceforth “TWSA”). Background Subjective …

The rise in the service economy has been fueled by breakthroughs in technology,
globalization, and evolving consumer patterns. However, this sector faces various …

This paper presents a Runtime Verification (RV) approach for Multi-Agent Systems (MAS)
using the JaCaMo framework. Our objective is to bring a layer of security to the MAS. This is …

Trust has been identified as a central factor for effective human-robot teaming. Existing
literature on trust modeling predominantly focuses on dyadic human-autonomy teams where …

Collaborative robots that work alongside humans will experience service breakdowns and
make mistakes. These robotic failures can cause a degradation of trust between the robot …

With recent advances in robotics, it is expected that robots will become increasingly common
in human environments, such as in the home and workplaces. Robots will assist and …

In this paper, we present an integrated robotic system capable of participating in and
performing a wide range of educational and entertainment tasks collaborating with one or …