Off-the-shelf conversational agents are permeating people's everyday lives. In these artificial
intelligence devices, trust plays a key role in users' initial adoption and successful utilization …

Abstract Purpose of Review To assess the state-of-the-art in research on trust in robots and
to examine if recent methodological advances can aid in the development of trustworthy …

How do mistakes made by a robot affect its trustworthiness and acceptance in human-robot
collaboration? We investigate how the perception of erroneous robot behavior may …

Adaptation is critical for effective team collaboration. This paper introduces a computational
formalism for mutual adaptation between a robot and a human in collaborative tasks. We …

In conditionally automated driving, drivers have difficulty taking over control when requested.
To address this challenge, we aimed to predict drivers' takeover performance before the …

To investigate the dynamics of human-robot acceptance, we carried out an experimental
study with 56 adult participants and the iCub robot. Trust in the robot has been considered …

Shared autonomy integrates user input with robot autonomy in order to control a robot and
help the user to complete a task. Our work aims to improve the performance of such a …

The issue of how to make embodied agents explainable has experienced a surge of interest
over the past 3 years, and there are many terms that refer to this concept, such as …

Over the recent years, computational trust and reputation models have become an
invaluable method to improve computer-computer and human-computer interaction. As a …

In positive human-human relationships, people frequently mirror or mimic each other's
behavior. This mimicry, also called entrainment, is associated with rapport and smoother …