10 accepted papers
Advancements in physical Human-Robot Interaction (pHRI) aim to achieve natural and efficient collaboration between humans and robots, especially in dynamic environments where task performance is essential. This study focuses on co-manipulative human-robot joint activities, exploring key components o…
Integrating robotics into everyday scenarios like tutoring or physical training requires robots capable of adaptive, socially engaging, and goal-oriented interactions. While Large Language Models show promise in human-like communication, their standalone use is hindered by memory constraints and con
Advancements in physical Human-Robot Interaction (pHRI) aim to achieve natural and efficient collaboration between humans and robots, especially in dynamic environments where task performance is essential. This study focuses on co-manipulative human-robot joint activities, exploring key components o
In this paper, we investigated how shared experience-based counterfactual explanations affected people's performance and robots' persuasiveness during a decision-making task in a social HRI context. We used the Connect 4 game as a complex decision-making task where participants and the robot had to…
Implicit communication plays such a crucial role during social exchanges that it must be considered for a good experience in human-robot interaction. This work addresses implicit communication associated with the detection of physical properties, transport, and manipulation of objects. We propose an…
Recognizing human partners is an essential social skill for building personalized and long-term human-robot interactions. However, robots deployed in complex, real-world environments have to face several challenges, such as managing unstructured interactions with multiple users, limited computationa…
Trust is essential in human-robot interactions, and in times where machines are yet to be fully reliable, it is important to study how robotic hardware faults can affect the human counterpart. This experiment builds on a previous research that studied trust changes in a game-like scenario with the h
Newborn infants are naturally attracted to human faces, a crucial source of information for social interaction. In robotics, acquisition of such information is crucial and social robots should also learn to exhibit such social skill. Deep learning algorithms are valid candidates to address the probl…
Robots such as information security and overtrust in them are gaining increasing relevance. This research aims at giving an insight into how trust toward robots could be exploited for the purpose of social engineering. Drawing on Mitnick's model, a well-known social engineering framework, an interac
Robots are at the position to become our everyday companions in the near future. Still, many hurdles need to be cleared to achieve this goal. One of them is the fact that robots are still not able to perceive some important communication cues naturally used by humans, e.g. gaze. In the recent past,…