As home service robots become increasingly integrated into domestic environments, trust in Human–Robot Interaction (HRI) emerges as a critical factor influencing their acceptance and effectiveness. This article presents survey review aiming to provide an understanding and insights into trust in HRI, particularly in home service robots. By analyzing existing studies, we explore the definition of trust and dimensions in different disciplinary perspectives, influencing factors, and assessment methodologies of trust in HRI. We also explore the dynamic nature of trust, highlighting the roles of robot reliability, transparency, predictability, and social interaction in shaping user perceptions. Furthermore, we present existing trust measurement approaches, including self-report questionnaires, behavioral and physiological metrics, and multimodal assessments, while identifying gaps in standardization and real-time evaluation. Ethical considerations, cultural influences, and the long-term evolution of trust in home service robots are also discussed. By synthesizing insights from interdisciplinary research, this article aims to provide insights that will benefit both the academic and research communities, as well as practical applications, and to inform future studies and guide the development of trustworthy, adaptive and user-centered home service robots that seamlessly integrate into daily life.

This paper proposes to model the dynamic management of dialogue in human-machine cooperation. It seeks to articulate a generic model of human-machine cooperation, based on two complementary abilities of agents (the Know-How-to-Operate and the Know-How-to-Cooperate), with 2 prominent models of agent transparency (SAT and HRT model). Modeling is applied to a specific Human-Machine Cooperation, a cyber-physical system assisting a human for planning decisions of maintenance operations. Dialogue management mechanisms filter the information displayed on the interface, from the agent's analysis of the supervised process to the team's performance and cooperation activities. This dynamic dialogue management contributes to the calibration of trust and optimisation of cooperation.

This article deals with how a human operator follows a request made by a robot in an industrial context. This robot is potentially myopic, i.e., its request could be based on partial and limited information. Therefore, it could possibly be faulty. This exploratory study aims to analyze whether multidimensional agenttransparencymay have an effect on two drivers of compliance identified in the literature: trust in signal and risk perception. In this experiment, we manipulated different agent transparency levels combined with two dimensions of agent transparency: robot-TO-human transparency (rTOh) and robot-OF-human transparency (rOFh). Results mainly show that adding rOFh to rTOh transparency changes human compliance with the agent and moderates both trust and risk perception. Moreover, task performance and completion time are shown to vary according to the different transparency levels. Our results show that transparency has no effect on mental workload. From a methodological perspective, this article shows the importance of distinguishing the different types of information about which a robot can be transparent, especially the combination of rTOh and rOFh transparencies. From a practical point of view, the article shows that the agent transparency framework needs to be considered carefully when designing human-robot teaming in the context of Industry 4.0 in the case of robots that may be unreliable due to their myopia.

International audience

To improve the design of reconfigurable sociotechnical systems, it is necessary to ensure that the control/ monitoring system meets the end-user needs and requirements, as early as possible in the project. Simulation techniques help conduct functional/behavioral checks from early design stages. However, this involves modeling the requirements in context, according to the sociotechnical and reconfigurable features of the system. Therefore, we propose a multi-level requirements modeling and discuss its use, in the case of the design of a ship auxiliary fluid management system.