Uppsala University（乌普萨拉大学）；INESC-ID（INESC-ID（葡萄牙系统与计算机工程研究所））；Instituto Superior Técnico（高等技术学院）；Institute for Intelligent Systems and Robotics, CNRS UMR 7222（法国国家科学研究中心UMR 7222智能系统与机器人研究所）；Sorbonne Université（索邦大学）
Sebastian Wallkotter, Silvia Tulli, Ginevra Castellano, Ana Paiva, Mohamed Chetouani
The issue of how to make embodied agents explainable has experienced a surge of interest over the last three years, and, there are many terms that refer to this concept, e.g., transparency or legibility. One reason for this high variance in terminology is the unique array of social cues that embodied agents can access in contrast to that accessed by non-embodied agents. Another reason is that different authors use these terms in different ways. Hence, we review the existing literature on explainability and organize it by (1) providing an overview of existing definitions, (2) showing how explainability is implemented and how it exploits different social cues, and (3) showing how the impact of explainability is measured. Additionally, we present a list of open questions and challenges that highlight areas that require further investigation by the community. This provides the interested reader with an overview of the current state-of-the-art.
School of Mathematical and Computer Sciences（数学与计算机科学学院）；Heriot-Watt University（赫瑞-瓦特大学）
In this paper, we propose a minimum set of concepts and signals needed to track the social state during Human-Robot Interaction. We look into the problem of complex continuous interactions in a social context with multiple humans and robots, and discuss the creation of an explainable and tractable representation/model of their social interaction. We discuss these representations according to their representational and communicational properties, and organize them into four cognitive domains (scene-understanding, behaviour-profiling, mental-state, and dialogue-grounding).
It is important for socially assistive robots to be able to recognize when a user needs and wants help. Such robots need to be able to recognize human needs in a real-time manner so that they can provide timely assistance. We propose an architecture that uses social cues to determine when a robot should provide assistance. Based on a multimodal fusion approach upon eye gaze and language modalities, our architecture is trained and evaluated on data collected in a robot-assisted Lego building task. By focusing on social cues, our architecture has minimal dependencies on the specifics of a given …
This workshop aimed for a deeper exploration of trust and acceptance in human-robot interaction (HRI) from a multidisciplinary perspective including robots' capabilities of sensing and perceiving other agents, the environment, and human-robot dynamics. The workshop was held online in conjunction with IEEE RO-MAN 2021 (see https://ro-man2021.org/). Three invited speakers and six position papers analysed/discussed different aspects of human-robot interaction that can affect, enhance, undermine, or recover humans' trust in robots, such as the use of social cues or behaviour transparency. The atte…
Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features
Department of Applied Mathematics I, University of Seville（应用数学系，塞维利亚大学）；CNR-IEIIT Genoa, Italy（意大利热那亚CNR-IEIIT）；SUPSI, IDSIA Lugano, Switzerland（瑞士卢加诺SUPSI，IDSIA）
Institute of Psychology（心理研究所）；University of Chinese Academy of Sciences（中国科学院大学）；University of Hamburg（汉堡大学）
To enhance human-robot social interaction, it is essential for robots to process multiple social cues in a complex real-world environment. However, incongruency of input information across modalities is inevitable and could be challenging for robots to process. To tackle this challenge, our study adopted the neurorobotic paradigm of crossmodal conflict resolution to make a robot express human-like social attention. A behavioural experiment was conducted on 37 participants for the human study. We designed a round-table meeting scenario with three animated avatars to improve ecological validity.…
The Trust, Acceptance and Social Cues in Human-Robot Interaction - SCRITA is the 5th edition of a series of workshops held in conjunction with the IEEE RO-MAN conference. This workshop focuses on addressing the challenges and development of the dynamics between people and robots in order to foster short interactions and long-lasting relationships in different fields, from educational, service, collaborative, companion, care-home and medical robotics. In particular, we aimed in investigating how robots can manipulate (i.e. creating, improving, and recovering) people's ability of accepting and t…
