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相关论文: Multi-Task Trust Transfer for Human-Robot Interact…

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The recent revolution of intelligent systems made it possible for robots and autonomous systems to work alongside humans, collaborating with them and supporting them in many domains. It is undeniable that this interaction can have huge…

机器人学 · 计算机科学 2020-11-03 Basel Alhaji , Andreas Rausch , Michael Prilla

Human-robot teams have the ability to perform better across various tasks than human-only and robot-only teams. However, such improvements cannot be realized without proper task allocation. Trust is an important factor in teaming…

机器人学 · 计算机科学 2021-10-12 Arsha Ali , Hebert Azevedo-Sa , Dawn M. Tilbury , Lionel P. Robert

We introduce a novel capabilities-based bi-directional multi-task trust model that can be used for trust prediction from either a human or a robotic trustor agent. Tasks are represented in terms of their capability requirements, while…

机器人学 · 计算机科学 2021-06-07 Hebert Azevedo-Sa , X. Jessie Yang , Lionel P. Robert , Dawn M. Tilbury

Trust between team members is an essential requirement for any successful cooperation. Thus, engendering and maintaining the fellow team members' trust becomes a central responsibility for any member trying to not only successfully…

人工智能 · 计算机科学 2023-03-07 Zahra Zahedi , Mudit Verma , Sarath Sreedharan , Subbarao Kambhampati

To interact seamlessly with robots, users must infer the causes of a robot's behavior and be confident about that inference. Hence, trust is a necessary condition for human-robot collaboration (HRC). Despite its crucial role, it is largely…

机器人学 · 计算机科学 2021-04-23 Felix Schoeller , Mark Miller , Roy Salomon , Karl J. Friston

Shared autonomy functions as a flexible framework that empowers robots to operate across a spectrum of autonomy levels, allowing for efficient task execution with minimal human oversight. However, humans might be intimidated by the…

机器人学 · 计算机科学 2025-12-01 Yingke Li , Fumin Zhang

As the autonomy and capabilities of robotic systems increase, they are expected to play the role of teammates rather than tools and interact with human collaborators in a more realistic manner, creating a more human-like relationship. Given…

机器人学 · 计算机科学 2020-11-11 Zahra Rezaei Khavas , Reza Ahmadzadeh , Paul Robinette

Human trust in social robots is a complex attitude based on cognitive and emotional evaluations, as well as a behavior, like task delegation. While previous research explored the features of robots that influence overall trust attitude, it…

人机交互 · 计算机科学 2025-03-31 Filippo Cantucci , Marco Marini , Rino Falcone

Trust is essential in human-robot collaboration, particularly in multi-human, multi-robot (MH-MR) teams, where it plays a crucial role in maintaining team cohesion in complex operational environments. Despite its importance, trust is rarely…

机器人学 · 计算机科学 2025-03-11 Ike Obi , Ruiqi Wang , Wonse Jo , Byung-Cheol Min

In this paper, we present results from a human-subject study designed to explore two facets of human mental models of robots---inferred capability and intention---and their relationship to overall trust and eventual decisions. In…

人机交互 · 计算机科学 2019-09-13 Yaqi Xie , Indu P Bodala , Desmond C. Ong , David Hsu , Harold Soh

Human trust research uncovered important catalysts for trust building between interaction partners such as appearance or cognitive factors. The introduction of robots into social interactions calls for a reevaluation of these findings and…

机器人学 · 计算机科学 2023-11-15 Anna L. Lange , Murat Kirtay , Verena V. Hafner

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 one human agent interacts with one robot. There is little, if…

机器人学 · 计算机科学 2023-01-27 Yaohui Guo , X. Jessie Yang , Cong Shi

In socially assistive robotics, an important research area is the development of adaptation techniques and their effect on human-robot interaction. We present a meta-learning based policy gradient method for addressing the problem of…

机器人学 · 计算机科学 2019-08-13 Yuan Gao , Elena Sibirtseva , Ginevra Castellano , Danica Kragic

As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should we think about trust in relationships that involve both…

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 one human agent interacts with one robot. There is little, if…

机器人学 · 计算机科学 2024-07-17 Yaohui Guo , X. Jessie Yang , Cong Shi

Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past two decades. The majority of prior literature adopted a "snapshot" view of trust and typically evaluated trust through…

人机交互 · 计算机科学 2020-10-02 Yaohui Guo , X. Jessie Yang

Trust in robots is widely believed to be imperative for the adoption of robots into people's daily lives. It is, therefore, understandable that the literature of the last few decades focuses on measuring how much people trust robots -- and…

机器人学 · 计算机科学 2023-11-22 Patrick Holthaus , Alessandra Rossi

Human-Robot Interaction, in which a robot with some level of autonomy interacts with a human to achieve a specific goal has seen much recent progress. With the introduction of autonomous robots and the possibility of widespread use of those…

机器人学 · 计算机科学 2022-07-01 Maitry Ronakbhai Trivedi , Zahra Rezaei Khavas , Paul Robinette

Integrating robots into teams of humans is anticipated to bring significant capability improvements for tasks such as searching potentially hazardous buildings. Trust between humans and robots is recognized as a key enabler for human-robot…

Trust is one of the hallmarks of human-human and human-robot interaction. Extensive evidence has shown that trust among humans requires reciprocity. Conversely, research in human-robot interaction (HRI) has mostly relied on a unidirectional…

机器人学 · 计算机科学 2021-10-19 Joshua Zonca , Alessandra Sciutti
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