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相关论文: On the causality between affective impact and coor…

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Affective touch offers positive psychological and physiological benefits such as the mitigation of stress and pain. If a robot could realize human-like affective touch, it would open up new application areas, including supporting care work.…

Tactile interaction plays an essential role in human-to-human interaction. People gain comfort and support from tactile interactions with others and touch is an important predictor for trust. While touch has been explored as a communicative…

机器人学 · 计算机科学 2024-11-20 Qiaoqiao Ren , Tony Belpaeme

Efficient action prediction is of central importance for the fluent workflow between humans and equally so for human-robot interaction. To achieve prediction, actions can be encoded by a series of events, where every event corresponds to a…

People deeply care about how fairly they are treated by robots. The established paradigm for probing fairness in Human-Robot Interaction (HRI) involves measuring the perception of the fairness of a robot at the conclusion of an interaction.…

机器人学 · 计算机科学 2024-09-13 Houston Claure , Kate Candon , Inyoung Shin , Marynel Vázquez

This paper describes an experimental evaluation aimed at detecting the users' perception of the robot's empathic abilities during a conversation. The results have been then analyzed to search for a possible relationship between the…

机器人学 · 计算机科学 2024-05-03 Alberto Lillo , Alessandro Saracco , Elena Siletto , Claudio Mattutino , Cristina Gena

This paper examines the effect of real-time, personalized alignment of a robot's reward function to the human's values on trust and team performance. We present and compare three distinct robot interaction strategies: a non-learner strategy…

机器人学 · 计算机科学 2023-11-28 Shreyas Bhat , Joseph B. Lyons , Cong Shi , X. Jessie Yang

Recent advancements in robotics have increased the possibilities for integrating robotic systems into human-involved workplaces, highlighting the need to examine and optimize human-robot coordination in collaborative settings. This study…

机器人学 · 计算机科学 2025-11-26 Róisín Keenan , Joost C. Dessing

Increasing anthropomorphic robot behavioral design could affect trust and cooperation positively. However, studies have shown contradicting results and suggest a task-dependent relationship between robots that display emotions and trust.…

In human-robot interaction (HRI), we study how humans interact with robots, but also the effects of robot behavior on human perception and well-being. Especially, the influence on humans by tandem robots with one human controlled and one…

机器人学 · 计算机科学 2025-01-30 Julian Kaduk , Friederike Weilbeer , Heiko Hamann

Tactile interaction plays a crucial role in interactions between people. Touch can, for example, help people calm down and lower physiological stress responses. Consequently, it is believed that tactile and haptic interaction matter also in…

机器人学 · 计算机科学 2022-11-03 Qiaoqiao Ren , Tony Belpaeme

This study investigated how wait time influences trust in and reliance on a robot. Experiment 1 was conducted as an online experiment manipulating the wait time for the task partner's action from 1 to 20 seconds and the anthropomorphism of…

机器人学 · 计算机科学 2023-02-17 Akihiro Maehigashi , Seiji Yamada

The paper reports an empirical study of the effect of human treatment of a robot on the social perception of the robot's behavior. The study employed an enacted interaction between an anthropomorphic "waiter" robot and two customers. The…

机器人学 · 计算机科学 2024-06-26 Victor Kaptelinin , Suna Bensch , Thomas Hellström , Patrik Björnfot , Shikhar Kumar

Affective interaction is not merely about recognizing emotions; it is an embodied, situated process shaped by context and co-created through interaction. In affective computing, the role of haptic feedback within dynamic emotional exchanges…

机器人学 · 计算机科学 2025-06-25 Qiaoqiao Ren , Tony Belpaeme

A single mobile service robot may generate hundreds of encounters with pedestrians, yet there is little published data on the factors influencing these incidental human-robot encounters. We report the results of a between-subjects…

机器人学 · 计算机科学 2023-11-09 Elliott Hauser , Yao-Cheng Chan , Ruchi Bhalani , Alekhya Kuchimanchi , Hanaa Siddiqui , Justin Hart

The increasing presence of robots alongside humans, such as in human-robot teams in manufacturing, gives rise to research questions about the kind of behaviors people prefer in their robot counterparts. We term actions that support…

机器人学 · 计算机科学 2020-05-05 Shray Bansal , Rhys Newbury , Wesley Chan , Akansel Cosgun , Aimee Allen , Dana Kulić , Tom Drummond , Charles Isbell

Strategies are necessary to mitigate the impact of unexpected behavior in collaborative robotics, and research to develop solutions is lacking. Our aim here was to explore the benefits of an affective interaction, as opposed to a more…

机器人学 · 计算机科学 2020-05-18 Adriana Hamacher , Nadia Bianchi-Berthouze , Anthony G. Pipe , Kerstin Eder

Recent developments in explainable artificial intelligence promise the potential to transform human-robot interaction: Explanations of robot decisions could affect user perceptions, justify their reliability, and increase trust. However,…

This paper investigates the specific scenario of high-intensity confrontations between humans and robots, to understand how robots can defuse the conflict. It focuses on the effectiveness of using five different affective expression…

机器人学 · 计算机科学 2025-08-08 Morten Roed Frederiksen , Kasper Støy

The increased interest in developing next-gen social robots has raised questions about the factors affecting the perception of robot emotions. This study investigates the impact of robot appearances (humanlike, mechanical) and face regions…

机器人学 · 计算机科学 2025-03-27 Chinmaya Mishra , Gabriel Skantze , Peter Hagoort , Rinus Verdonschot

Robots (and computers) are increasingly being used in scenarios where they interact socially with people. How people react to these agents is telling about the perceived animacy of such agents. Mistreatment of robots (or computers) by…

机器人学 · 计算机科学 2017-11-03 Zachary Carlson , Louise Lemmon , MacCallister Higgins , David Frank , David Feil-Seifer
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