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相关论文: Effects of Interfaces on Human-Robot Trust: Specif…

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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

We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the human. It is assumed that the behavior of the human and the…

机器人学 · 计算机科学 2023-09-12 Shreyas Bhat , Joseph B. Lyons , Cong Shi , X. Jessie Yang

There is invariably a trade-off between safety and efficiency for collaborative robots (cobots) in human-robot collaborations. Robots that interact minimally with humans can work with high speed and accuracy but cannot adapt to new tasks or…

机器人学 · 计算机科学 2022-10-13 Xiangjie Yan , Yongpeng Jiang , Chen Chen , Leiliang Gong , Ming Ge , Tao Zhang , Xiang Li

The 'intuitive' trust people feel when encountering robots in public spaces is a key determinant of their willingness to cooperate with these robots. We conducted four experiments to study this topic in the context of peacekeeping robots.…

机器人学 · 计算机科学 2022-05-20 Ohad Inbar , Joachim Meyer

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

Collaboration between humans and robots is becoming increasingly crucial in our daily life. In order to accomplish efficient cooperation, trust recognition is vital, empowering robots to predict human behaviors and make trust-aware…

人机交互 · 计算机科学 2024-03-11 Caiyue Xu , Changming Zhang , Yanmin Zhou , Zhipeng Wang , Ping Lu , Bin He

Mixed-initiative systems allow users to interactively provide feedback to potentially improve system performance. Human feedback can correct model errors and update model parameters to dynamically adapt to changing data. Additionally, many…

人机交互 · 计算机科学 2020-08-31 Donald R. Honeycutt , Mahsan Nourani , Eric D. Ragan

In human-robot collaborative interaction scenarios, nonverbal communication plays an important role. Both, signals sent by a human collaborator need to be identified and interpreted by the robotic system, and the signals sent by the robot…

Humans are constantly influenced by others' behavior and opinions. Of importance, social influence among humans is shaped by reciprocity: we follow more the advice of someone who has been taking into consideration our opinions. In the…

机器人学 · 计算机科学 2022-06-17 Joshua Zonca , Anna Folso , Alessandra Sciutti

Mind perception in robots has been an understudied construct in human-robot interaction (HRI) compared to similar concepts such as anthropomorphism and the intentional stance. In a series of three experiments, we identify two factors that…

机器人学 · 计算机科学 2020-04-17 Sebastian Wallkotter , Rebecca Stower , Arvid Kappas , Ginevra Castellano

Virtual borders are employed to allow humans the interactive and flexible restriction of their mobile robots' workspaces in human-centered environments, e.g. to exclude privacy zones from the workspace or to indicate certain areas for…

机器人学 · 计算机科学 2019-10-29 Dennis Sprute , Klaus Tönnies , Matthias König

Ensuring safety in human-robot interaction (HRI) is essential to foster user trust and enable the broader adoption of robotic systems. Traditional safety models primarily rely on sensor-based measures, such as relative distance and…

机器人学 · 计算机科学 2025-07-10 Pranav Pandey , Ramviyas Parasuraman , Prashant Doshi

Recent advances in the areas of human-robot interaction (HRI) and robot autonomy are changing the world. Today robots are used in a variety of applications. People and robots work together in human autonomous teams (HATs) to accomplish…

机器人学 · 计算机科学 2021-10-14 Russell Perkins , Zahra Rezaei Khavas , Paul Robinette

This review paper focuses on different aspects of perceived safety for a number of autonomous physical systems. This is a major aspect of robotics research, as more and more applications allow human and autonomous systems to share their…

机器人学 · 计算机科学 2021-06-01 Matteo Rubagotti , Inara Tusseyeva , Sara Baltabayeva , Danna Summers , Anara Sandygulova

With the rapid advancement of autonomous vehicle (AV) technology, AVs are progressively seen as interactive agents with some level of autonomy, as well as some context-dependent social features. This introduces new challenges and questions,…

人机交互 · 计算机科学 2025-03-21 Ana Tanevska , Katie Winkle , Ginevra Castellano

In this paper, we investigate how to design an effective interface for remote multi-human multi-robot interaction. While significant research exists on interfaces for individual human operators, little research exists for the multi-human…

机器人学 · 计算机科学 2021-02-05 Jayam Patel , Prajankya Sonar , Carlo Pinciroli

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…

For humans and robots to form an effective human-robot team (HRT) there must be sufficient trust between team members throughout a mission. We analyze data from an HRT experiment focused on trust dynamics in teams of one human and two…

As robots have become increasingly common in human-rich environments, it is critical that they are able to exhibit social cues to be perceived as a cooperative and socially-conformant team member. We investigate the effect of robot gaze…

机器人学 · 计算机科学 2023-06-27 Kerry He , Wesley P. Chan , Akansel Cosgun , Albin Joy , Elizabeth A. Croft

Human-robot collaboration including close physical human-robot interaction (pHRI) is a current trend in industry and also science. The safety guidelines prescribe two modes of safety: (i) power and force limitation and (ii) speed and…

机器人学 · 计算机科学 2018-05-21 Petr Švarný , Matěj Hoffmann