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As robots become more integrated into society, detecting robot errors is essential for effective human-robot interaction (HRI). When a robot fails repeatedly, how can it know when to change its behavior? Humans naturally respond to robot…

机器人学 · 计算机科学 2025-10-13 Shannon Liu , Maria Teresa Parreira , Wendy Ju

In human-robot collaboration, robot errors are inevitable -- damaging user trust, willingness to work together, and task performance. Prior work has shown that people naturally respond to robot errors socially and that in social…

机器人学 · 计算机科学 2022-08-02 Maia Stiber , Russell Taylor , Chien-Ming Huang

Effective error detection is crucial to prevent task disruption and maintain user trust. Traditional methods often rely on task-specific models or user reporting, which can be inflexible or slow. Recent research suggests social signals,…

机器人学 · 计算机科学 2025-01-14 Maia Stiber , Russell Taylor , Chien-Ming Huang

In the real world, robots frequently make errors, yet little is known about people's social responses to errors outside of lab settings. Prior work has shown that social signals are reliable and useful for error management in constrained…

机器人学 · 计算机科学 2026-02-06 Maia Stiber , Sameer Khan , Russell Taylor , Chien-Ming Huang

As robots become increasingly integrated into various industries, understanding how humans respond to robotic failures is critical. This study systematically examines trust dynamics and system design by analyzing human reactions to robot…

机器人学 · 计算机科学 2025-05-08 Ponkoj Chandra Shill , Md. Azizul Hakim

The human-robot interaction (HRI) field has recognized the importance of enabling robots to interact with teams. Human teams rely on effective communication for successful collaboration in time-sensitive environments. Robots can play a role…

人机交互 · 计算机科学 2025-11-13 Tauhid Tanjim , Jonathan St. George , Kevin Ching , Angelique Taylor

This paper presents an overview of robot failure detection work from HRI and adjacent fields using failures as an opportunity to examine robot explanation behaviours. As humanoid robots remain experimental tools in the early 2020s,…

人机交互 · 计算机科学 2023-07-11 Dimosthenis Kontogiorgos

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…

机器人学 · 计算机科学 2021-08-20 Alessandra Rossi , Patrick Holthaus , Sílvia Moros , Marcus Scheunemann , Gabriella Lakatos

The Human-Robot Interaction (HRI) community often highlights the social context of an interaction as a key consideration when designing, implementing, and evaluating robot behavior. Unfortunately, researchers use the term "social context"…

机器人学 · 计算机科学 2025-08-20 Sydney Thompson , Kate Candon , Marynel Vázquez

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…

机器人学 · 计算机科学 2021-10-22 Jason R. Wilson , Phyo Thuta Aung , Isabelle Boucher

As robots become increasingly prevalent in work-oriented collaborations, trust has emerged as a critical factor in their acceptance and effectiveness. However, trust is dynamic and can erode when mistakes are made. Despite emerging research…

机器人学 · 计算机科学 2023-07-25 Connor Esterwood

For social robots to be brought more into widespread use in the fields of companionship, care taking and domestic help, they must be capable of demonstrating social intelligence. In order to be acceptable, they must exhibit…

人工智能 · 计算机科学 2018-11-02 Ankuj Arora , Humbert Fiorino , Damien Pellier , Sylvie Pesty

We humans are biased - and our robotic creations are biased, too. Bias is a natural phenomenon that drives our perceptions and behavior, including when it comes to socially expressive robots that have humanlike features. Recognizing that we…

机器人学 · 计算机科学 2024-12-18 Katie Seaborn

Despite the recent advancements in robotics and machine learning (ML), the deployment of autonomous robots in our everyday lives is still an open challenge. This is due to multiple reasons among which are their frequent mistakes, such as…

Group interactions are a natural part of our daily life, and as robots become more integrated into society, they must be able to socially interact with multiple people at the same time. However, group human-robot interaction (HRI) poses…

机器人学 · 计算机科学 2024-12-23 Massimiliano Nigro , Emmanuel Akinrintoyo , Nicole Salomons , Micol Spitale

Human-Robot-Interaction (HRI) research is typically built around the premise that the robot serves to assist a human in achieving a human-led goal or shared task. However, there are many circumstances during HRI in which a robot may need…

机器人学 · 计算机科学 2016-07-26 David Cameron , Ee Jing Loh , Adriel Chua , Emily Collins , Jonathan M. Aitken , James Law

This paper argues that conventional blame practices fall short of capturing the complexity of moral experiences, neglecting power dynamics and discriminatory social practices. It is evident that robots, embodying roles linked to specific…

人机交互 · 计算机科学 2025-10-03 Samantha Stedtler , Marianna Leventi

Robots that work close to humans need to understand and use social cues to act in a socially acceptable manner. Social cues are a form of communication (i.e., information flow) between people. In this paper, a framework is introduced to…

机器人学 · 计算机科学 2023-12-15 Haoyang Jiang , Elizabeth A. Croft , Michael G. Burke

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

How do humans recognize and rectify social missteps? We achieve social competence by looking around at our peers, decoding subtle cues from bystanders - a raised eyebrow, a laugh - to evaluate the environment and our actions. Robots,…

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