20,038 research outputs found

    Getting to know Pepper : Effects of people’s awareness of a robot’s capabilities on their trust in the robot

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    © 2018 Association for Computing MachineryThis work investigates how human awareness about a social robot’s capabilities is related to trusting this robot to handle different tasks. We present a user study that relates knowledge on different quality levels to participant’s ratings of trust. Secondary school pupils were asked to rate their trust in the robot after three types of exposures: a video demonstration, a live interaction, and a programming task. The study revealed that the pupils’ trust is positively affected across different domains after each session, indicating that human users trust a robot more the more awareness about the robot they have

    Understanding the construct of human trust in domestic service robots

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    Simple robots are already being deployed and adopted by some consumers for use at home. The robots currently in development for home use are far more sophisticated. However, it was not know the extent to which humans would trust them. The purpose of this study was to identify factors that influence trust in domestic service robots across a range of users with different capabilities and experience levels. Twelve younger adults (aged 18-28) and 24 older adults (12 low technology users and 12 high technology users) aged 65-75 participated in a structured interview, card-sorting task, and several questionnaires. Most participants had heard about or seen robots, but indicated they had little experience with them. However, most had positive opinions about robots and indicated they would trust a robot to assist with tasks in their homes, though it was dependent on the task. Before making a decision to trust a robot, participants wanted to know a lot of information about the robot such robot reliability, capabilities, and limitations. When asked to select their trust preference for human versus robot assistance for specific tasks, participants had preferences for both human and robot assistance, although it was dependent on the task. Many participants defined trust in robots similar to definitions of trust in automation (Ezer, 2008; Jian et al., 2000). Additionally, they had high rates of selection for adjectives used to describe trust in automation and also selected some adjectives used to describe trust in humans when asked to select characteristics they most associated with trustworthy and untrustworthy robots. Overall, there were some differences between age and technology experience groups, but there were far more similarities. By carefully considering user needs, robot designers can develop robots that have the potential to be adopted by a wide range of people.Ph.D

    Using Trust for Heterogeneous Human-Robot Team Task Allocation

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    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 relationships, and can be used in the task allocation strategy. Despite the importance, most existing task allocation strategies do not incorporate trust. This paper reviews select studies on trust and task allocation. We also summarize and discuss how a bi-directional trust model can be used for a task allocation strategy. The bi-directional trust model represents task requirements and agents by their capabilities, and can be used to predict trust for both existing and new tasks. Our task allocation approach uses predicted trust in the agent and expected total reward for task assignment. Finally, we present some directions for future work, including the incorporation of trust from the human and human capacity for task allocation, and a negotiation phase for resolving task disagreements.Army Research Lab under grant #F061352National Science FoundationPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/170403/1/Ali et al. 2021 AAAI 2020 Post.pdfDescription of Ali et al. 2021 AAAI 2020 Post.pdf : ArticleSEL

    Healthcare Robotics

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    Robots have the potential to be a game changer in healthcare: improving health and well-being, filling care gaps, supporting care givers, and aiding health care workers. However, before robots are able to be widely deployed, it is crucial that both the research and industrial communities work together to establish a strong evidence-base for healthcare robotics, and surmount likely adoption barriers. This article presents a broad contextualization of robots in healthcare by identifying key stakeholders, care settings, and tasks; reviewing recent advances in healthcare robotics; and outlining major challenges and opportunities to their adoption.Comment: 8 pages, Communications of the ACM, 201

    Video prototyping of dog-inspired non-verbal affective communication for an appearance constrained robot

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    Original article can be found at: http://ieeexplore.ieee.org “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”This paper presents results from a video human-robot interaction (VHRI) study in which participants viewed a video in which an appearance-constrained Pioneer robot used dog-inspired affective cues to communicate affinity and relationship with its owner and a guest using proxemics, body movement and orientation and camera orientation. The findings suggest that even with the limited modalities for non-verbal expression offered by a Pioneer robot, which does not have a dog-like appearance, these cues were effective for non-verbal affective communication
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