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Concerns and Values in Human-Robot Interactions: A Focus on Social Robotics
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Robots, as AI with physical instantiation, inhabit our social and physical world, where their actions have both social and physical consequences, posing challenges for researchers when designing social robots. This study starts with a scoping review to identify discussions and potential concerns arising from interactions with robotic systems in the context of healthcare, education, and private homes. Two focus groups of technology ethics experts then validated a comprehensive list of key topics and values in human-robot interaction (HRI) literature in these contexts. These insights were integrated into the HRI Value Compass web tool, to help HRI researchers identify these values in robot design. The tool was evaluated in a pilot study. This work benefits the HRI community by highlighting key concerns in human-robot interactions and providing an instrument to help researchers design robots that align with human values, ensuring future robotic systems adhere to these values in social applications.
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Cited by 1 Pith paper
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Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction
A neural behavior classifier trained on teleoperated joint trajectories is proposed and tested as an offline meta-evaluator for imitation learning policies in human-robot interaction.
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