Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction 2023
DOI: 10.1145/3568162.3576996
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Impacts of Robot Learning on User Attitude and Behavior

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Cited by 6 publications
(12 citation statements)
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“…-Personality: We measure five personality traits (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness) by using the Mini-IPIP, 20-item Likert scale [8]. -Robotic Prior Experience: We assess the participants' prior experience with robot through the robotics experience scale, 5-item Likert scale [18]. -Perceived Control: we measure the perceived control of participants over the robot by adapting a 3-item Likert scale from Delgosha et al [7].…”
Section: Methodsmentioning
confidence: 99%
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“…-Personality: We measure five personality traits (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness) by using the Mini-IPIP, 20-item Likert scale [8]. -Robotic Prior Experience: We assess the participants' prior experience with robot through the robotics experience scale, 5-item Likert scale [18]. -Perceived Control: we measure the perceived control of participants over the robot by adapting a 3-item Likert scale from Delgosha et al [7].…”
Section: Methodsmentioning
confidence: 99%
“…-Testing phase: After visioning the training video, participants proceed to watch a sequence of four videos, in which the robot's performance is assessed across diverse environments of the same nature as the assigned task. Similar to [18], we consider different trajectories in the testing trials, encompassing two successful, one ambiguous and one failure. In the ambiguous trajectory, the robot actions may not optimal but ultimately lead to success.…”
Section: Methodsmentioning
confidence: 99%
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