首页 /研究 /Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration
HRI

Verbally Soliciting Human Feedback in Continuous Human-Robot Collaboration

Kate Candon, Helen Zhou, Sarah Gillet, Marynel Vázquez

发表年份
2023
引用次数
9
访问权限
开放获取

摘要

Humans expect robots to learn from their feedback and adapt to their preferences. However, there are limitations with how humans provide feedback to robots, e.g., humans may give less feedback as interactions progress. Therefore, it would be advantageous if robots could influence humans to provide more feedback during interactions. We conducted a 2x2 between-subjects user study (N=71) to investigate whether the framing and timing of a robot's reminder to provide feedback could influence human interactants. Human-robot interactions took place in the context of Space Invaders, a fast-paced and continuous collaborative environment. Our results suggest that reminders can influence the amount of feedback humans provide to robots, how participants feel about the robot, and how they feel about providing feedback during the interaction.

关键词

RobotHuman–computer interactionHuman–robot interactionComputer scienceContext (archaeology)Artificial intelligence

相关论文

查看 HRI 分类全部论文