Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process
Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process
复制标题
服务机器人决策支持过程主动性设计与评估
DOI：
10.1145/3290605.3300328
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Xiaojuan Ma
中科院分区：
文献类型：
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作者：
Zhenhui Peng;Yunhwan Kwon;J. Lu;Ziming Wu;Xiaojuan Ma
由于服务机器人有望在公共场所提供决策支持（DMS），因此设计机器人提供帮助的方式变得至关重要。例如，机器人店员主动或被动地提供产品推荐可能会影响顾客的购物体验。在本文中，我们提出了一个预期自主策略框架，该框架对 DMS 环境中服务机器人的三个主动性级别（高、中和低）进行建模。我们对 36 名参与者进行了一项受试者内实验，以评估 DMS 机器人的主动性对用户感知和交互行为的影响。结果表明，尽管人们可以从中获取丰富的信息，但高度主动的机器人被认为是不合适的。具有中等主动性的机器人有助于减少决策空间，同时保持用户的参与感。最不积极主动的机器人可以为用户提供更多控制权，但可能无法实现其全部功能。我们以服务机器人方式的设计考虑来结束本文。
As service robots are envisioned to provide decision-making support (DMS) in public places, it is becoming essential to design the robot's manner of offering assistance. For example, robot shop assistants that proactively or reactively give product recommendations may impact customers' shopping experience. In this paper, we propose an anticipation-autonomy policy framework that models three levels of proactivity (high, medium and low) of service robots in DMS contexts. We conduct a within-subject experiment with 36 participants to evaluate the effects of DMS robot's proactivity on user perceptions and interaction behaviors. Results show that a highly proactive robot is deemed inappropriate though people can get rich information from it. A robot with medium proactivity helps reduce the decision space while maintaining users' sense of engagement. The least proactive robot grants users more control but may not realize its full capability. We conclude the paper with design considerations for service robot's manner.
提问前和提问过程中演讲者目光的选择性功能——致力于开发博物馆导览机器人。
DOI：
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发表时间：
2010
期刊：
影响因子：
--
作者：
Y.Kobayashi.;T.Shibata.;Y.Hoshi.;Y.Kuno
通讯作者：
Y.Kuno