机器人
领域(数学)
服务(商务)
计算机科学
人机交互
产品(数学)
服务机器人
对话
社交机器人
机器人学
包裹体(矿物)
客户服务
人工智能
移动机器人
营销
机器人控制
心理学
业务
沟通
社会心理学
几何学
数学
纯数学
作者
Jun Baba,Sichao Song,Junya Nakanishi,Yuichiro Yoshikawa,Hiroshi Ishiguro
标识
DOI:10.1109/ro-man53752.2022.9900635
摘要
Social robotics recommendations have been studied for a long time, and many existing studies have addressed in-store recommendations using robots. However, it has been pointed out that many studies conducted in "in-the-wild" field environments have only focused on the initial stages of customer purchase behavior, such as stopping and engaging in a conversation, and few have been able to induce an interest in the product and even purchase. One of the causes is that the robot itself attracts most of the customer’s attention, making it difficult for customers to be interested in the robot’s recommendations. To solve this problem, this study examines the inclusion of clear and specific instructions to customers in interactions in which the robot recommends services and products. We conducted a field experiment to confirm the effectiveness of such instructive interactions, and found that customers are more likely to be interested in the content recommended by the robot, rather than in the robot itself, through the instructive interaction.
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