The Influence of a Robot Recommender System on Impulse Buying Tendency

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580171

Ching-Chih Tsao, Cheng-Yi Tang, Yu-Wen Chang, Y. Sung, S. Chien, Szu-Yin Lin

引用次数: 1

Abstract

The present study examines the influences of a robot recommender system on human impulse buying tendency in online e-commerce contexts. An empirical user study was conducted, where different marketing strategies (limited quantity vs. discount rate) were applied to the products and intimate designs were utilized for the robotic agent. An electroencephalogram (EEG) headset was used to capture users' brain activities, which allowed us to investigate participants' real-time cognitive perceptions toward different experimental conditions (i.e., marketing plans and robotic agents). Our preliminary results reveal that marketing strategies and robot recommender applications can trigger impulsive buying behavior and contribute to different cognitive activities.

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机器人推荐系统对冲动购买倾向的影响

本研究考察了机器人推荐系统对在线电子商务环境下人类冲动购买倾向的影响。对用户进行了实证研究，对产品采用了不同的营销策略(限量vs折扣率)，并对机器人代理采用了亲密设计。使用脑电图(EEG)耳机捕捉用户的大脑活动，这使我们能够调查参与者对不同实验条件(即营销计划和机器人代理)的实时认知感知。我们的初步研究结果表明，营销策略和机器人推荐应用程序可以触发冲动购买行为，并有助于不同的认知活动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.