The Influence of a Robot Recommender System on Impulse Buying Tendency

Author:

Tsao Ching-Chih1ORCID,Tang Cheng-Yi1ORCID,Chang Yu-Wen1ORCID,Sung Yin-Hsuan1ORCID,Chien Shih-Yi1ORCID,Lin Szu-Yin2ORCID

Affiliation:

1. National Chengchi University, Taipei, Taiwan Roc

2. National Ilan University, Yilan, Taiwan Roc

Funder

Ministry of Science and Technology, Taiwan

Publisher

ACM

Reference13 articles.

1. C. Hsu A Machine Learning Approach to Model HRI Research Trends in 2010 2021," Proc . 2022 ACM/IEEE Int. Conf. Human-Robot Interact. , pp. 812 -- 815 , 2022. C. Hsu et al., "A Machine Learning Approach to Model HRI Research Trends in 2010 2021," Proc. 2022 ACM/IEEE Int. Conf. Human-Robot Interact., pp. 812--815, 2022.

2. "Global Social Robot Market " Research and Markets 2018. [Online]. Available: https://www.prnewswire.com/news-releases/global-social-robot-market-2018-2023-product-innovations-and-new-launches-will-intensify-competitiveness-300660127.html. "Global Social Robot Market " Research and Markets 2018. [Online]. Available: https://www.prnewswire.com/news-releases/global-social-robot-market-2018-2023-product-innovations-and-new-launches-will-intensify-competitiveness-300660127.html.

3. Impulse buying: Design practices and consumer needs;Moser C.;Conf. Hum. Factors Comput. Syst. - Proc., no. d,2019

4. Coping with guilt and shame in the impulse buying context

5. Normative Influences on Impulsive Buying Behavior

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1. Economic recommender systems – a systematic review;Electronic Commerce Research and Applications;2024-01

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