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題名 Human-Robot Interaction in E-Commerce: The Role of Personality Traits and Chatbot Mechanisms - A Neuromarketing Research
作者 簡士鎰
Chien, Shih-Yi;Chang, Yu-Wen;Chan, Yao-Cheng;Tsao, Ching-Chih
貢獻者 資管系
關鍵詞 Neuromarketing; human-robot interaction; Generative AI; personality traits; electroencephalogram (EEG)
日期 2024-03
上傳時間 3-Jun-2024 15:07:41 (UTC+8)
摘要 This paper explores the intersection of neuromarketing, e-commerce, and human-robot interaction by investigating the impact of personality traits on user satisfaction, purchase intention, and brainwave patterns across different chatbot models (rule-Based vs generative AI) and platforms (virtual chatbots vs humanoid robots). The study introduces Generative AI chatbots to e-commerce websites, comparing their effectiveness with rule-based chatbots. Additionally, physical robots are included as a reference group to assess the effects of virtual and physical robots in shopping assistance. The manipulation of three personality traits (introvert, ambivert, and extrovert) in both online and offline settings enriches the understanding of user behavior in diverse scenarios. Data collection involves EEG measurements, system logs, and surveys to capture subjective perceptions, unconscious reactions, and decision-making processes. Ultimately, the research seeks to provide valuable insights for the development of human-computer interaction design, contributing to the formulation of design guidelines adapted specifically for the e-commerce landscape.
關聯 ACM/IEEE International Conference on Human-Robot Interaction, ACM/IEEE, pp.312-316
資料類型 conference
DOI https://doi.org/10.1145/3610978.3640742
dc.contributor 資管系
dc.creator (作者) 簡士鎰
dc.creator (作者) Chien, Shih-Yi;Chang, Yu-Wen;Chan, Yao-Cheng;Tsao, Ching-Chih
dc.date (日期) 2024-03
dc.date.accessioned 3-Jun-2024 15:07:41 (UTC+8)-
dc.date.available 3-Jun-2024 15:07:41 (UTC+8)-
dc.date.issued (上傳時間) 3-Jun-2024 15:07:41 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/151597-
dc.description.abstract (摘要) This paper explores the intersection of neuromarketing, e-commerce, and human-robot interaction by investigating the impact of personality traits on user satisfaction, purchase intention, and brainwave patterns across different chatbot models (rule-Based vs generative AI) and platforms (virtual chatbots vs humanoid robots). The study introduces Generative AI chatbots to e-commerce websites, comparing their effectiveness with rule-based chatbots. Additionally, physical robots are included as a reference group to assess the effects of virtual and physical robots in shopping assistance. The manipulation of three personality traits (introvert, ambivert, and extrovert) in both online and offline settings enriches the understanding of user behavior in diverse scenarios. Data collection involves EEG measurements, system logs, and surveys to capture subjective perceptions, unconscious reactions, and decision-making processes. Ultimately, the research seeks to provide valuable insights for the development of human-computer interaction design, contributing to the formulation of design guidelines adapted specifically for the e-commerce landscape.
dc.format.extent 103 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) ACM/IEEE International Conference on Human-Robot Interaction, ACM/IEEE, pp.312-316
dc.subject (關鍵詞) Neuromarketing; human-robot interaction; Generative AI; personality traits; electroencephalogram (EEG)
dc.title (題名) Human-Robot Interaction in E-Commerce: The Role of Personality Traits and Chatbot Mechanisms - A Neuromarketing Research
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1145/3610978.3640742
dc.doi.uri (DOI) https://doi.org/10.1145/3610978.3640742