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Beyond code: Consumer response to chatbots.
Davis, Nicole; Jin, Jianna.
Afiliación
  • Davis N; Marketing at the Gatton College of Business and Economics, University of Kentucky, 550 S Limestone, Lexington, KY 40506, USA.
  • Jin J; Marketing at the Mendoza College of Business, University of Notre Dame, 204 Mendoza College of Business, Notre Dame, IN 46556, USA. Electronic address: jjin5@nd.edu.
Curr Opin Psychol ; 58: 101841, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38981369
ABSTRACT
Chatbots, a type of virtual AI entity designed to emulate human conversation, are gaining prominence in business and consumer domains. This research aims to consolidate extant literature focusing on a pivotal aspect the human-likeness of chatbots. Employing three fundamental themes as organizational pillars - chatbot as a non-human entity, chatbot as a human-like entity, and chatbot as an ambiguous agent - we aim to not only spotlight important findings but also chart out potential trajectories for future exploration. By delving into the intricacies of chatbot-consumer interaction, we seek to shed light on unexplored dimensions of marketing research, ultimately enhancing our understanding of this evolving field.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Idioma: En Revista: Curr Opin Psychol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial Idioma: En Revista: Curr Opin Psychol Año: 2024 Tipo del documento: Article