Assessing AI receptivity through a persuasion knowledge lens.

Journal: Current opinion in psychology
PMID: 38970936

Abstract

Understanding human-artificial intelligence (AI) interactions is a growing academic interest. This article conceptualizes AI as a persuasion agent and reviews the recent literature on AI through the lens of persuasion knowledge. It presents research on AI acceptance and aversion in terms of the properties of the AI itself (e.g., anthropomorphism, functionality, and usability), the properties of individuals interacting with AI (e.g., individual differences in judgments of AI, perceived uniqueness, and task performance), and the context of the interaction (e.g., type of decision, domain, and usage occasion). In assessing AI interaction research through this lens, we systematically categorize these findings and identify promising future research directions.

Authors

  • Jared Watson
    Department of Marketing, Leonard N. Stern School of Business, New York University, New York, NY, USA. Electronic address: jw5798@stern.nyu.edu.
  • Francesca Valsesia
    Department of Marketing, Michael G. Foster School of Business, University of Washington, Seattle, WA, USA.
  • Shoshana Segal
    Department of Marketing, Leonard N. Stern School of Business, New York University, New York, NY, USA.

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