Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI

ArXi:2605.31275v1 Announce Type: cross Artificial Intelligence (AI) agents personalize their responses by tailoring explanations to users' backgrounds, interests, and prior interactions, referred to as contextualization. Personalization has been identified as a persuasive strategy in politics or in marketing. However, the persuasive effect of contextualization in everyday tasks, where users often lack prior knowledge, remains unclear.