Paper Type

ERF

Abstract

This study investigates how perceptions of AI governance shape user trust in AI-based emotional support systems and how trust translates into continued use or resistance across countries. Integrating social cognition theory, institution-based trust, and post-adoption research, we develop a dual-pathway model linking cognitive trust to perceived usefulness and affective trust to perceived compassion. These value appraisals predict continued use and resistance as distinct post-adoption outcomes. Perceived AI governance strength moderates how trust converts into behavioral reliance. The model is examined through a comparative case study across EU, US, and China, using secondary data analyzed via pattern matching.

Paper Number

1243

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Aug 15th, 12:00 AM

Trusting to Continue or Resist: How AI Governance Shapes AI-Based Emotional Support Usages Across Countries

This study investigates how perceptions of AI governance shape user trust in AI-based emotional support systems and how trust translates into continued use or resistance across countries. Integrating social cognition theory, institution-based trust, and post-adoption research, we develop a dual-pathway model linking cognitive trust to perceived usefulness and affective trust to perceived compassion. These value appraisals predict continued use and resistance as distinct post-adoption outcomes. Perceived AI governance strength moderates how trust converts into behavioral reliance. The model is examined through a comparative case study across EU, US, and China, using secondary data analyzed via pattern matching.