Emotional Resonance and AI-Driven Consumer Behavior: A Hybrid Framework for Decision-Making in Digital Markets
Year: 2026
Type: article
Abstract: This study examines the evolving relationship between emotional perception and consumer behavior in AI-driven digital environments. While classical economic theories emphasize rational choice, contemporary interdisciplinary research highlights the critical role of emotional resonance in shaping consumer preferences, engagement, and decision-making processes. Building upon the Serezian Model (Serez, 2025a), alongside established research on emotional responses and perception (Juslin & Västfjäll, 2008; Cross, 2001), this paper proposes a hybrid framework integrating emotional triggers, algorithmic exposure, and cultural interpretation. The study argues that modern consumer behavior is increasingly influenced by emotionally aligned stimuli delivered through intelligent systems rather than purely rational evaluation. The findings contribute to a broader understanding of how artificial intelligence interacts with human perception to shape behavior in digital markets.
Author: Serez, Can
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140040825
FWCI:
Cites:
Cited by:
Related to: