Clinical Report: Emotional Responses and Behavioral Interactions with AI
Overview
This study analyzes emotional responses to perceived AI presence in digital environments, revealing a strong association between AI perception and negative emotional expression.
Background
The integration of artificial intelligence (AI) in digital contexts has transformed user interactions, prompting significant emotional responses. This study contributes to the discourse on how AI perception influences emotional expression in online environments.
Data Highlights
The study analyzed 2,326,781 YouTube comments across 8,947 videos, focusing on six categories of AI perception.
Key Findings
AI perception was prevalent in user comments, correlating with negative emotional expression.
Comments with AI perception cues showed significantly higher levels of negative sentiment.
Robotic communication style and lack of authenticity were linked to the highest levels of negative emotional expression.
Trust-related and purchase-related discourse were rare and showed limited differentiation across AI perception conditions.
Emotional reactions are more visible than explicit behavioral responses.
Clinical Implications
The findings suggest that emotional expressions in response to AI may influence user engagement and perceptions of AI interactions. Understanding these emotional dynamics can inform the design of AI systems and their integration into mental health contexts.
Conclusion
This research underscores the importance of recognizing emotional responses to AI in digital environments, revealing significant patterns that could impact user experience and mental health interactions.
