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CPAI 2026 : Cognitive and Psychological Impacts of AI Adoption

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Link: https://www.iaria.org/conferences2026/COGNITIVE26.html
 
When Apr 19, 2026 - Apr 23, 2026
Where Lisbon
Submission Deadline Feb 28, 2026
Notification Due Mar 20, 2026
Final Version Due Apr 2, 2026
Categories    llms   HCI
 

Call For Papers

This track addresses the cognitive and psychological impacts of AI adoption with specific emphasis on personality traits, affective processes, and ethical dimensions of human–AI interaction. It examines how AI-based systems influence emotional regulation, empathy, moral judgment, and value-oriented decision-making, particularly when systems exhibit adaptive, affective, or socially responsive behaviours. The track considers
affective agents not merely as interface elements, but as participants in socio-cognitive processes that may shape trust, reliance, self-perception, and interpersonal dynamics. Attention is given to how individual differences in personality, emotional sensitivity, and cognitive style mediate responses to AI-driven interaction.
Ethical considerations are treated as embedded properties of interaction design and system behaviour, rather than as external constraints. Contributions are expected to clarify mechanisms by which emotion-driven cues, perceived intentionality, and adaptive responses affect human agency, responsibility, and moral accountability.
The objective is to advance scientifically grounded understanding of how cognitive, affective, and ethical factors co-evolve in AI-augmented environments.

Subtopics for contributions include, but are not limited to:
Emotion-aware intelligent systems
Emotion recognition, modeling, and synthesis
Multimodal affective signal processing
Emotion-aware human–computer interaction
Affective user interfaces and adaptive systems
Affective agents, chatbots, and large language models
Emotion-driven decision making and behavior modeling
Emotional well-being in HCI
Empathy, personality, and individual differences in interaction
Affective computing for health, education, and well-being
Ethical, fairness, and privacy aspects in emotion-aware AI
Cross-cultural and context-dependent emotion interpretation
Affective feedback in social robots and embodied agents
Physiological and neuro-adaptive sensing for affect detection
Datasets, benchmarks, and evaluation metrics for affective systems
Affective personalization and long-term emotional adaptation

These are only suggestions; we welcome papers discussing other issues related to the topic.

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