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CPAI 2026 : Cognitive and Psychological Impacts of AI Adoption | |||||||||||||||
| Link: https://www.iaria.org/conferences2026/COGNITIVE26.html | |||||||||||||||
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Call For Papers | |||||||||||||||
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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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