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Active Inference and Human–Computer Interaction

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Review highlights how active inference models user behavior in human-computer interaction, suggesting implications for AI integration.

Active inference provides a new framework for understanding and modeling human-computer interaction, facilitating adaptive systems.
This approach uses generative models to explain user behaviors and concepts like agency and engagement in interactions.
The methodology integrates AI technologies and complex sensor systems to address diverse human contexts and needs.
Challenges in practical implementation of active inference-based systems vary, requiring careful consideration during design.

Murray‐Smith et al. (2025) studied this question.

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