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This study explores the cognitive and emotional impact of AI-generated images in a human-robot interaction context aimed at stimulating autobiographical memory. An integrated system combining the Pepper robot with a generative model for real-time visualization of user-narrated memories was developed. A preliminary evaluation conducted on 15 participants highlighted a significant reduction in negative emotionality in users after interacting with the system (p = .01). Although the approach is promising for therapeutic applications, the results obtained suggest the need to improve the alignment between facial emotion recognition and self-reported affectivity, highlighting the importance of multimodal assessment tools.

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Visualizing the Past: Emotional and Cognitive Impacts of AI-Generated Images in Human-Robot Interaction

  • 会议论文

  • 发表日期：

    2026年

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  • Ilaria Amaro,
  • Domenico Rossi,
  • Attilio Della Greca,
  • Fabiola De Marco,
  • Alessia Auriemma Citarella,
  • Luigi Di Biasi,
  • Cesare Tucci,
  • Genoveffa Tortora

摘要

This study explores the cognitive and emotional impact of AI-generated images in a human-robot interaction context aimed at stimulating autobiographical memory. An integrated system combining the Pepper robot with a generative model for real-time visualization of user-narrated memories was developed. A preliminary evaluation conducted on 15 participants highlighted a significant reduction in negative emotionality in users after interacting with the system (p = .01). Although the approach is promising for therapeutic applications, the results obtained suggest the need to improve the alignment between facial emotion recognition and self-reported affectivity, highlighting the importance of multimodal assessment tools.