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Navigating Emotions Through Art

Author(s)
Wu, Christine; Kumar, Ila; Picard, Rosalind
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
In this study, we design and deploy a novel system to examine the safety and efficacy of using a chatbot to conduct aspects of art therapy with youth who have experienced developmental trauma, focusing on supporting emotion identification, processing, and expression. This publication describes phase one, gathering feedback on the system from practicing art therapists (n = 17) and making recommendations for how to evolve such work in beneficial ways to meet the needs of trauma-impacted youth. Our findings highlight the potential value of chatbots for trauma-impacted youth as well as important reflection questions these chatbots should ask. Additionally, the study discusses the risk of harm associated with chatbot interventions, particularly if the conversation brings up negative emotions that the chatbot fails to help process. Finally, we end by presenting a set of practitioner-driven recommendations for chatbot designers who are interested in helping trauma-impacted youth understand and cope with their emotions, leveraging art therapy techniques.
Description
CHI EA ’25, Yokohama, Japan
Date issued
2025-04-25
URI
https://hdl.handle.net/1721.1/164356
Department
Massachusetts Institute of Technology. Media Laboratory
Publisher
ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Citation
Christine Wu, Ila Krishna Kumar, and Rosalind Picard. 2025. Navigating Emotions Through Art: Recommendations for Designing Art-Therapy Based Chatbots for Trauma-Impacted Youth: Recommendations for Designing Art-Therapy Based Chatbots for Trauma-Impacted Youth. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 413, 1–7.
Version: Final published version
ISBN
979-8-4007-1395-8

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