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User-aware emotion journaling

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dc.contributor.author Goel, Kanishk
dc.contributor.author Singh, Pushpendra (Advisor)
dc.date.accessioned 2026-08-28T11:09:43Z
dc.date.available 2026-08-28T11:09:43Z
dc.date.issued 2024-11-27
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/2045
dc.description.abstract This report introduces a personalized journaling framework designed to enhance emotional awareness and therapeutic interventions. The framework integrates pre-journal assessments using the Emotion Reactivity Scale (ERS) and the Toronto Alexithymia Scale (TAS-20) to evaluate baseline emotional characteristics. Utilizing valence and arousal inputs, the system dynamically generates tailored journaling prompts and follow- up questions via a fine-tuned GPT API, creating an adaptive and interactive journaling experience. User responses are summarized into daily emotional snapshots, facilitating self-reflection and providing valuable insights for therapeutic use. This approach combines validated psychological measures with cutting-edge AI technologies to redefine journaling as a tool for mental health support. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Emotional journaling en_US
dc.subject Affective computing en_US
dc.subject Emotion recognition en_US
dc.subject Personalized therapy en_US
dc.subject Emotion reactivity scale en_US
dc.title User-aware emotion journaling en_US
dc.type Other en_US


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