Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/2045
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dc.contributor.authorGoel, Kanishk-
dc.contributor.authorSingh, Pushpendra (Advisor)-
dc.date.accessioned2026-08-28T11:09:43Z-
dc.date.available2026-08-28T11:09:43Z-
dc.date.issued2024-11-27-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/2045-
dc.description.abstractThis 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.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectEmotional journalingen_US
dc.subjectAffective computingen_US
dc.subjectEmotion recognitionen_US
dc.subjectPersonalized therapyen_US
dc.subjectEmotion reactivity scaleen_US
dc.titleUser-aware emotion journalingen_US
dc.typeOtheren_US
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