Please use this identifier to cite or link to this item:
http://repository.iiitd.edu.in/xmlui/handle/123456789/2045Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 |
| Appears in Collections: | Year-2024 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| BTP (1) - Kanishk Goel.pdf Restricted Access | 559.56 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.