KEYWORD |
DAUIN - GR-10 - Intelligent and Interactive Systems - ELITE
An LLM-powered mobile application for personalized digital wellbeing
keywords DIGITAL WELLBEING, HUMAN COMPUTER INTERACTION, LARGE LANGUAGE MODELS, MOBILE APP DESIGN, MOBILE APP DEVELOPEMENT, MOBILE APPLICATIONS
Reference persons LUIGI DE RUSSIS, ALBERTO MONGE ROFFARELLO
External reference persons Luca Scibetta
Research Groups DAUIN - GR-10 - Intelligent and Interactive Systems - ELITE
Thesis type EXPERIMENTAL
Description As digital platforms and devices become increasingly pervasive in daily life, technology overuse has emerged as a significant concern affecting users' wellbeing and productivity. While various digital wellbeing solutions exist, they often provide rigid, one-size-fits-all approaches that fail to adapt to individual needs and circumstances. Recent advancements in Large Language Models (LLMs) have shown remarkable capabilities in creating intelligent, context-aware, adaptable applications, yet their potential for enhancing digital wellbeing interventions remains largely unexplored.
This thesis proposes to investigate and develop an LLM-powered application that provides personalized support for managing technology use and fostering healthier digital habits. The research will begin by studying the problem space and existing solutions to identify optimal design patterns for LLM-based digital wellbeing interventions.
Based on these findings, the work will focus on developing a mobile application that leverages LLMs to deliver personalized micro-interventions, gradually promoting user autonomy while maintaining engagement through customized interaction.
The application's effectiveness will be evaluated through a field study, focusing on usability metrics and user perceptions of the intervention approach. Quantitative and qualitative feedback will be collected to assess the application's impact and potential.
If satisfactory, the result of the thesis will be released as an open-source project.
Required skills Experience with mobile app development
Knowledge of UI/UX design principles
Basic understanding of LLMs and related APIs
Interest in digital wellbeing
Deadline 30/01/2025
PROPONI LA TUA CANDIDATURA