| KEYWORD |
Conversational agent for digital wellbeing
keywords CONVERSATIONAL AGENTS, DIGITAL WELLBEING, HUMAN COMPUTER INTERACTION, SOFTWARE, USER INTERFACE
Reference persons LUIGI DE RUSSIS
External reference persons Alberto Monge Roffarello
Research Groups DAUIN - GR-10 - Intelligent and Interactive Systems - e-LITE
Thesis type EXPERIMENTAL, RESEARCH
Description The thesis focuses on behaviour support agents for helping people to engage with their social environment and establish the conditions for a healthier digital lifestyle. Specifically, the work investigates how a conversational agent, e.g., with a reinforcement learning algorithm, can support individuals, involving their social networks, to improve their digital wellbeing. The exact actions, conversations, etc. will be crafted together with the student, starting from the existing scientific literature on this topic and from a user study. The outcome of the thesis will be a prototype of a conversational agent, for example made with RASA, together with the designed interventions to improve digital wellbeing.
Deadline 09/05/2022
PROPONI LA TUA CANDIDATURA