GenAI for Digital Personality Modelling

Humans and animals have emotions linked to an individual’s personality traits, which becomes obvious when looking into the pet and pet-owner interactions. With the advancement of Generative AI, research suggests that it is possible to replicate individuals’ behaviors digitally so that avatars can engage in game-plays and platforms like digital twins and metaverse, for entertainments and even for providing comforts in a healthcare, assisted living or rehabilitation setting. Chatbots, as digital assistants, have been widely used for similar purposes. However, insufficient effort has been deployed in the human-pet interaction scenarios. This proposal aims to address this research gap by exploring the capabilities of current Large Language Models (LLMs) and applying Generative AI techniques for Digital Personality Modelling.

Faculty Supervisor:

Irene Cheng

Student:

Partner:

Petolab

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

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