Master's Thesis Murilo Bellatini
Enabling Personal Communication for Voice-Based Health Assistants in Geriatric Care
Motivation
Current digital assistants often lack the personal touch required in the sensitive field of geriatric care. They can appear robotic and fail to establish meaningful connections with elderly users. To address this issue, we have collaborated with our partner company to explore new ways of personalizing health assistants. By incorporating a dynamic graph-based user model, we aim to bridge the gap between technology and human connection in geriatric care.
Objective
The main objective of this research is to develop a system that provides personalized responses in geriatric care. This involves the following components:
- Personal Knowledge Graph (PKG): A dynamic graph that captures user data from chat history, enabling tailored responses and enhancing engagement.
- Recommendation Module: Contextualize conversations using the PKG to provide personalized suggestions, leveraging a Retrieval Augmented Generation approach.
By combining the PKG and recommendation modules, our system aims empowering digital assistants to deliver personalized and compassionate care to elderly users
Research Questions
To achieve our objectives, this research will address the following key questions:
- Which concepts and entities should be included in the data model for effective personalization and user engagement?
- What information extraction techniques can be employed to populate the PKG with pertinent information?
- How can the extracted knowledge be integrated into the conversational framework to enable personalized responses?
- What evaluation methods can be used to assess the performance and effectiveness of the developed system?
| Attribute | Value |
|---|---|
| Title (de) | Ermöglichung persönlicher Kommunikation für sprachbasierte Gesundheitsassistenten in der Altenpflege |
| Title (en) | Enabling Personal Communication for Voice-Based Health Assistants in Geriatric Care |
| Project | AI-Based Digital Health Assistant (ALPHA-KI) |
| Type | Master's Thesis |
| Status | completed |
| Student | Murilo Bellatini |
| Advisor | Phillip Schneider |
| Supervisor | Prof. Dr. Florian Matthes |
| Start Date | 15.06.2023 |
| Sebis Contributor Agreement signed on | 12.06.2023 |
| Checklist filled | Yes |
| Submission date | 15.12.2023 |