Authors
Lennert Jansen
Štepán Lars Laichter
Arabella Sinclair
M.J. van der Goot
R. Fernandez Rovira
S. Pezzelle
Date (dd-mm-yyyy)
2022
Title
Exploring Age Adaptation of Conversational Systems
Publication Year
2022
Document type
Web publication or website
Abstract
What if conversational agents would be able to adapt in the way they interact with humans? Unfortunately, state-of-the-art AI systems currently lack sophisticated adaptation capabilities. Our long-term goal is to develop artificial agents that can adapt to individuals/user groups at any level (age, expertise, language style, etc.) and that are perceived as trustable by users.

In the following project, we focused on users of different age groups, and asked:

• Can some degree of adaptation be achieved by training a state-of-the-art system with data targeted to specific age groups?
• Does this lead to differences in the perceived degree of anthropomorphism, social presence, trust, appreciation, and comprehensibility of the message?

This an open-source demo that showcases the results of the project regarding the first of these research questions.
Permalink
https://hdl.handle.net/11245.1/709e1189-1e9e-4ce2-b53f-7fef7c8e9443