Agent-Based Social Skills Training Systems: A Comprehensive Analysis of Commercial Solutions

What commercially available training systems are out there and how do they model their agents and feedback?

Bachelor thesis (2023)

Authors

N.A. Catarino Antunes Electrical Engineering, Mathematics and Computer Science

Contributors

W.P. Brinkman Interactive Intelligence - EEMCS (supervisor 1)
M. Al Owayyed Interactive Intelligence - EEMCS (supervisor 1)
E. Eisemann Computer Graphics and Visualisation - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Nuno Catarino Antunes
Chatbot Training systems Agent-based Commercial Social skills Rapid review
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Published Date

03-07-2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Agent-based social skills training systems have been gaining attention for their potential to improve social skills development in various contexts. Through a rapid review methodology, data was collected from diverse sources, including company websites and research papers. This study then uses the collected data to categorize 8 commercial systems based on their agent model and feedback approaches, into two categorization tables. The findings reveal notable trends in the use of choice-based input, scenario-defined decision-making, and post-interaction feedback. Additionally, the paper discusses the limitations of these findings, highlights characteristics of commercial systems and compares them to research systems, as well as suggesting areas for future research. This study contributes to the understanding and advancement of agent-based social skills training systems, offering guidance to researchers in this field.

Files

Final_paper.pdf
(.pdf | 1.24 Mb)