How truthful explanation of a conceder negotiation agent affects human trust, compared to a neutral one

Bachelor thesis (2023)

Authors

P. Germanov Electrical Engineering, Mathematics and Computer Science

Contributors

C. Centeio Jorge Interactive Intelligence - EEMCS (mentor)
M.L. Tielman Interactive Intelligence - EEMCS (mentor)
Rafael Bidarra Computer Graphics and Visualisation - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Pavel Germanov
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Published Date

04-07-2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Trust in negotiation agents plays a crucial role in their adoption and utilization. However, there is not enough research on what factors influence it. This paper aims to investigate how different explanations of a negotiation agent’s strategy affect human trust and decision-making. Specifically, it compares the effects of a truthful explanation and a neutral explanation on trust in a conceder negotiation agent. An experiment was conducted involving human participants interacting with a negotiation agent in an imaginary negotiation scenario. The participants were divided into two groups, with one group receiving a truthful explanation of the agent’s strategy, and the other receiving a neutral explanation. Trust levels were assessed through a questionnaire and the results were analyzed using an independent samples t test. No significant difference was found between the two groups, but further research needs to be done before conclusions are drawn.

Files

Final_paper.pdf
(.pdf | 0.433 Mb)