Negotiation with the help of a negotiation agent

How the agent’s negotiation style affects trust

Bachelor Thesis (2023)
Author(s)

K. Penchev (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

C. Centeio Jorge – Mentor (TU Delft - Interactive Intelligence)

M.L. Tielman – Mentor (TU Delft - Interactive Intelligence)

R. Bidarra – Graduation committee member (TU Delft - Computer Graphics and Visualisation)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Kostadin Penchev
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Kostadin Penchev
Graduation Date
04-07-2023
Awarding Institution
Delft University of Technology
Project
['CSE3000 Research Project']
Programme
['Computer Science and Engineering']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Negotiation is a challenging process for people, which often results in suboptimal agreements between the negotiating parties. This issue leads to lost benefits that one of the negotiating parties could have obtained. To counteract this drawback artificially intelligent negotiation agents are developed. Their goal is to help negotiating parties increase the overall benefits from a negotiation. However, the main drawback of such agents is that people need to trust the agents in order to use them. In this research paper we investigate whether a negotiating agent with a hardliner negotiating style would be trusted more than a negotiating agent with a conceder negotiation style. We answer this question by conducting an user study, where we measure participants' trust in the two negotiation agents and compare the results. From the results we concluded that the assumption is correct for the sample group that participated in the user study.

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