Using Social Signal Processing and Conversational Agent To Aid People in their Negotiation Skills

Self-awareness through Mimicry

Master Thesis (2023)
Author(s)

W. Chen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Catholijn M. Jonker – Mentor (TU Delft - Interactive Intelligence)

Catharine Oertel – Mentor (TU Delft - Interactive Intelligence)

H.S. Hung – Graduation committee member (TU Delft - Pattern Recognition and Bioinformatics)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Weilun Chen
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Weilun Chen
Graduation Date
08-11-2023
Awarding Institution
Delft University of Technology
Programme
['Computer Science | Artificial Intelligence']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Negotiation is not a skill that comes naturally to most people. However, most people could benefit from attaining good negotiation skills. Non-verbal behaviour plays an important role in negotiations. Previous studies have shown a link between mimicry through conversational agents and self-regulation of non-verbal behaviour. The current study aims to raise a person’s self-awareness of their non-verbal behaviour through the medium of a conversational agent in negotiation training. An experiment (N = 64) is conducted where participants performed negotiations with an intermediate feedback round where the participants' non-verbal behaviour was played back on a virtual agent. The agent either mimicked the participants’ non-verbal behaviour or exhibited idle behaviour. It was found that the mimicking agent provided better feedback to the participants. Furthermore, repeated negotiations increase a person's self-awareness. The data indicate that raising a person’s self-awareness in negotiation training by utilising non-verbal mimicry through a conversational agent is feasible.

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