Author
Aydoğan, Reyhan, Keskin, Mehmet Onur, Çakan, Umut
Publication Date
2022-02
Publication Place
-
IEEE
Subject
Effect of gestures in negotiation, Human-agent negotiation, Human-robot negotiation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2168-2291
Record ID
03e8fd11-d54f-4ed3-b97c-50fa6e085dc6
Library Location
Computer Science
Date
2022-02
Notes
TÜBİTAK
Sample Text
With the improvement of intelligent systems and robotics, social robots are becoming part of our society. To accomplish complex tasks, robots and humans may need to collaborate, and when necessary, they need to negotiate with each other. While designing such socially interacting robots, it is crucial to consider human factors such as facial expression, emotions, and body language. Since gestures play a crucial role in interaction, this article studies the effect of gestures in human-robot negotiation experiments. Additionally, it compares the performance of variants of the well-known negotiation tactics (i.e., time-based and behavior-based) in automated negotiation literature in the context of human-robot negotiations. Our experimental results support the finding in automated negotiation. That is, the robot gained higher utility when it imitates its opponent's bidding strategy than employing a time-based negotiation strategy. When adopting a behavior-based technique, there is a statistically significant effect of gestures on the underlying negotiation process, and, therefore, on negotiation outcome.
DOI
10.1109/THMS.2021.3121664
Cilt
52
