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Human behaviour analysis of human-human and human-agent interactions in the Mod-Signal Game

Raveenthiran, Abi (2023) Human behaviour analysis of human-human and human-agent interactions in the Mod-Signal Game. Bachelor's Thesis, Artificial Intelligence.

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Abstract

This study aims to study human-human and human-agent interactions in a mixed-motive game called the Mod-Signal Game. In the Mod-Signal Game two players simultaneously choose a number from 1 to 24. A player gains a point when their number is exactly one higher than the other player's number. Before every round there is a signalling phase, which allows one of the players to signal which number they are going to choose before the round starts. The player does not have to choose the number they signalled. It is up to the other player to decide whether to trust this signal. In this experiment participants play the Mod-Signal Game with each other and unknowingly with an agent. When the participants are playing with the agent, they are made to believe that they are playing with a human with the presence of a confederate. This is the first time the Mod-Signal Game has been studied in a human-human setting. The results show that despite the increased payoffs for playing cooperatively, humans still tend to play competitive. The results also show that participants had a hard time distinguishing in which blocks they played with a human and that unknowingly playing with an agent did not have a significant effect on the participants behaviour in comparison to their behaviour when playing with a human.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Top, J.D. and Weerd, H.A. de
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 20 Jul 2023 10:51
Last Modified: 20 Jul 2023 10:51
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/30811

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