[Colloquium] Re: [CS] Mourad Heddaya MS Presentation/Feb 15, 2024

[Ilan Puterman]

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Thank you,
Ilan

From: cs <cs-bounces+ilanputerman=cs.uchicago.edu at mailman.cs.uchicago.edu> on behalf of meganwoodward at uchicago.edu <meganwoodward at uchicago.edu>
Date: Thursday, February 1, 2024 at 10:39 AM
To: cs at cs.uchicago.edu <cs at cs.uchicago.edu>, colloquium at cs.uchicago.edu <colloquium at cs.uchicago.edu>
Subject: [CS] Mourad Heddaya MS Presentation/Feb 15, 2024
This is an announcement of Mourad Heddaya's MS Presentation
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Candidate: Mourad Heddaya

Date: Thursday, February 15, 2024

Time:  3 pm CST

Remote Location: https://uchicago.zoom.us/j/9486973491?pwd=VUpDaTlKZ1RaL2dKSlpjMUV3VVk5dz09

Location: JCL 390

Title: Language of Bargaining

Abstract: Leveraging an established exercise in negotiation education, we build a novel dataset for studying how the use of language shapes bilateral bargaining. Our dataset extends existing work in two ways: 1) we recruit participants via behavioral labs instead of crowdsourcing platforms and allow participants to negotiate through audio, enabling more naturalistic interactions; 2) we add a control setting where participants negotiate only through alternating, written numeric offers. Despite the two contrasting forms of communication, we find that the average agreed prices of the two treatments are identical. But when subjects can talk, fewer offers are exchanged, negotiations finish faster, the likelihood of reaching agreement rises, and the variance of prices at which subjects agree drops substantially. We further propose a taxonomy of speech acts in negotiation and enrich the dataset with annotated speech acts. We set up prediction tasks to predict negotiation success and find that being reactive to the arguments of the other party is advantageous over driving the negotiation.

Advisors: Chenhao Tan

Committee Members: Chenhao Tan, Mina Lee, and Alexander Zentefis

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