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ACE: A LLM-based Negotiation Coaching System

Project Overview

The document explores the innovative use of a Large Language Model (LLM)-based negotiation coaching system called ACE, which is specifically designed to enhance the negotiation skills of learners, with a focus on underrepresented groups. By serving as a virtual negotiation partner, ACE provides personalized feedback derived from an annotated dataset collected from MBA negotiation classes. This system addresses the accessibility challenges associated with traditional negotiation training, which often entails high costs and limited availability. The findings reveal that participants using ACE demonstrate notable improvements in their negotiation performance when compared to those who undergo conventional training methods. Overall, ACE exemplifies how generative AI can democratize educational opportunities and foster skill development in critical areas like negotiation.

Key Applications

ACE: A LLM-based Negotiation Coaching System

Context: Educational context focusing on MBA students and underrepresented populations seeking to improve negotiation skills.

Implementation: Developed using negotiation transcripts from MBA students and an annotation scheme for identifying negotiation mistakes, ACE provides real-time feedback during simulated negotiations.

Outcomes: Significant improvement in negotiation performance was observed, with users receiving targeted feedback outperforming those who did not.

Challenges: Challenges include the system's inability to retain user interaction history and cultural limitations in negotiation styles that may not align with the American approach.

Implementation Barriers

Technical barrier

The ACE system does not retain memory of previous interactions, limiting its ability to provide personalized feedback in repeated sessions.

Proposed Solutions: Future work could focus on enabling memory retention to enhance personalized coaching experiences.

Cultural barrier

The negotiation strategies and feedback provided by ACE are based on an American negotiation style, which may not be applicable or effective in other cultural contexts.

Proposed Solutions: Adapting the system to incorporate diverse negotiation styles and training methods from various cultures.

Project Team

Ryan Shea

Researcher

Aymen Kallala

Researcher

Xin Lucy Liu

Researcher

Michael W. Morris

Researcher

Zhou Yu

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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