NEGOTIATOR

A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion

Conference paper (2024)

Authors

Mehmet Onur Keskin Özyeğin University
Berk Buzcu HES-SO Valais-Wallis University of Applied Science
Berkecan Koçyiğit Özyeğin University
Umut Çakan Özyeğin University
Anıl Doğru Özyeğin University
Reyhan Aydoğan Özyeğin University, Interactive Intelligence - EEMCS
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
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Published Date

2024

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

The paper introduces a comprehensive human-agent negotiation framework designed to facilitate the development and evaluation of research studies on human-agent negotiation without building each component from scratch. Leveraging the interoperability and reusability of its components, this framework offers various functionalities, including speech-to-text conversion, emotion recognition, a repository of negotiation strategies, and an interaction manager capable of managing gestures designed for Nao, Pepper, and QT, and coordinating message exchanges in a turn-taking fashion. This framework aims to lower the entry barrier for researchers in human-agent negotiation by providing a versatile platform that supports a wide range of research directions, including affective computing, natural language processing, decision-making, and non-verbal communication.

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