3 citations · 10 across the 10 of their papers we have counts for
11 papers · 1 filter
Emotionally-Aware Agents for Dispute Resolution
Sushrita Rakshit, James Hale, Kushal Chawla +2
In conflict, people use emotional expressions to shape their counterparts' thoughts, feelings, and actions. This paper explores whether automatic text emotion recognition offers in…
KODIS: A Multicultural Dispute Resolution Dialogue Corpus
James Hale, Sushrita Rakshit, Kushal Chawla +2
We present KODIS, a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. Motivated by a theoretical model of culture and conflict, participant…
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
Deuksin Kwon, Emily Weiss, Tara Kulshrestha +3
A successful negotiation requires a range of capabilities, including comprehension of the conversation context, Theory-of-Mind (ToM) skills to infer the partner's motives, strategi…
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions
Kushal Chawla, Ian Wu, Yu Rong +2
A natural way to design a negotiation dialogue system is via self-play RL: train an agent that learns to maximize its performance by interacting with a simulated user that has been…
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation
Kushal Chawla, Gale M. Lucas, Jonathan May +1
Opponent modeling is the task of inferring another party's mental state within the context of social interactions. In a multi-issue negotiation, it involves inferring the relative…
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems
Kushal Chawla, Jaysa Ramirez, Rene Clever +3
Automated systems that negotiate with humans have broad applications in pedagogy and conversational AI. To advance the development of practical negotiation systems, we present CaSi…