activity
19962023
most citedAVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

109 citations · 118 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 1 cited

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…

cs.CL2023★ 5 cited

Is GPT a Computational Model of Emotion? Detailed Analysis

Ala N. Tak, Jonathan Gratch

This paper investigates the emotional reasoning abilities of the GPT family of large language models via a component perspective. The paper first examines how the model reasons abo…

cs.CL2022

Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks

Kushal Chawla, Weiyan Shi, Jingwen Zhang +3

Dialogue systems capable of social influence such as persuasion, negotiation, and therapy, are essential for extending the use of technology to numerous realistic scenarios. Howeve…

cs.GT2022★ 1 cited

The Impact of Partner Expressions on Felt Emotion in the Iterated Prisoner's Dilemma: An Event-level Analysis

Maria Angelika-Nikita, Celso M. de Melo, Kazunori Terada +2

Social games like the prisoner's dilemma are often used to develop models of the role of emotion in social decision-making. Here we examine an understudied aspect of emotion in suc…

cs.CL2022★ 1 cited

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…

cs.CV2021★ 1 cited

Understanding of Emotion Perception from Art

Digbalay Bose, Krishna Somandepalli, Souvik Kundu +3

Computational modeling of the emotions evoked by art in humans is a challenging problem because of the subjective and nuanced nature of art and affective signals. In this paper, we…

cs.HC2021

Towards Emotion-Aware Agents For Negotiation Dialogues

Kushal Chawla, Rene Clever, Jaysa Ramirez +2

Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans are useful in pedagogy an…

cs.CL2021

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…

cs.CL2020

Exploring Early Prediction of Buyer-Seller Negotiation Outcomes

Kushal Chawla, Gale Lucas, Jonathan May +1

Agents that negotiate with humans find broad applications in pedagogy and conversational AI. Most efforts in human-agent negotiations rely on restrictive menu-driven interfaces for…

cs.CV2016★ 109 cited

AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge

Michel Valstar, Jonathan Gratch, Bjorn Schuller +7

The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and mach…

cs.AI1996

Adaptive Problem-solving for Large-scale Scheduling Problems: A Case Study

J. Gratch, S. Chien

Although most scheduling problems are NP-hard, domain specific techniques perform well in practice but are quite expensive to construct. In adaptive problem-solving solving, domain…