Events Calendar

PhD Thesis Defense - Kushal Chawla

PhD Defense - Kushal Chawla  
 
Title: Computational Foundations for Mixed-Motive Human-Machine Dialogue  
 
Committee Members:   Gale Lucas (Chair), Jonathan Gratch, Jonathan May, Peter Kim, Maja Mataric  
 
Abstract:    Success in a mixed-motive interaction demands a balance between self-serving and other-serving behaviors. For instance, in a typical negotiation, a player must balance maximizing their own goals with the goals of their partner so as to come to an agreement. If the player asks for too much, this can push the partner to walk away without an agreement, hence, hurting the outcomes for all the parties involved. Such interactions are ubiquitous in everyday life, from deciding who performs household chores to customer support and high-stakes business deals. Consequently, AI tools capable of comprehending and participating in such mixed-motive or other social influence interactions (such as argumentation or therapy) find broad applications in pedagogy and conversational AI.  
 
In this thesis, we present our foundational work for enabling mixed-motive human-machine dialogue. I will discuss our progress in three key areas: 1) The design of a novel task and dataset of grounded human-human negotiations that has fueled our investigations into the impact of emotion expression and linguistic strategies, 2) Techniques for mixed motive dialogue systems that learn to strike a balance between self and partner interests, and 3) Promoting a research community for dedicated efforts and discussion in this area.      
 
 
https://usc.zoom.us/j/96411089883?pwd=WDNuMjF1NDNTTXV5cDdGaWJzOG9Gdz09

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110

Audiences: Everyone Is Invited

Contact: CS Events

Event Link: https://usc.zoom.us/j/96411089883?pwd=WDNuMjF1NDNTTXV5cDdGaWJzOG9Gdz09