Paper Info
Title
Strategic Human-Agent Interaction: From Promoting Traffic Safety To Search And Rescue
Abstract
As technology progresses, we find ourselves working with automated agents increasingly more often. Developing intelligent automated agents capable of interacting proficiently with people necessitates the development of integrative approaches which consider both the computational and human factors. In this talk, I will present three of my integrated research efforts towards developing intelligent agents with real-world impact, ranging from 'adversarial' settings such as apprehending reckless drivers to fully cooperative settings such as robotic search and rescue. Through extensive empirical evaluations, we demonstrate how the integration of AI and agent technologies (including machine learning and optimization) with behavioural sciences such as psychology and economics can bring about a much desired leap in the way we develop human interacting agents for social good.
Year
DOI
Venue
2018
10.5555/3237383.3237388
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18)
Keywords
Field
DocType
social agents, human-computer interaction, behavioural science
Intelligent agent,Search and rescue,Computer science,Human–computer interaction,Social agents,Behavioural sciences,Artificial intelligence,Machine learning,Adversarial system
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Ariel Rosenfeld18713.03