PAIR 2013 - 2013 Plan, Activity and Intent Recognition Workshop

Plan recognition, activity recognition, and intent recognition all involve making inferences about other actors from observations of their behavior, i.e., their interaction with the environment and with each other. The observed actors may be software agents, robots, or humans. This synergistic area of research combines and unifies techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. It plays a crucial role in a wide variety of applications including:
personal intelligent assistants
assistive technology in health and smart environments
intelligent human-computer interface
natural language and speech dialogue management
computer and network security
coordination in robots and software agents
e-commerce and collaborative filtering
This workshop seeks to bring together researchers and practitioners from diverse backgrounds, to share in ideas and recent results. In addition to traditional topics in plan, activity and intent recognition and the modeling of other agents, this year workshop will emphasize the discussion of algorithmic challenges and trends in activity and intent recognition and its role in proactive assistive technology technology ranging from smart environments, mobile personal assistance to automated surveillance.
Contributions are sought in the following areas of research:
Algorithms for plan, activity, intent, or behavior recognition
Machine learning and uncertain reasoning for plan recognition and user modeling
Hybrid probabilistic and logical approach to plan and intent recognition
Modeling users and intents on the web and in intelligent user interface
Modeling users and intents in speech and natural language dialogue
High-level activity and event recognition in video
Algorithms for intelligent proactive assistance
Modeling multiple agents, modeling teams and collaboration teamwork
Modeling social interactions and social network analysis
Adversarial planning, opponent modeling
Intelligent tutoring systems (ITS)
Programming by demonstration
Cognitive models of intent recognition
Inferring emotional states