PAIR 2014 - AAAI Fall Symposium on Plan Activity and Intent Recognition

Plan recognition, activity recognition, and intent recognition all involve making inferences about other actors from observations of their behavior, that is, 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 multiagent 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, and ecommerce and collaborative filtering.
This symposium seeks to bring together researchers and practitioners from these 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's symposium will emphasize the discussion of algorithmic challenges and trends in activity and intent recognition and its role in proactive assistive technology ranging from smart environments, mobile personal assistance to automated surveillance.
Topics
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
Related contributions in other fields, are also welcome.