For humans and automation to effectively collaborate and perform tasks, all participants need access to a common representation of potentially relevant situational information, or context. This article describes a general framework for building context-aware interactive intelligent systems that comprises three major functions: (1) capture human-system interactions and infer implicit context; (2) analyze and predict user intent and goals; and (3) provide effective augmentation or mitigation strategies to improve performance, such as delivering timely, personalized information and recommendations, adjusting levels of automation, or adapting visualizations. We then describe our current work towards a general platform that supports developing context-aware applications in a variety of domains. We then explore an example use case illustrating how our framework can facilitate personalized collaboration within an information management and decision support tool.
Buller, Mark (Brown University) | Cuddihy, Paul (General Electric Research) | Davis, Ernest (New York University) | Doherty, Patrick (Linkoping University) | Doshi-Velez, Finale (Massachusetts Institute of Technology) | Erdem, Esra (Sabanci University) | Fisher, Douglas (Vanderbilt University) | Green, Nancy (University of North Carolina, Greensboro) | Hinkelmann, Knut (University of Applied Sciences Northwestern Switzerland FHNW) | Maher, Mary Lou (University of Maryland) | McLurkin, James (Rice University) | Maheswaran, Rajiv (University of Southern California) | Rubinelli, Sara (University of Lucerne) | Schurr, Nathan (Aptima, Inc.) | Scott, Donia (University of Sussex) | Shell, Dylan (Texas A&M University) | Szekely, Pedro (University of Southern California) | Thönssen, Barbara (University of Applied Sciences Northwestern Switzerland FHNW) | Urken, Arnold B. (University of Arizona)
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2011 Spring Symposium Series Monday through Wednesday, March 21–23, 2011 at Stanford University. The titles of the eight symposia were AI and Health Communication, Artificial Intelligence and Sustainable Design, AI for Business Agility, Computational Physiology, Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, Logical Formalizations of Commonsense Reasoning, Multirobot Systems and Physical Data Structures, and Modeling Complex Adaptive Systems As If They Were Voting Processes.
Anderson, Michael L., Barkowsky, Thomas, Berry, Pauline, Blank, Douglas, Chklovski, Timothy, Domingos, Pedro, Druzdzel, Marek J., Freksa, Christian, Gersh, John, Hegarty, Mary, Leong, Tze-Yun, Lieberman, Henry, Lowe, Ric, Luperfoy, Susann, Mihalcea, Rada, Meeden, Lisa, Miller, David P., Oates, Tim, Popp, Robert, Shapiro, Daniel, Schurr, Nathan, Singh, Push, Yen, John
The Association for the Advancement of Artificial Intelligence presented its 2005 Spring Symposium Series on Monday through Wednesday, March 21-23, 2005 at Stanford University in Stanford, California. The topics of the eight symposia in this symposium series were (1) AI Technologies for Homeland Security; (2) Challenges to Decision Support in a Changing World; (3) Developmental Robotics; (4) Dialogical Robots: Verbal Interaction with Embodied Agents and Situated Devices; (5) Knowledge Collection from Volunteer Contributors; (6) Metacognition in Computation; (7) Persistent Assistants: Living and Working with AI; and (8) Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance.