Abstract is missing.
- Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and CommunicationPatrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, Brian Stankiewicz. 1-9 [doi]
- Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling AssistantsPauline Berry, Bart Peintner, Neil Yorke-Smith. 10-11 [doi]
- PrefaceNeil Yorke-Smith. 11 [doi]
- Organizing CommitteeNeil Yorke-Smith. 11 [doi]
- Task Learning by Instruction: Benefits and Challenges for Intelligent Interactive SystemsJim Blythe, Prateek Tandon, Mandar Tillu. 12-17 [doi]
- Supporting Interaction in the ROBOCARE Intelligent Assistive EnvironmentAmedeo Cesta, Gabriella Cortellessa, Federico Pecora, Riccardo Rasconi. 18-25 [doi]
- Towel: Towards an Intelligent To-Do ListKenneth Conley, James Carpenter. 26-32 [doi]
- A Meeting Browser that LearnsPatrick Ehlen, Matthew Purver, John Niekrasz. 33-40 [doi]
- Learning Interaction between Conflicting Human Agents and Their AssistantsBoris Galitsky, Boris Kovalerchuk. 41-42 [doi]
- Enhancing Interaction with To-Do Lists: Using Artificial AssistantsYolanda Gil, Timothy Chklovski. 43-51 [doi]
- Modeling Human-Agent Interaction with Active OntologiesDidier Guzzoni, Charles Baur, Adam Cheyer. 52-59 [doi]
- Intent Recognition for Human-Robot InteractionAndreas G. Hofmann, Brian C. Williams. 60-61 [doi]
- When Is Assistance Really Helpful?Wayne Iba. 62-63 [doi]
- VizScript: Visualizing Complex Interactions in Multi-Agent SystemsJing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely. 64-65 [doi]
- An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded DiscussionsJihie Kim, Erin Shaw, Grace Chern, Donghui Feng. 66-71 [doi]
- Why and How to Model Multi-Modal Interaction for a Mobile Robot CompanionShuyin Li, Britta Wrede. 72-79 [doi]
- Explaining Task Processing in Cognitive Assistants That LearnDeborah L. McGuinness, Alyssa Glass, Michael Wolverton, Paulo Pinheiro da Silva. 80-87 [doi]
- Effectiveness of Mobile Recommender Systems for Tourist Destinations: A User EvaluationMarko Modsching, Ronny Kramer, Klaus ten Hagen, Ulrike Gretzel. 88-89 [doi]
- A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open ProblemsSriraam Natarajan, Kshitij Judah, Prasad Tadepalli, Alan Fern. 90-97 [doi]
- Involving Intelligent Assistants in Active Human CommunicationDonald J. Patterson. 98-99 [doi]
- The Need for Assistants that Monitor Cognitive AbilitiesBart Peintner, William Jarrold. 100-101 [doi]
- Eye Gaze for Attention Prediction in Multimodal Human-Machine ConversationZahar Prasov, Joyce Y. Chai, Hogyeong Jeong. 102-110 [doi]
- An Adaptive, Emotional, and Expressive Reminding SystemNadine Richard, Seiji Yamada. 111-118 [doi]
- Improving Intelligent Assistants for Desktop ActivitiesSimone Stumpf, Margaret M. Burnett, Tom G. Dietterich. 119-121 [doi]
- User Constructed Data Integration via Mixed-Initiative DesignAnthony Tomasic, John Zimmerman, Ian Hargraves, Roderick McMullen. 122-123 [doi]
- Enabling Trust with Behavior MetamodelsScott A. Wallace. 124-131 [doi]
- Effective Interaction Strategies for Adaptive RemindingJulie S. Weber, Martha E. Pollack. 132-134 [doi]
- The Smart Personal Assistant: An OverviewWayne Wobcke, Anh Nguyen, Van Hai Ho, Alfred Krzywicki. 135-136 [doi]
- Supporting Air Traffic Flow Management with AgentsShawn R. Wolfe. 137-138 [doi]
- Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair RatingsJie Zhang, Robin Cohen. 139 [doi]