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ORCIDAAAI Spring Symposium 2007 - Interaction Challenges for Intelligent Assistants: Stanford University, CA, USA
- Interaction Challenges for Intelligent Assistants, Papers from the 2007 AAAI Spring Symposium, Technical Report SS-07-04, Stanford, California, USA, March 26-28, 2007. AAAI 2007
- Neil Yorke-Smith:
Preface. 11- - Neil Yorke-Smith:
Organizing Committee. 11- - Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, Brian Stankiewicz:
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication. 1-9 - Pauline Berry, Bart Peintner, Neil Yorke-Smith:
Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants. 10-11 - Jim Blythe, Prateek Tandon, Mandar Tillu:
Task Learning by Instruction: Benefits and Challenges for Intelligent Interactive Systems. 12-17 - Amedeo Cesta, Gabriella Cortellessa, Federico Pecora, Riccardo Rasconi:
Supporting Interaction in the ROBOCARE Intelligent Assistive Environment. 18-25 - Kenneth Conley, James Carpenter:
Towel: Towards an Intelligent To-Do List. 26-32 - Patrick Ehlen, Matthew Purver, John Niekrasz:
A Meeting Browser that Learns. 33-40 - Boris A. Galitsky, Boris Kovalerchuk:
Learning Interaction between Conflicting Human Agents and Their Assistants. 41-42 - Yolanda Gil, Timothy Chklovski:
Enhancing Interaction with To-Do Lists: Using Artificial Assistants. 43-51 - Didier Guzzoni, Charles Baur, Adam Cheyer:
Modeling Human-Agent Interaction with Active Ontologies. 52-59 - Andreas G. Hofmann, Brian Charles Williams:
Intent Recognition for Human-Robot Interaction. 60-61 - Wayne Iba:
When Is Assistance Really Helpful? 62-63 - Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro A. Szekely:
VizScript: Visualizing Complex Interactions in Multi-Agent Systems. 64-65 - Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng:
An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions. 66-71 - Shuyin Li, Britta Wrede:
Why and How to Model Multi-Modal Interaction for a Mobile Robot Companion. 72-79 - Deborah L. McGuinness, Alyssa Glass, Michael Wolverton, Paulo Pinheiro da Silva:
Explaining Task Processing in Cognitive Assistants That Learn. 80-87 - Marko Modsching, Ronny Kramer, Klaus ten Hagen, Ulrike Gretzel:
Effectiveness of Mobile Recommender Systems for Tourist Destinations: A User Evaluation. 88-89 - Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli
, Alan Fern:
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems. 90-97 - Donald J. Patterson:
Involving Intelligent Assistants in Active Human Communication. 98-99 - Bart Peintner, William Jarrold:
The Need for Assistants that Monitor Cognitive Abilities. 100-101 - Zahar Prasov, Joyce Y. Chai, Hogyeong Jeong:
Eye Gaze for Attention Prediction in Multimodal Human-Machine Conversation. 102-110 - Nadine Richard, Seiji Yamada:
An Adaptive, Emotional, and Expressive Reminding System. 111-118 - Simone Stumpf, Margaret M. Burnett, Thomas G. Dietterich:
Improving Intelligent Assistants for Desktop Activities. 119-121 - Anthony Tomasic, John Zimmerman, Ian Hargraves, Roderick McMullen:
User Constructed Data Integration via Mixed-Initiative Design. 122-123 - Scott A. Wallace:
Enabling Trust with Behavior Metamodels. 124-131 - Julie S. Weber, Martha E. Pollack:
Effective Interaction Strategies for Adaptive Reminding. 132-134 - Wayne Wobcke, Anh Nguyen, Van Hai Ho, Alfred Krzywicki:
The Smart Personal Assistant: An Overview. 135-136 - Shawn R. Wolfe:
Supporting Air Traffic Flow Management with Agents. 137-138 - Jie Zhang, Robin Cohen:
Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings. 139-
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