AAAI 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 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 C. 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, Tom 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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