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