Persistent Assistants: Living and Working with AI
Papers from the 2005 AAAI Spring Symposium
Daniel Shapiro, Pauline Berry, John Gersh, Nathan Schurr, Program Cochairs
Technical Report SS-05-05. 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 / vii
Daniel Shapiro, Pauline Berry, John Gersh, Nathan Schurr
Organizing Committee / iii
Daniel Shapiro, Pauline Berry, John Gersh, Nathan Schurr
Learning User Preferences
A Personalized Time Management Assistant: Research Directions / 1
Pauline M. Berry, Melinda T. Gervasio, Tomás E. Uribe, Martha E. Pollack, and Michael E. Moffitt
Calendar Assistants that Learn Preferences / 7
Jean Oh and Stephen F. Smith
Briefing Assistant: Learning Human Summarization Behavior over Time / 14
Nikesh Garera and Alexander I. Rudnicky
Communicating with Persistent Assistants
“And You Did That Why?”—Using an Abstraction Hierarchy to Design Interaction with Autonomous Spacecraft / 22
John Gersh, Kevin Cropper, William Fitzpatrick, Priscilla McKerracher, Jaime Montemayor, and Daniel Ossing
Ontology-Based Discourse Understanding for a Persistent Meeting Assistant / 26
John Niekrasz, Matthew Purver, John Dowding, and Stanley Peters
Living with a Personal Disk Jockey - The Start of the Journey / 34
L. F. Gunderson, T. Kilgore, and J. P. Gunderson
Interactions among Assistants
Optimize My Schedule but Keep It Flexible: Distributed Multi-Criteria Coordination for Personal Assistants / 39
Emma Bowring, Milind Tambe, and Makoto Yokoo
Bumping Strategies for the Private Incremental Multiagent Agreement Problem / 47
Pragnesh Jay Modi and Manuela Veloso
Building a Testbed for Studying Service / 55
Wayne Iba and Nicholas Burwell
Delegation and Control
Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents / 60
Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, and Milind Tambe
Practical POMDPs for Personal Assistant Domains / 68
Pradeep Varakantham, Rajiv T. Maheswaran, and Milind Tambe
Autonomous Agents as Adaptive Perceptual Interfaces / 76
Sattiraju Prabhakar
User Modeling and Task Modeling
A Personalized Assistant for Customer Complaints Management Systems / 84
Boris Galitsky
Narratives: Composing and Controlling Persistent Assistants to Communicate, Integrate, and Automate Multidisciplinary Design and Analysis / 90
John Haymaker, Ben Suter, John Kunz, and Martin Fischer
A Context-Sensitive and User-Centric Approach to Developing Personal Assistants / 98
Marie desJardins, Eric Eaton, and Kiri Wagstaff
Architectures and Applications
Teams of Engineers and Agents for Managing the Recovery of Water / 101
Debra Schreckenghost, R. Peter Bonasso, Mary Beth Hudson, Cheryl Martin, Tod Milam, and Carroll Thronesbery
Managing and Instructing Information Assistants / 109
Jane T. Malin, Arthur Molin, and Carroll Thronesbery
SOLO: A Cognitive Orthosis / 117
Richard Simpson, Edmund LoPresti, Debra Schreckenghost, Ned Kirsch, and Steve Hayashi
Task Analyses and Brainstorming
Urban Warfare in 2015: The Role of Persistent Assistants in Achieving Capabilities for Small Unit Precision Combat / 122
Richard H. Van Atta
Conversational Assistant for In-car Task Management / 129
Joseph Reisinger, Mahesh Viswanathan, and Liam Comerford
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