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AAAI 2007 Spring Symposium
Interaction Challenges for Intelligent Assistants
26-28 March 2007, Stanford University, CA, USA
Latest Updates
Slides: Thank you to all presenters. Presented slides are
available, linked from the symposium schedule.
Proceedings: The proceedings of the symposium are published
by AAAI Press as Technical
Report SS-07-04. The report will be available online soon in the AAAI
Digital Library. (Proceedings copyright ©2007 AAAI.)
Keynote speakers: We are very pleased that Henry Lieberman of the MIT
Media Laboratory has joined Brad
Myers of the Human Computer Interaction Institute, Carnegie Mellon
University as the keynote speakers at the symposium. Henry will speak
on "Interaction Challenges for Agents with Common Sense", while Brad will
address "A User Acceptance Equation for Intelligent Assistants".
Introduction
In an increasingly complex world, a new wave of intelligent artificial
assistants have the potential to simplify and amplify our everyday personal
and professional lives. These assistants will help us in mundane tasks
from purchasing groceries to organizing meetings; in background tasks from
providing reminders to monitoring our health; and in complex, open-ended
tasks from writing a report to locating survivors in a collapsed building.
Some will offer tutelage or provide recommendations. Whether robotic
embodiments or software processes, these assistive agents will help us
manage our time, budgets, knowledge, and workflow as they assist us in our
houses, offices, cars, and public spaces.
To realize the vision of truly useful assistants, four broad
requirements must be met. First, our assistants must be personalized: they
must learn and be advised about our preferences and adapt to our way of
working. Second, they must be capable of learning from us new methods to
solve existing or novel problems in their application domain, and to
correct their behaviour when mistakes are made. Third, as a consequence,
our intelligent assistants must engender our trust over an extended period
of time, because their behaviour will materially affect our interests and
well-being (and even our own behaviour). Fourth, they must become our
partners, able to engage in joint, collaborative problem solving and
decision making.
In all these capabilities, an essential aspect of the success of our
intelligent assistants is their interaction with us and with other humans
and agents in natural ways that are no more obtrusive than necessary.
Moreover, this interaction must be uniform and coherent over the various
functions of the assistant, and be sensitive to the user's available time
and cognitive focus, the interaction conditions and modalities, and
subjective factors such as the user's mood.
Description
This symposium will bring together practitioners and researchers of
artificial intelligence, human-computer interaction, cognitive science,
robotics, assistive and agent technologies, and fields that address complex
socio-technical systems. We aim to foster interactions among this highly
interdisciplinary set of participants by including presentations from
distinct perspectives and by allocating ample time for discussions.
Developing intelligent assistants is a challenge that demands
collaboration across disciplines. Designing interaction with these
assistants challenges us at the level both of fundamental concepts in
human-agent communication and of applied research in system building.
Hence, from a multi-disciplinary perspective, the symposium will identify
the critical issues raised by interaction with personal assistants, the
specific challenges faced, and the current state of the art. The ultimate
goal is to progress towards the most useful paradigms, methodologies, and
implementations for human interaction with intelligent artificial
assistants.
Specific topics of interest include, but are not limited to:
Collaborative Problem Solving: conversational case-based
reasoning; failure recovery; introspection; joint intentions and intention
management; knowledge capture; learning for the assistive agent; managing
local autonomy in collaborative activities; mixed-initiative interaction
and initiative sharing; negotiation and delegation; planning, and task and
plan recognition; proactive and opportunistic actions; user modelling over
time;
Interaction Principles and Modalities: dialogue management
and discourse grammars; human-computer collaboration principles for agent
systems; human-robot interaction; imitating human behaviour; modalities of
interaction; supporting users with impaired capabilities; verbal and
non-verbal interaction;
Trust: advisability and adjustable autonomy; engendering
trust and influencing behaviour over extended operation; ethical, legal,
and safety issues for human assistants; explanation; personalization;
psychological factors; relational agents; robust and secure agents;
Studies and Comparisons of Systems: agent interfaces and
architectures; case studies of deployed systems; characterization of
domains amenable to assistive agents; comparisons of systems and
architectures; evaluation methodologies, metrics, and measures; novel
approaches and applications; user studies.
A joint session will be shared with each of two co-located symposia:
Multidisciplinary Collaboration for Socially Assistive Robotics
and Intentions for Intelligent Systems.
Accepted Papers
Accepted papers will be presented according to the symposium schedule; presented slides are available
on that page.
| A
Decision-Theoretic Model of Assistance: Evaluation, Open Problems and
Extensions (PDF) |
Sriraam Natarajan, Kshitij
Judah, Prasad Tadepalli, Alan Fern |
| A Meeting Browser that
Learns (PDF) |
Patrick Ehlen, Matthew Purver, John Niekrasz |
| Adaptive
Reification for Intelligent Assistants |
L. F. Gunderson and J. P.
Gunderson |
| An Adaptive, Emotional,
and Expressive Reminding System (PDF) |
Nadine Richard and Seiji Yamada |
| An Intelligent
Discussion-Bot for Guiding Student Interactions in Threaded Discussions (PDF) |
Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng |
| Bringing
the User Back into Scheduling: Two Case Studies of Interaction with
Intelligent Scheduling Assistants (PDF) |
Pauline
Berry, Bart Peintner, Neil Yorke-Smith |
| Effective
Interaction Strategies for Adaptive Reminding (PDF) |
Julie S. Weber and Martha
E. Pollack |
| Effectiveness of Mobile
Recommender Systems for Tourist Destinations: A User Evaluation (PDF) |
Marko Modsching, Ronny Kramer, Klaus ten Hagen, Ulrike Gretzel |
| Enabling Trust with
Behavior Metamodels (PDF) |
Scott A. Wallace |
| Engendering
Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair
Ratings (PDF) |
Jie Zhang and Robin Cohen |
| Enhancing Interaction
with To-Do Lists: Using Artificial Assistants (PDF) |
Yolanda Gil and Timothy Chklovski |
| Explaining Task
Processing in Cognitive Assistants That Learn (PDF) |
Deborah L. McGuinness,
Alyssa Glass, Michael Wolverton, Paulo Pinheiro da Silva |
| Eye Gaze for Attention
Prediction in Multimodal Human-Machine Conversation (PDF) |
Zahar Prasov, Joyce Y. Chai, Hogyeong Jeong |
| Implications
of Adaptive vs. Adaptable UIs on Decision Making: Why "Automated
Adaptiveness" is Not Always the Right Answer (PDF) |
Christopher A. Miller,
Harry Funk, Robert Goldman, John Meisner, Peggy Wu |
| Improving Intelligent
Assistants for Desktop Activities (PDF) |
Simone Stumpf, Margaret Burnett, Tom Dietterich |
| Integrating
Multiple Representations of Spatial Knowledge for Mapping, Navigation, and
Communication (PDF) |
Patrick Beeson, Matt
MacMahon, Joseph Modayil, Aniket Murarka,Benjamin Kuipers, Brian Stankiewicz |
| Intent Recognition for
Human-Robot Interaction (PDF) |
Andreas G. Hofmann and Brian C. Williams |
| Involving Intelligent
Assistants in Active Human Communication (PDF) |
Donald J. Patterson |
| Learning Interaction
Between Conflicting Human Agents and Their Assistants (PDF) |
Boris Galitsky and Boris Kovalerchuk |
| Modeling Human-Agent
Interaction with Active Ontologies (PDF) |
Didier
Guzzoni, Adam Cheyer, Charles Baur |
| Supporting Air Traffic
Flow Management with Agents (PDF) |
Shawn R. Wolfe |
| Supporting Interaction in
the ROBOCARE Intelligent Assistive Environment (PDF) |
Amedeo Cesta, Gabriella
Cortellessa, Federico Pecora, Riccardo Rasconi |
| Task Learning by
Instruction: Benefits and Challenges for Intelligent Interactive Systems (PDF) |
Jim Blythe, Prateek Tandon, Mandar Tillu |
| The Need for Assistants
that Monitor Cognitive Abilities (PDF) |
Bart Peintner and William Jarrold |
| The Smart Personal Assistant: An Overview (PDF) |
Wayne Wobcke, Anh Nguyen, Van Ho, Alfred Krzywicki |
| Towel: Towards an
Intelligent To-Do List (PDF) |
Kenneth Conley and James Carpenter |
| User Constructed Data
Integration via Mixed-Initiative Design (PDF) |
Anthony Tomasic, John Zimmerman, Ian Hargrave |
| VizScript: Visualizing
Complex Interactions in Multi-Agent Systems (PDF) |
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro
Szekely |
| When Is Assistance
Really Helpful? (PDF) |
Wayne Iba |
| Why
and How to Model Multi-Modal Interaction for a Mobile Robot Companion (PDF) |
Shuyin Li and Britta Wrede |
Symposium Proceedings
The proceedings of the symposium will be published as a AAAI Technical
Report.
Submission Information
Potential participants are invited to submit either a full paper (up to
eight pages) addressing these and related questions, or a position paper
(up to two pages) outlining their relevant research activities and how they
would like to contribute to the symposium. Submissions will be judged by
at least two referees on technical merit and on potential to provoke active
discussions.
Submissions, in PDF format, should be sent no later than 23 October 2006
to nysmith AT ai.sri.com (remove the spaces) using the subject
line "SSS'07 Submission". All submissions should conform to the AAAI style
format. Proceedings of the symposium will be published as an AAAI Technical
Report.
Download the ASCII Call for Participation.
Important Dates
| 23 October 2006 | Submission deadline (extended) |
| 20 November 2006 | Notice of acceptance |
| 1 December 2006 | Graduate student travel grant applications |
| 26 January 2007 | Camera-ready
versions due on the AAAI website |
| 26 January 2007 | Fax "Permission to Distribute" forms to AAAI at +1 650 321-4457 |
| 9 February 2007 | Registration deadline |
| 2 March 2007 | Final (open) registration deadline |
| 26-28 March 2007 | Spring Symposium Series, Stanford University |
Student Funding
The symposium offers limited funds to assist with travel expenses for
graduate students who have their submissions accepted. To be considered
for partial funding, please send an application to the symposium chair by
1 December 2006, including:
- your academic resume;
- one paragraph statement of interest;
- one paragraph statement of support written by your supervisor;
- detailed budget for your travel expenses.
Organizing Committee
- Pauline Berry, SRI International
- Timothy Bickmore, Northeastern University
- Mihai Boicu, George Mason University
- Justine Cassell, Northwestern University
- Ed H. Chi, Palo Alto Research Center
- Michael T. Cox, BBN Technologies
- John Gersh, Johns Hopkins University Applied Physics Laboratory
- Jihie Kim, USC/Information Sciences Institute
- Pragnesh Jay Modi, Drexel University
- Donald J. Patterson, University of California at Irvine
- Debra Schreckenghost, NASA Johnson Space Center/TRACLabs, Inc.
- Richard Simpson, University of Pittsburgh
- Stephen F. Smith, Carnegie Mellon University
- Sashank Varma, Stanford
- Neil Yorke-Smith, SRI International (chair)
Last updated: 070407
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