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Background:
People do not experience the world solely as an ordered sequence of events. The timing of our perceptions and behaviors has as much of an impact on our experiences as the nature of the events themselves. Yet many of the representations currently used to model human behavior do not incorporate explicit models of the temporal expression of these stimuli or actions. Dynamic behavior is often modeled sequentially in such a way that its temporal resolution is reduced and potential non-stationarity is ignored for the sake of computational efficiency (as in Markov state-based models of behavior), and/or causal mappings between observations and behavior are simplified to mitigate the sparseness of available datasets. Given that any artificial agent designed to interact with people will be dealing with intelligent partners with rich mental representations of time, are we using the appropriate representations?
The issue of timing can be even more critical when designing natural interactive social behaviors for robots or other synthetic characters. Human social behaviors are extremely dependent on a close feedback loop of simultaneous and coordinated activity between multiple interactors. Yet how to best represent these interdependencies and temporal relationships in order to produce interactive behaviors is just beginning to be explored and understood from a computational perspective. Speed, acceleration, tempo, and delay are concepts that AI and robotics researchers recognize as important in everything from motor control to verbal communication, but we do not yet possess a well-motivated framework for how these temporal considerations should be designed into our systems.
This workshop is oriented towards several different groups of researchers, including, but not limited to: computer scientists who use machine learning techniques to model human behavior, psychologists and neuroscientists who study social behavior, and designers of robots or computational artifacts that interact naturally with humans in real time. By bringing together members of these communities through a shared interest in temporal representations, our goal is to identify critical areas of study and promising techniques. Some of the central questions to be addressed are:
 | As researchers who study human interactive behavior, where do the common representations fall short? In what cases are they sufficient? |
| What representations should be developed or borrowed to better represent human behavior or deal with the challenges of interacting naturally with a person? |
| What do we know (e.g. from the social, cognitive, and behavioral sciences) about the timing of human behavior that we are not currently using? Which aspects of human behavior or social interaction are likely to be highly dependent on time? |
| What kinds of experiments in human-machine interaction could serve as testbeds (or eventually benchmarks) for the study of the role of timing? |
Accepted Papers:
Full Papers
Jonathan K. Alt and Stephen Lieberman
Modeling of Virtual Environments and Simulations Institute
Naval Postgraduate School
Exploring the Implications of Time in Discrete Event Social Simulations
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Sonia Chernova and Cynthia Breazeal
Massachussets Institute of Technology
Learning Temporal Plans from Observation of Human Collaborative Behavior
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Bastian Hartmann, Ingo Schwab, and Norbert Link
Institute of Applied Research
University of Applied Sciences Karlsruhe
Prototype Optimization for Temporarily and Spatially Distorted Time Series
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Guy Hoffman
Georgia Tech Center for Music Technology
Anticipation in Human-Robot Interaction
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Hatice Kose-Bagci, Frank Broz, Qiming Shen, Kerstin Dautenhahn, and Chrystopher L.Nehaniv
As Time Goes by: Representing and Reasoning About Timing in Human-Robot Interaction Studies
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David V. Lu, Annamaria Pileggiy, Chris Wilson, and William D. Smart
Washington University in St. Louis
What Can Actors Teach Robots About Interaction?
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Julie A. Shah, Brian C. Williams, and Cynthia Breazeal
Massachusetts Institute of Technology
Dynamic Execution of Temporal Plans for Temporally Fluid Human-Robot Teaming
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H. Joe Steinhauer, Sook-Ling Chua, Hans W. Guesgen, and Stephen Marsland
School of Engineering and Advanced Technology
Massey University
Utilising Temporal Information in Behaviour Recognition
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Pinar Wennerberg and Klaus Schulz
Center for Language and Information Technology
Ludwig-Maximillians-University, Munich
An Ontology of Socio-cultural Time Expressions
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Extended Abstracts
Frank Forster
Adaptive Systems Research Group
University of Hertfordshire
Representations of Time in Symbol Grounding
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Ian Horswill, Karl Fua, and Andrew Ortony
Northwestern University
Conflict and hesitancy in virtual actors
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Javier Snaider, Ryan McCall, and Stan Franklin
Computer Science Department & Institute for Intelligent Systems
The University of Memphis
The Immediate Present Train Model: Time Production and Representation for Cognitive Agents
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Hartmut Messerschmidt
Center for Computing and Communication Technologies (TZI)
Separating Moving Objects from Landmarks
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Eric M. Meisner and Selma Sabanovic
Johns Hopkins University
University of Indiana, Bloomington
Grounding Communication Without Prior Structure
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Richard Veale and Matthias Scheutz
Human-Robot Interaction Laboratory
Indiana University
Who needs time? Implicit time is sufficient for some HRI tasks
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Schedule:
The symposium will take place over two and a half days from Monday through Wednesday, March 22-24, 2010 at Stanford University, California
A detailed schedule can be found here: Session Schedule
Format:
This symposium will feature presentations (for long papers) and posters (for short papers) from accepted participants. Pending speaker availability, there will be invited talks or a panel discussion by experts from a variety of relevant fields.
Additionally, there will be break-out discussion sessions where members of special interest areas can discuss issues in greater depth and report their shared conclusions back to the symposium as a whole. Some potential breakout session topics are:
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Nonverbal communication
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Rhythmic or musical interaction
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Spoken dialogue
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Social decision-making
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User state modeling
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Interaction kinesics
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If you would like to suggest a topic for a breakout discussion or express interest in one of the listed topics, please include this information with your submission or mail it separately to the official symposium email address, aaai10sstime@googlemail.com.
Timeline:
June 26
Submissions open
October 12
Submissions closed
November 6
Notification of acceptance/rejection
December 7
Registration open
February 5
Invited participant registration deadline
February 26
Final (open) registration deadline
Organizing Committee:
Frank Broz (University of Hertfordshire)
Marek Michalowski (Carnegie Mellon University)
Emily Mower (University of Southern California)
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