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Tim Paek
Researcher
Machine Learning and Applied Statistics
Microsoft Research
My research passion is to foster and improve human interaction with automated systems, and in particular, those capable of engaging in conversational dialogue.
Systems that use speech as the primary means of communications go by various names, such as spoken dialogue systems (SDS), interactive voice response systems (IVR),
voice user interfaces (VUI), and speech applications.
All of these systems depend on the fundamental task of dialogue management, which concerns what actions or
responses the system should take next. Because systems may be uncertain about what they heard, believe, and even what users might believe, I have focused
my research on incorporating uncertainty into dialogue management.
Furthermore, because human beings, without necessarily having perfect speech recognition,
seem to be able to manage uncertainty in a conversation, I have focused on endowing systems with better error handling, both before and after they
happen.
Finally, because systems, like human beings, should be continually learning from their experiences and
interactions, I have also focused on applying various kinds of machine learning methods, but only when it makes sense to do so. In many cases, I have found
that good design can overcome tough engineering problems. As such, I have a strong interest in human-computer interaction as well as
empirical and experimental validation of interaction techniques.
For all of the research I do, I aspire to have a practical impact on real-time, deployable systems. Because I strongly believe that mobile speech is where
dialogue technology is likely to impact our everyday lives the most, I helped ship the latest
Voice Command 1.6 product, a command-and-control speech
application for mobile devices. Many of my papers in fact focus on mobile command-and-control interaction.
The following is a list of topics I have written papers on with respect to automated systems: spoken dialogue management, dialogue evaluation, user modeling,
language modeling, personalization, mobile speech, voice user interface, reinforcement learning, decision-theory, and bayesian networks.
I received a Ph.D. in Cognitive Psychology and a M.S. in Statistics from
Stanford University in 2001 under
Herbert H. Clark.
Prior to that, I received a B.A. in Philosophy from the University of Chicago.
A complete C.V. is available upon request.
Journal Papers
- T. Paek & D. Chickering. Improving command and control speech recognition on mobile devices: Using
predictive user models for language modeling. User Modeling and User-Adapted Interaction,
Special Issue on Statistical and Probabilistic Methods for User Modeling, 2007, 17(1-2): 93-117.
- D. Chickering & T. Paek. Personalizing influence diagrams: Applying online learning
strategies to dialogue management. User Modeling and User-Adapted Interaction,
Special Issue on Statistical and Probabilistic Methods for User Modeling, 2007, 17(1-2): 71-91.
- E. Horvitz & T. Paek. Complementary computing: Policies for transferring callers
from dialog systems to human receptionists. User Modeling and User-Adapted Interaction,
Special Issue on Statistical and Probabilistic Methods for User Modeling, 2007, 17(1-2): 159-182.
- T. Paek & D. Chickering. Evaluating the Markov assumption in Markov decision processes for
spoken dialogue management. Language Resources and Evaluation,
Special Issue on Data Resources, Evaluation and Dialogue Interaction, 2006, 40(1): 47-66.
- E. Horvitz, C. Kadie, T. Paek, D. Hovel. Models of attention in computing and communication: From principles to applications.
Communications of the ACM, 2003, 46(3): 52-59.
Refereed Conference, Workshop & Symposium Papers
- T. Paek, Y. Ju & C. Meek.
People Watcher: A game for eliciting human-transcribed data for automated directory assistance.
Proceedings of Interspeech, 2007. ELRA Best Paper Award.
- A. Kun, T. Paek & Z. Medenica.
The effect of speech interface accuracy on driving performance.
Proceedings of Interspeech, 2007.
- J. Sherwani, D. Yu, T. Paek, M. Czerwinski & A. Acero.
VoicePedia: Towards speech-based access to unstructured information.
Proceedings of Interspeech, 2007.
- T. Paek, S. Gandhe, D. Chickering & Y. Ju.
Handling out-of-grammar commands in mobile speech interaction using backoff filler models.
Proceedings of the ACL Workshop on Grammar-Based Approaches to Spoken Language Processing (SPEECHGRAM), 2007.
- T. Paek. Toward evaluation that leads to best practices: Reconciling
dialogue evaluation in research and industry. Proceedings of the NAACL-HLT Workshop on Bridging the Gap:
Academic and Industrial Research in Dialog Technologies, 2007, pp. 40-47.
- T. Paek & D. Chickering. The Markov assumption in spoken dialogue management.
Proceedings of the 6th SIGDIAL Workshop on Discourse and Dialogue, 2005.
- T. Paek & R. Chandrasekar. Windows as a second language: An overview of the jargon project.
Proceedings of the First International Conference on Augmented Cognition, 2005.
- T. Paek & E. Horvitz. Optimizing automated call routing by integrating spoken dialog models with queuing models.
Proceedings of HLT-NAACL, 2004, pp. 41-48.
- T. Paek, S. Dumais & R. Logan. WaveLens: A new view onto internet search results.
Proceedings of Computer-Human Interaction (CHI), 2004, pp. 727-734.
- T. Paek, M. Agrawala, S. Basu, S. Drucker, T. Kristjansson, R. Logan, K. Toyama & A. Wilson.
Toward universal mobile interaction for shared displays.
Proceedings of Computer Supported Cooperative Work (CSCW), 2004, pp. 266-269.
- T. Paek. Toward a taxonomy of communication errors.
ISCA Workshop on Error Handling in Spoken Dialogue Systems, 2003, pp. 53-58.
- T. Paek & E. Horvitz. On the utility of decision-theoretic hidden subdialog.
ISCA Workshop on Error Handling in Spoken Dialogue Systems, 2003, pp. 95-100.
- T. Paek. Empirical methods for evaluating dialog systems.
ACL 2001 Workshop on Evaluation Methodologies for Language and Dialogue Systems, 2001, pp. 3-10.
- E. Horvitz & T. Paek. Harnessing models of users' goals to mediate clarification dialog in spoken language systems.
Proceedings of the 8th International Conference on User Modeling (UM), 2001, pp. 3-13.
- T. Paek & E. Horvitz. Conversation as action under uncertainty.
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (UAI), 2000, pp. 455-464.
- T. Paek, E. Horvitz & E. Ringger. Continuous listening for unconstrained spoken dialog.
Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP), 2000.
- E. Horvitz & T. Paek. DeepListener: Harnessing expected utility to guide clarification dialog in spoken language systems.
Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP), 2000.
- T. Paek & E. Horvitz. Uncertainty, utility, and misunderstanding: A decision-theoretic perspective on grounding in conversational systems.
AAAI Fall Symposium on Psychological Models of Communication in Collaborative Systems, 1999.
- E. Horvitz & T. Paek. A computational architecture for conversation.
Proceedings of the 7th International Conference on User Modeling (UM), 1999, pp. 201-210.
Miscellaneous
I currently serve on the Scientific Advisory Committee of (SIGDIAL), the Special Interest Group on
Discourse and Dialogue for ACL and ISCA.
I am also on the Editorial Board of the Journal of Dialogue Systems. Even though I work in industry, I enjoy interacting with Ph.D.
students and am on the Advisory Committee for the
Young Researchers' Roundtable on Spoken Dialogue Systems.
In the past, I co-organized the NAACL 2001 Workshop on Adaptation in
Dialogue Systems.
Professional activities for 2007:
Last updated: April, 2007
E-mail: timpaek at microsoft dot com
Directions: Microsoft Research
U.S.Mail: One Microsoft Way, Redmond WA,
98052-6399, USA
Tel: 425.703.8647
Fax: 425.706.7329 (This is the main MS FAX number so please use "Attention: Tim Paek") |