Selective sampling of user state based on expected utility

Details Selective sampling of user state based on expected utility Selective sampling of user state based on expected utility

2011-07-12

2011-07-12

Proctor, Jason (Department: 2123)

Data processing: structural design, modeling, simulation, and em

Simulating nonelectrical device or system

Reexamination Certificate

active

07979252

ABSTRACT:
Model enhancement architecture that provides selective sampling of data to enhance model performance where model testing is deemed to be poor. Sampling can include direct interaction with the user while the user is logged-in to the computing system. The system can be used to infer a computer user's current interruptability based on computer activity and relevant contextual information. Personalized models can then be created that are utilized to determine a cost of interruption and an expected utility. A modeling component is provided that builds and runs models based on data. The data can be any type of data such as application data, user profile data, tracking data, user state data, user situation data, and so on. A sampling component samples the data based on failure analysis of the model. The architecture is a utility-centric approach to gathering data to maximally enhance the current model.

REFERENCES:
patent: 5493692 (1996-02-01), Theimer et al.
patent: 5544321 (1996-08-01), Theimer et al.
patent: 5555376 (1996-09-01), Theimer et al.
patent: 5603054 (1997-02-01), Theimer et al.
patent: 5611050 (1997-03-01), Theimer et al.
patent: 5812865 (1998-09-01), Theimer et al.
patent: 6353398 (2002-03-01), Amin et al.
patent: 6466232 (2002-10-01), Newell et al.
patent: 6513046 (2003-01-01), Abbott, III et al.
patent: 6549915 (2003-04-01), Abbott, III et al.
patent: 6672506 (2004-01-01), Swartz et al.
patent: 6741188 (2004-05-01), Miller et al.
patent: 6747675 (2004-06-01), Abbott et al.
patent: D494584 (2004-08-01), Schlieffers et al.
patent: 6791580 (2004-09-01), Abbott et al.
patent: 6796505 (2004-09-01), Pellaumail et al.
patent: 6801223 (2004-10-01), Abbott et al.
patent: 6812937 (2004-11-01), Abbott et al.
patent: 6837436 (2005-01-01), Swartz et al.
patent: 6842877 (2005-01-01), Robarts et al.
patent: 7010501 (2006-03-01), Roslak et al.
patent: 7040541 (2006-05-01), Swartz et al.
patent: 7063263 (2006-06-01), Swartz et al.
patent: 7171378 (2007-01-01), Petrovich et al.
patent: 7195157 (2007-03-01), Swartz et al.
patent: 7233933 (2007-06-01), Horvitz et al.
patent: 7385501 (2008-06-01), Miller et al.
patent: 2001/0030664 (2001-10-01), Shulman et al.
patent: 2001/0040590 (2001-11-01), Abbott et al.
patent: 2001/0040591 (2001-11-01), Abbott et al.
patent: 2001/0043231 (2001-11-01), Abbott et al.
patent: 2001/0043232 (2001-11-01), Abbott et al.
patent: 2002/0032689 (2002-03-01), Abbott, III et al.
patent: 2002/0044152 (2002-04-01), Abbott, III et al.
patent: 2002/0052930 (2002-05-01), Abbott et al.
patent: 2002/0052963 (2002-05-01), Abbott et al.
patent: 2002/0054130 (2002-05-01), Abbott, III et al.
patent: 2002/0054174 (2002-05-01), Abbott et al.
patent: 2002/0078204 (2002-06-01), Newell et al.
patent: 2002/0080155 (2002-06-01), Abbott et al.
patent: 2002/0080156 (2002-06-01), Abbott et al.
patent: 2002/0083025 (2002-06-01), Robarts et al.
patent: 2002/0083158 (2002-06-01), Abbott et al.
patent: 2002/0087525 (2002-07-01), Abbott et al.
patent: 2002/0099817 (2002-07-01), Abbott et al.
patent: 2003/0046401 (2003-03-01), Abbott et al.
patent: 2003/0154476 (2003-08-01), Abbott, III et al.
patent: 2004/0201500 (2004-10-01), Miller et al.
patent: 2005/0034078 (2005-02-01), Abbott et al.
patent: 2005/0266858 (2005-12-01), Miller et al.
patent: 2005/0272442 (2005-12-01), Miller et al.
patent: 2006/0010206 (2006-01-01), Apacible et al.
patent: 2006/0019676 (2006-01-01), Miller et al.
patent: 2007/0006098 (2007-01-01), Krumm et al.
patent: 2007/0038438 (2007-02-01), Cho et al.
patent: 2008/0090591 (2008-04-01), Miller et al.
patent: 2008/0091537 (2008-04-01), Miller et al.
patent: 2008/0161018 (2008-07-01), Miller et al.
patent: 2009/0006297 (2009-01-01), Horvitz et al.
patent: 2009/0055752 (2009-02-01), Abbott et al.
patent: 2010/0262573 (2010-10-01), Abbott et al.
patent: 9800787 (1998-01-01), None
patent: 03012704 (2003-02-01), None
patent: 1020070049416 (2007-05-01), None
A. Kapoor et al., “Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning”, Jan. 2007, Twentieth International Joint Conference on Artificial Intelligence, six unnumbered pages.
N. Roy et al., “Toward Optimal Active Learning Through Sampling Estimation of Error Reduction”, 2001, Eighteenth International Conference on Machine Learning, eight unnumbered pages.
Vijay S. Iyengar et al., “Active Learning using Adaptive Resampling”, 2000, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 91-98.
Ashish Kapoor et al., “Principles of Lifelong Learning for Predictive User Modeling,” Jul. 25, 2007, Proceedings of 11th International Conference on User Modeling, Lecture Notes in Computer Science, vol. 4511, Springer, pp. 37-46.
Andy Harter, et al., A Distributed Location System for the Active Office, IEEE Network, 1994, pp. 62-70.
Guanling Chen, et al., A Survey of Context-Aware Mobile Computing Research, Dartmouth Computer Science Technical Report, 2000, 16 pages.
William Noah Schilt, A System Architecture for Context-Aware Mobile Computing, Columbia University, 1995, 153 pages.
Mike Spreitzer, et al., Providing Location Information in a Ubiquitous Computing Environment, SIGOPS '93, 1993, pp. 270-283.
Marvin Theimer et al., Operating System Issues for PDAs, In Fourth Workshop on Workstation Operating Systems, 1993, 7 pages.
Roy Want, Active Badges and Personal Interactive Computing Objects, IEEE Transactions on Consumer Electronics, 1992, 11 pages, vol. 38—No. 1.
Bill N. Schilit, et al.. The ParcTab Mobile Computing System, IEEE WWOS-IV, 1993, 4 pages.
Bill Schilit, et al., Context-Aware Computing Applications, In Proceedings of the Workshop on Mobile Computing Systems and Applications, Dec. 1994. pp. 85-90.
Bill N. Schilit, et al., Customizing Mobile applications, Proceedings USENIX Symposium on Mobile and Location Independent Computing, Aug. 1993, 9 pages.
Mike Spreitzer, et al., Architectural Considerations for Scalable, Secure, Mobile Computing with Location Information, In the 14th International Conference on Distributed Computing Systems, Jun. 1994, pp. 29-38.
Mike Spreitzer et al., Scalable, Secure, Mobile Computing with Location Information, Communications of the ACM, Jul. 1993, 1 page, vol. 36—No. 7.
Roy Want, et at., The Active Badge Location System, ACM Transactions on Information Systems, Jan. 1992, pp. 91-102, vol. 10— No. 1.
Mark Weiser, Some Computer Science Issues in Ubiquitous Computing, Communications of the ACM, Jul. 1993, pp. 75-84, vol. 36—No. 7.
M. Billinghurst, et al., An Evaluation of Wearabe Information Spaces, Proceedings of theVirtual Reality Annual International Symposium, 1998, 8 pages.
Bradley J. Rhodes, Remembrance Agent: A continuously running automated information retrieval system, The Proceedings of the First International Conference on the Practical Application of Intelligent Agents and Multi Agent Technology, 1996, pp. 487-495.
Eric Horvitz, et al., In Pursuit of Effective Handsfree Decision Support: Coupling Bayesian Inference, Speech Understanding, and User Models, 1995, 8 pages.
Bradley J. Rhodes, The Wearable Remembance Agent: A System for Augmented Theory, The Proceedings of The First International Symposium on Wearable Computers, Oct. 1997, pp. 123-128.
Eric Horvitz, et al., Attention-Sensitive Alerting in Computing Systems, Microsoft Research, Aug. 1999.
Bill N. Schilit, et al., Disseminationg Active Map Information to Mobile Hosts, IEEE Network, 1994, pp. 22-32, vol. 8—No. 5.
Mark Billinghurst, et al., Wearable Devices: New Ways to Manage Information, IEEE Computer Society, Jan. 1999, pp. 57-64.
Thad Eugene Starner, Wearable Computing and Contextual Awareness, Massachusetts Institute of Technology, Jun. 1999, 248 pages.
Bradley J. Rhodes, The Wearable Remembrance Agent: A System for Augmented Memory, Personal Technologies Journal Special Issue on Wearable Computing, 1997, 12 pages.
Workshop on Wearable Computing Systems, Aug. 19-21, 1996, 3 pages.
Mark Billinghurst, Research Directions in Wearable Computing

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