Contextual responses based on automated learning techniques

Data processing: presentation processing of document – operator i – Operator interface – Help presentation

Reexamination Certificate

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C715S740000, C715S734000, C715S744000, C700S065000, C700S066000

Reexamination Certificate

active

06842877

ABSTRACT:
Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user's current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.

REFERENCES:
patent: 4916441 (1990-04-01), Gombrich
patent: 5032083 (1991-07-01), Friedman
patent: 5201034 (1993-04-01), Matsuura et al.
patent: 5208449 (1993-05-01), Eastman et al.
patent: 5214757 (1993-05-01), Mauney et al.
patent: 5227614 (1993-07-01), Danielson et al.
patent: 5335276 (1994-08-01), Thompson et al.
patent: 5416730 (1995-05-01), Lookofsky
patent: 5470233 (1995-11-01), Fruchterman et al.
patent: 5493692 (1996-02-01), Theimer et al.
patent: 5535323 (1996-07-01), Miller et al.
patent: 5544321 (1996-08-01), Theimer et al.
patent: 5555376 (1996-09-01), Theimer et al.
patent: 5559520 (1996-09-01), Barzegar et al.
patent: 5568645 (1996-10-01), Morris et al.
patent: 5601435 (1997-02-01), Quy
patent: 5603054 (1997-02-01), Theimer et al.
patent: 5611050 (1997-03-01), Theimer et al.
patent: 5642303 (1997-06-01), Small et al.
patent: 5646629 (1997-07-01), Loomis et al.
patent: 5719744 (1998-02-01), Jenkins et al.
patent: 5726660 (1998-03-01), Purdy et al.
patent: 5751260 (1998-05-01), Nappi et al.
patent: 5781913 (1998-07-01), Felsenstein et al.
patent: 5790974 (1998-08-01), Tognazzini
patent: 5798733 (1998-08-01), Ethridge
patent: 5812865 (1998-09-01), Theimer et al.
patent: 5852814 (1998-12-01), Allen
patent: 5873070 (1999-02-01), Bunte et al.
patent: 5878274 (1999-03-01), Kono et al.
patent: 5902347 (1999-05-01), Backman et al.
patent: 5910799 (1999-06-01), Carpenter et al.
patent: 5938721 (1999-08-01), Dussell et al.
patent: 5948041 (1999-09-01), Abo et al.
patent: 5959611 (1999-09-01), Smailagic et al.
patent: 5991687 (1999-11-01), Hale et al.
patent: 5995956 (1999-11-01), Nguyen
patent: 6023729 (2000-02-01), Samuel et al.
patent: 6047301 (2000-04-01), Bjorklund et al.
patent: 6064943 (2000-05-01), Clark, Jr. et al.
patent: 6108197 (2000-08-01), Janik
patent: 6127990 (2000-10-01), Zwern
patent: 0823 813 (1998-02-01), None
patent: 05260188 (1993-10-01), None
patent: 09091112 (1997-04-01), None
patent: WO 9008361 (1990-07-01), None
patent: WO 9703434 (1997-01-01), None
International Search Report, Application No. PCT/US01/10599, Nov. 28, 2002, 3 pages.
U.S. Appl. No. 09/724,777, Abbott et al., filed Nov. 28, 2000.
U.S. Appl. No. 09/724,799, Abbott et al., filed Nov. 28, 2000.
U.S. Appl. No. 09/724,892, Abbott et al., filed Nov. 28, 2000.
U.S. Appl. No. 09/724,893, Abbott et al., filed Nov. 28, 2000.
U.S. Appl. No. 09/724,894, Abbott et al., filed Nov. 28, 2000.
U.S. Appl. No. 09/724,932, Abbott et al., filed Nov. 28, 2000.
U.S. Appl. No. 09/724,949, Abbott et al., filed Nov. 28, 2000.
“‘Affective Understanding:’ Modeling and Responding to User Affect,” http://www.media.mit.edu/affect/AC_research/understanding.html, pp. 1-3 [Accessed Oct. 2, 1998].
“Alps GlidePoint,” http://www.alps.com/p17.html, p. 1 [Accessed Oct. 2, 1998].
“GyroPoint Technology,” http://www.gyration.com/html/gyropoint.html, pp. 1-3 [Accessed Oct. 2, 1998].
“Haptics,” http://www.ai.mit.edu/projects/handarm-haptics/haptics.html, pp. 1-2 [Accessed Oct. 2, 1998].
“Research Areas in Affective Computing,” http://www.media.mit.edu/affect/, p. 1 [Accessed Oct. 2, 1998].
“Research on Affective Pattern Recognition and Modeling,” http://www.media.mit.edu/affect/AC_research/recognizing.html, pp. 1-4 [Accessed Oct. 2, 1998].
“Research on Sensing Human Affect,” http://www.media.mit.edu/affect/AC_research/sensing.html, pp. 1-5 [Accessed Oct. 2, 1998].
“Smart Rooms,” http://vismod.www.media.mit.edu/vismod/demos/smartroom/, pp. 1-3 [Accessed Oct. 2, 1998].
“SmartDesk Home Page,” http://vismod.www.media.mit.edu/vismod/demos/smartdesk/, pp. 1-4 [Accessed Oct. 2, 1998].
“The MIT Wearable Computing Web Page,” http://wearables.www.media.mit.edu/projects/wearables/, pp. 1-3 [Accessed Oct. 2, 1998].
“Wearable Computer Systems for Affective Computing,” http://www.media.mit.edu/affect/AC_research/wearables.html, pp. 1-5 [Accessed Oct. 2, 1998].
Aoki, Hisashi et al., “Realtime Personal Positioning System for a Wearable Computer,” 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Bauer et al., “A Collaborative Wearable System with Remote Sensing,” University of Oregon, Feb. 1996.
Billinghurst, Mark and Thad Starner, “New Ways to Manage Information,”IEEE, pp. 57-64, Jan. 1999.
Bowskill, J. et al., “Wearable Location Mediated Telecommunications; A First Step Towards Contextual Communication,” 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Dey, Anind K. et al., “The Conference Assistant: Combining Context-Awareness with Wearable Computing,” 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Finger et al., “Rapid Design and Manufacture of Wearable Computers,” Communication of the ACM, vol. 39, No. 2, Feb. 1996, pp. 63-68.
Golding, Andrew and Neal Lesh, “Indoor Navigation Using a Diverse Set of Cheap, Wearable Sensors,” 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Hull et al., “Towards Situated Computing,” Hewlett-Packard Laboratories, HPL-97-66 (1997).
Kirsch, Dana, “The Sentic Mouse: A tool for measuring emotional valence,” http://www.media.mit.edu/affect/AC_research/projects/sentic_mouse.html, pp. 1-2 [Accessed Oct. 2, 1998].
Kortuem et al., “Context-Aware, Adaptive Wearable Computers as Remote Interfaces to ‘Intelligent’ Environments,” University of Oregon, Oct. 1998.
Kortuem, Gerd, “When Cyborgs Meet: Building Communities of Cooperating Wearable Agents,” 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Lashkari, Yezdi et al., “Collaborative Interface Agents,” Proceedings of AAAI '94 Conference, Seattle, Washington, Aug. 1994.
Lehikoinen, Juha et al., “MEX: A Distributed Software Architecture for Wearable Computers,” 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Leonhardi, Alexander et al., Virtual Information Towers—A Metaphor for Intuitive, Location-Aware Information Access in a Mobile Environment, 3rdInternational Symposium on Wearable Computers, San Francisco, California, Oct. 18-19, 1999.
Lunt, Teresa F. et al., “Knowledge-Based Intrusion Detection,” Proceedings of the Annual Artificial Intelligence Systems in Government Conference, IEEE Comp. Soc. Press, vol. Conf. 4, 1989, pp. 102-107.
Maes, Pattie, “Agents That Reduce Work and Information Overload,” Communications of the ACM, vol. 37, No. 7, Jul. 1994.
Mann, Steve, “‘Smart Clothing’: Wearable Multimedia Computing and ‘Personal Imaging’ to Restore the Technological Balance Between People and Their Environments”, ACM Multimedia, Nov. 1996, pp. 163-174.
Metz, Cade, “MIT: Wearable PCs, Electronic Ink, and Smart Rooms,&#x

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