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Recognizing and using goals in event management

Published: 04 April 2009 Publication History

Abstract

Personal event management involves planning when, where and how events should occur, making sure the event's prerequisites are satisfied, and developing contingencies for when things go wrong. Conventional calendar and project management tools, however, only record and visualize explicit human decisions regarding event specifics.
We present Event Minder, a calendar program that takes into account the goals for which the events are scheduled. Users can input descriptions of events in natural language, mixing high-level objectives, concrete time and place decisions, and omit "obvious" common sense details. A commonsense knowledge base provides sensible defaults, and machine learning refines these defaults with experience. We can make recommendations for alternative plans, including alternatives that satisfy higher-level goals in different ways as well as those that meet immediate constraints. Our current system covers dining-related events, integrating commonsense with domain knowledge about specific restaurants, bars and hotels.

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References

[1]
Berry, Pauline M., Cory Albright, Emma Bowring, Ken Conley, Kenneth Nitz, Jonathan P. Pearce, Bart Peintner, Shahin Saadati, Milind Tambe, Tomás Uribe, and Neil Yorke-Smith. Conflict Negotiation Among Personal Calendar Agents. In Proceedings AAMAS'06, May 8--12, 2006, Hakodate, Hokkaido, Japan.
[2]
Faulring, A. and Myers, B. A. Enabling Rich Human-Agent Interaction for a Calendar Scheduling Agent. Extended Abstracts CHI 2005, ACM Press (2005).
[3]
Gervasio, Melinda T., Michael D. Moffitt, Martha E. Pollack, Joseph M. Taylor, and Tomas E. Uribe., Active Preference Learning for Personalized Calendar Scheduling Assistance. In Proceedings of the 2005 International Conference on Intelligent User Interfaces, 2005.
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Gil, Yolanda, and Varun Ratnakar, Automating To-Do Lists for Users: Interpretation of To-Dos for Selecting and Tasking Agents. In Proceedings of the Twenty-Third Conference of the Association for the Advancement of Artificial Intelligence (AAAI-08), Chicago, IL, July 2008.
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Lieberman, Henry, and José Espinosa, A Goal-Oriented Interface for Consumer Electronics. In Proceedings of the 2006 International Conference on Intelligent User Interfaces, Sydney Australia, 2006.
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Liu, H, Lieberman, H and Selker, T. GOOSE: Goal-Oriented Search Engine With Commonsense. In Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, Second International Conference, (AH 02). (2002).
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Mitchell, T. M., Caruana, R., Freitag, D., McDermott, J., and Zabowski, D. Experience with a learning personal assistant. Communications of the ACM 37, 7 (1994).
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Mueller, E. T. A calendar with common sense. In Proceedings of the 2000 international conference on Intelligent User Interfaces, New York, NY, 2000.
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Stepp, R.E and Michalski, R.S. Conceptual clustering of structured objects: a goal-oriented approach. Artificial Intelligence. 28, 1 (1986), 43--69.

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  • (2024)Temaneki: Map-Based Collaboration Tool for Consensus-Building in Student-Run Festival Management TeamsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651013(1-8)Online publication date: 11-May-2024

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cover image ACM Conferences
CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems
April 2009
2470 pages
ISBN:9781605582474
DOI:10.1145/1520340
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 April 2009

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Author Tags

  1. PIM
  2. calendaring
  3. common sense
  4. event management
  5. user modeling

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CHI '09
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CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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View all
  • (2024)Temaneki: Map-Based Collaboration Tool for Consensus-Building in Student-Run Festival Management TeamsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651013(1-8)Online publication date: 11-May-2024

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