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groupTime: preference based group scheduling

Published: 22 April 2006 Publication History

Abstract

As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challenges facing groupware is effective asynchronous group scheduling (GS). This paper presents a lightweight interaction model for GS that can extend its reach beyond users of current group calendaring solutions. By expressing availability in terms of preferences, we create a flexible framework for GS that preserves plausible deniability while exerting social pressure to encourage honesty among users. We also propose an ontology that enables us to model user preferences with machine learning, predicting user responses to further lower cognitive load. The combination of visualization/direct manipulation with machine learning allows users to easily and efficiently optimize meeting times. We also suggest resulting design implications for this class of intelligent user interfaces.

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cover image ACM Conferences
CHI '06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2006
1353 pages
ISBN:1595933727
DOI:10.1145/1124772
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 April 2006

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Author Tags

  1. group calendaring
  2. group scheduling
  3. intelligent user interfaces
  4. machine learning
  5. supervised learning

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CHI06
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CHI06: CHI 2006 Conference on Human Factors in Computing Systems
April 22 - 27, 2006
Québec, Montréal, Canada

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2019)Task Duration EstimationProceedings of the Twelfth ACM International Conference on Web Search and Data Mining10.1145/3289600.3290997(636-644)Online publication date: 30-Jan-2019
  • (2017)Calendar.helpProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025780(2382-2393)Online publication date: 2-May-2017
  • (2017)Evaluating intelligent knowledge systemsKnowledge and Information Systems10.1007/s10115-016-1011-352:2(379-409)Online publication date: 1-Aug-2017
  • (2015)Information sharing, scheduling, and awareness in community gardening collaborationProceedings of the 7th International Conference on Communities and Technologies10.1145/2768545.2768556(79-88)Online publication date: 27-Jun-2015
  • (2015)Negotiation strategies for meeting scheduling conflict management2015 International Conference on Science in Information Technology (ICSITech)10.1109/ICSITech.2015.7407817(276-281)Online publication date: Oct-2015
  • (2014)The doing of doing stuffProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2556288.2557388(119-128)Online publication date: 26-Apr-2014
  • (2013)Doodle around the worldProceedings of the 2013 conference on Computer supported cooperative work10.1145/2441776.2441784(45-54)Online publication date: 23-Feb-2013
  • (2011)PTIMEACM Transactions on Intelligent Systems and Technology10.1145/1989734.19897442:4(1-22)Online publication date: 15-Jul-2011
  • (2010)"Luckily, I don't need it"Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries10.1145/1868914.1868940(198-206)Online publication date: 16-Oct-2010
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