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Automated message prioritization: making voicemail retrieval more efficient

Published: 20 April 2002 Publication History

Abstract

Navigating through new voicemall messages to find messages of interest is a time-consuming task, particularly for high-volume users. When checking messages under a time contraint (e.g., during a brief meeting break), users need to identify those messages requiring urgent action since not all messages can be processed in limited time. For these users, it would be useful if messages of greater urgency can be played first. For other users, distinguishing personal from business voicemail is a pressing need, to separate their home and business lives. We have successfully applied machine-learning techniques to lexical, acoustic, and contextual features of voicemail in order to sort messages based on urgency and on business-relevance.

References

[1]
Freund, Y., et al. An Efficient Boosting Algorithm for Combing Preferences. Proceedings of Machine Learning, 1998.
[2]
Hirschberg, J., et al. SCANMail: Browsing and Searching Speech Data by Content. Proceedings of EuroSpeech, 2001.
[3]
Whittaker, S., et al. All Talk and All Action: Strategies for Managing Voicemail Messages. Proceedings of CHI, 1998.

Cited By

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  • (2019)Urgent Voicemail Detection Focused on Long-term Temporal Variation2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)10.1109/APSIPAASC47483.2019.9023034(917-921)Online publication date: Nov-2019
  • (2007)Predicting individual priorities of shared activities using support vector machinesProceedings of the sixteenth ACM conference on Conference on information and knowledge management10.1145/1321440.1321513(515-524)Online publication date: 6-Nov-2007
  • (2007)A study of out-of-turn interaction in menu-based, IVR, voicemail systemsProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1240624.1240770(961-970)Online publication date: 29-Apr-2007
  • Show More Cited By

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cover image ACM Conferences
CHI EA '02: CHI '02 Extended Abstracts on Human Factors in Computing Systems
April 2002
488 pages
ISBN:1581134541
DOI:10.1145/506443
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2002

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Author Tags

  1. machine learning
  2. phone interface
  3. speech recognition
  4. voicemail

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CHI02
Sponsor:
CHI02: Human Factors in Computing Systems
April 20 - 25, 2002
Minnesota, Minneapolis, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2019)Urgent Voicemail Detection Focused on Long-term Temporal Variation2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)10.1109/APSIPAASC47483.2019.9023034(917-921)Online publication date: Nov-2019
  • (2007)Predicting individual priorities of shared activities using support vector machinesProceedings of the sixteenth ACM conference on Conference on information and knowledge management10.1145/1321440.1321513(515-524)Online publication date: 6-Nov-2007
  • (2007)A study of out-of-turn interaction in menu-based, IVR, voicemail systemsProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1240624.1240770(961-970)Online publication date: 29-Apr-2007
  • (2007)Accessing speech data using strategic fixationComputer Speech and Language10.1016/j.csl.2006.06.00421:2(296-324)Online publication date: 1-Apr-2007
  • (2005)Emotive alertProceedings of the 10th international conference on Intelligent user interfaces10.1145/1040830.1040885(251-253)Online publication date: 10-Jan-2005
  • (2004)Automatic Categorization of Voicemail Transcripts Using Stochastic Language ModelsText, Speech and Dialogue10.1007/978-3-540-30120-2_46(363-370)Online publication date: 2004
  • (2004)Advances in Profile Assisted Voicemail ManagementArtificial Intelligence: Methodology, Systems, and Applications10.1007/978-3-540-30106-6_23(226-235)Online publication date: 2004

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