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A pattern mining method for interpretation of interaction

Published: 04 October 2005 Publication History

Abstract

This paper proposes a novel mining method for multimodal interactions to extract important patterns of group activities. These extracted patterns can be used as machine-readable event indices in developing an interaction corpus based on a huge collection of human interaction data captured by various sensors. The event indices can be used, for example, to summarize a set of events and to search for particular events because they contain various pieces of context information. The proposed method extracts simultaneously occurring patterns of primitive events in interaction, such as gaze and speech, that in combination occur more consistently than randomly. The proposed method provides a statistically plausible definition of interaction events that is not possible through intuitive top-down definitions. We demonstrate the effectiveness of our method for the data captured in an experimental setup of a poster-exhibition scene. Several interesting patterns are extracted by the method, and we examined their interpretations.

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Cited By

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  • (2016)An implementation of efficient techniques for tree based mining in human social dynamics2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)10.1109/SAPIENCE.2016.7684138(8-16)Online publication date: Mar-2016
  • (2015)A new framework for mining frequent interaction patterns from meeting databasesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.06.01945:C(103-118)Online publication date: 1-Oct-2015
  • (2012)Tree-Based Mining for Discovering Patterns of Human Interaction in MeetingsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2010.22424:4(759-768)Online publication date: 1-Apr-2012
  • Show More Cited By

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    cover image ACM Conferences
    ICMI '05: Proceedings of the 7th international conference on Multimodal interfaces
    October 2005
    344 pages
    ISBN:1595930280
    DOI:10.1145/1088463
    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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    New York, NY, United States

    Publication History

    Published: 04 October 2005

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    Author Tags

    1. activity patterns
    2. behavior mining
    3. interaction corpus
    4. multimodal interaction patterns

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    Overall Acceptance Rate 453 of 1,080 submissions, 42%

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    Cited By

    View all
    • (2016)An implementation of efficient techniques for tree based mining in human social dynamics2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)10.1109/SAPIENCE.2016.7684138(8-16)Online publication date: Mar-2016
    • (2015)A new framework for mining frequent interaction patterns from meeting databasesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.06.01945:C(103-118)Online publication date: 1-Oct-2015
    • (2012)Tree-Based Mining for Discovering Patterns of Human Interaction in MeetingsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2010.22424:4(759-768)Online publication date: 1-Apr-2012
    • (2011)Social interaction mining in small group discussion using a smart meeting systemProceedings of the 8th international conference on Ubiquitous intelligence and computing10.5555/2035646.2035654(40-51)Online publication date: 2-Sep-2011
    • (2011)Social Interaction Mining in Small Group Discussion Using a Smart Meeting SystemUbiquitous Intelligence and Computing10.1007/978-3-642-23641-9_6(40-51)Online publication date: 2011
    • (2010)A multi-modal dialogue analysis method for medical interviews based on design of interaction corpusPersonal and Ubiquitous Computing10.1007/s00779-010-0289-514:8(767-778)Online publication date: 1-Dec-2010
    • (2009)Interaction pattern and motif mining method for doctor-patient multi-modal dialog analysisProceedings of the ICMI-MLMI '09 Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing10.1145/1641389.1641395(1-4)Online publication date: 6-Nov-2009
    • (2007)Extraction of important interactions in medical interviewsusing nonverbal informationProceedings of the 9th international conference on Multimodal interfaces10.1145/1322192.1322209(82-85)Online publication date: 12-Nov-2007
    • (2006)Ubiquitous Experience MediaIEEE MultiMedia10.1109/MMUL.2006.9413:4(20-29)Online publication date: 1-Oct-2006

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