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Socially aware computation and communication

Published: 04 October 2005 Publication History

Abstract

By building machines that understand social signaling and social context, we can dramatically improve collective decision making and help keep remote users 'in the loop.' I will describe three systems that have a substantial understanding of social context, and use this understanding to improve human group performance. The first system is able to interpret social displays of interest and attraction, and uses this information to improve conferences and meetings. The second is able to infer friendship, acquaitance, and workgroup relationships, and uses this to help people build social capital. The third is able to examine human interactions and categorize participants attitudes (attentive, agreeable, determined, interested, etc), and uses this information to proactively promote group cohesion and to match participants on the basis of their compatiblity.

References

[1]
Pentland, A. (2004) Social Dynamics: Signals and Behavior, Int'l Conf. On Developmental Learning, Salk Institute, San Diego, Oct. 20-22. See http://hd.media.mit.edu
[2]
Pentland, A. (2005) Socially Aware Compuation and Communication, IEEE Computer, March 2005, pp. 63--70
[3]
Gladwell, M. (2000). The Tipping Point: How little things can make a big difference. New York: Little Brown
[4]
Gladwell, M. (2005). Blink. New York: Little, Brown and Company

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  • (2014)Exploiting Psychological Factors for Interaction Style Recognition in Spoken ConversationIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2014.230033922:3(659-671)Online publication date: 1-Mar-2014
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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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2005

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Author Tags

  1. affect
  2. non-linguistic communication
  3. social signals

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

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Cited By

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  • (2024)Effective Facial Expression Recognition System Using Artificial Intelligence TechniqueKurdistan Journal of Applied Research10.24017/science.2024.2.99:2(117-130)Online publication date: 30-Dec-2024
  • (2019)Aggregation and Mapping of Social Media Attribute Names Extracted from Chat Conversation for Personalized E-Learning2019 4th MEC International Conference on Big Data and Smart City (ICBDSC)10.1109/ICBDSC.2019.8645567(1-9)Online publication date: Jan-2019
  • (2014)Exploiting Psychological Factors for Interaction Style Recognition in Spoken ConversationIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2014.230033922:3(659-671)Online publication date: 1-Mar-2014
  • (2013)Interaction style detection based on Fused Cross-Correlation Model in spoken conversation2013 IEEE International Conference on Acoustics, Speech and Signal Processing10.1109/ICASSP.2013.6639323(8495-8499)Online publication date: May-2013
  • (2012)A privacy-preserving and language-independent speaking detecting and speaker diarization approach for spontaneous conversation using microphones2012 IEEE 11th International Conference on Signal Processing10.1109/ICoSP.2012.6491534(499-502)Online publication date: Oct-2012
  • (2011)Pervasive sensing to model political opinions in face-to-face networksProceedings of the 9th international conference on Pervasive computing10.5555/2021975.2021995(214-231)Online publication date: 12-Jun-2011
  • (2011)Sleep, mood and sociability in a healthy population2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/IEMBS.2011.6091303(5267-5270)Online publication date: Aug-2011
  • (2011)Pervasive Sensing to Model Political Opinions in Face-to-Face NetworksPervasive Computing10.1007/978-3-642-21726-5_14(214-231)Online publication date: 2011
  • (2010)Social sensingWireless Health 201010.1145/1921081.1921094(104-110)Online publication date: 5-Oct-2010
  • (2010)Towards Social Network Extraction Using a Graph DatabaseProceedings of the 2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications10.1109/DBKDA.2010.19(28-34)Online publication date: 11-Apr-2010
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