i-sensor inference model for assessing trustworthiness in computer-mediated communications
Pages 645 - 648
Abstract
This paper presents a modeling strategy for an intelligence sensor system, or i-Sensor, which can comprehend human's virtual dialogues in Computer Mediated Communications (CMC) and process those dialogues to understand trustworthiness detected among humans in a virtual collaborative group. The model proposed here is built on research that demonstrated how human "sensors" can detect unusual or unexpected changes in a psychological construct, trustworthiness, based on observed virtual behavior.
References
[1]
Ho, S.M., Attribution-Based Anomaly Detection: Trustworthiness in an Online Community, in Social Computing, Behavioral Modeling, and Prediction, H. Liu, J.J. Salerno, and M.J. Young, Editors. 2008, Springer: Tempe, AZ. p. 129--140.
[2]
Ho, S.M., Towards a Deeper Understanding of Personnel Anomaly Detection, in Cyber Warfare and Cyber Terrorism, L.J. Janczewski and A.M. Colarik, Editors. 2008, Information Science Reference (an imprint of IGI Global): Hershey, PA. p. 206--215.
[3]
Ho, S.M. Trustworthiness in Virtual Organizations. in 15th Americas Conference on Information Systems 2009. San Francisco.
[4]
Ho, S.M., A Socio-Technical Approach to Understanding Perceptions of Trustworthiness in Virtual Organizations, in Social Computing, Behavioral Modeling, and Prediction, H. Liu, J.J. Salerno, and M.J. Young, Editors. 2009, Springer: Tempe, AZ.
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Ho, S.M., Behavioral Anomaly Detection: A Socio-Technical Study of Trustworthiness in Virtual Organizations, in School of Information Studies. 2009, Syracuse University: Syracuse. p. 437.
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Ho, S.M. Simulating insider threats with online games. in Pre-ICIS Workshop on Information Security and Privacy (WISP). 2009. Phoenix, AZ.
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Ho, S.M., Two-stage recursive attribution mechanism for sensing behavioral anomalies in virtual organizations, in ICIS 2010 Doctoral Dissertation Competition 2010, Syracuse University: Philadelphia, PA. p. 14.
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Ho, S.M., I. Benbasat, and J.M. Stanton. The Theory of Trustworthiness Attribution for Countering Insider Threats. in JAIS Theory Development Pre-ICIS Workshop. 2010. St. Louis, MO: JAIS.
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Kelley, H.H., J.G. Holmes, et al., The Process of Causal Attribution. American Psychology, 1973. 28(2): p. 107--128.
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Index Terms
- i-sensor inference model for assessing trustworthiness in computer-mediated communications
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Published In
March 2011
764 pages
ISBN:9781450305563
DOI:10.1145/1958824
- General Chairs:
- Pamela Hinds,
- John C. Tang,
- Jian Wang,
- Program Chairs:
- Jakob Bardram,
- Nicolas Ducheneaut
Copyright © 2011 Authors.
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Association for Computing Machinery
New York, NY, United States
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Published: 19 March 2011
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