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Nathan W. Twyman

Expected Year of Graduation

• 2011

Advisor

• Dr. Jay F. Nunamaker

Dissertation Title:

• Non-Invasive Screening for Concealed Information

Research Interests

• Discovery of hidden information
• Human-virtual agent interaction
• Security technologies
• Virtual structures for collaborative decision making
• Leveraging hedonic systems in organizations

Education

• Masters of Information Sytems Management, Brigham Young University, 2007
• BS Information Systems, Brigham Young University, 2007

Publications

• Nathan W. Twyman, Jeffrey L. Jenkins, Katherine Carl, and Jay F. Nunamaker, Jr. (2011). “Knowledge Sourcing and Knowledge Consumption in Computer-Mediated Complex Decision Making.” 44th Annual Hawaii International Conference on System Sciences (HICSS), Koloa, Hawaii, Jan 4-7.
• Nathan W. Twyman, Aaron Elkins, and Judee K. Burgoon (2011). “A Rigidity Detection System for the Guilty Knowledge Test.” HICSS-44 Symposium on Credibility Assessment and Information Quality in Government and Business, 44th Annual Hawai'i International Conference on System Sciences (HICSS), Koloa, Hawaii, Jan 4-7.
• Nathan W. Twyman, Judee K. Burgoon, and Jay F. Nunamaker (2011). “Non-invasive Screening for Concealed Information.” HICSS-44 Symposium on Credibility Assessment and Information Quality in Government and Business, 44th Annual Hawai'i International Conference on System Sciences (HICSS), Koloa, Hawaii, Jan 4-7.
• Nathan W. Twyman, Kevin Moffitt, Judee K. Burgoon, and Frank Marchak (2010). “Using Eye Tracking Technology as a Concealed Information Test.” HICSS-43 Symposium on Credibility Assessment and Information Quality in Government and Business, 43rd Annual Hawai'i International Conference on System Sciences (HICSS) Waikoloa, Big Island, Hawaii, USA, January 5-8.
• Judee K. Burgoon, Matthew Jensen, Nathan W. Twyman, Thomas O. Meservy, Dmitris N. Metaxas, Nicholas Michael, Koren Elder, and Jay F. Nunamaker, Jr. (2010). “Automated Kinesic Analysis for Deception Detection” HICSS-43 Symposium on Credibility Assessment and Information Quality in Government and Business, 43rd Annual Hawai'i International Conference on System Sciences (HICSS) Waikoloa, Big Island, Hawaii, USA, January 5-8.
• Paul Benjamin Lowry, Nathan W. Twyman, James Gaskin, Bryan Hammer, Aaron Bailey, and Tom L. Roberts (2007). “Proposing the Interactivity-Stimulus-Attention Model (ISAM) to Explain and Predict Enjoyment, Immersion, and Adoption of Purely Hedonic Systems,” Special Interest Group on Human-Computer Interaction (SIG-HCI) 2007 Pre-ICIS Workshop (best-paper nomination), Montréal, Canada, December 8.
• Paul Benjamin Lowry, Jeffrey L. Jenkins, Nathan W. Twyman, Bryan Hammer, James Gaskin, and Martin Hassell” (2008). “Proposing the Hedonic Affect Model (HAM) to Explain how Stimuli and Performance Expectations Predict Affect in Individual and Group Hedonic Systems Use,” Journal of the Association for Information Systems (JAIS) Pre-ICIS Theory Development Workshop.