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Nathan Twyman

Associate Professor,
Information Systems

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Biography

Nathan W. Twyman is an Assistant Professor of Information Systems at Brigham Young University. He received his Ph.D. in Management Information Systems from the University of Arizona. Nathan’s research interests revolve around transformative HCI and UX. Data analytics, human behavior sensing, and gamification tend to play key roles in his pursuits. His project domains to date have been in health, intelligence, cybersecurity, auditing, and forensic investigation. He pursues impactful research through industry-partnered projects, and has served as a PI for over 350K in external funding in addition to contributing to many large sponsored projects. His impact-focused research has been published in Management Information Systems Quarterly, Journal of Management Information Systems, Journal of the Association for Information Systems, Information & Management, AIS Transactions on Human-Computer Interaction, and in popular media outlets.

Education

  • Business Administration, MIS, University of Arizona, 2012

Selected Publications

  • "Crowdfunding Deception Perception: What Makes Would-Be Contributors Perceive Fakeness in Crowdfunding Campaigns?", 2021
  • "Design Principles for Signal Detection in Modern Job Application Systems: Identifying Fabricated Qualifications", Journal of Management Information Systems, Edition 3, Volume 37, Pages 849-874, 2020
  • "Too Busy to Be Manipulated: How Multitasking with Technology Improves Deception Detection in Collaborative Teamwork", Edition 2, Volume 37, Pages 377-395, Journal of Management Information Systems, 2020
  • "Factors that facilitate or impair kinesic and vocalic nonverbal behaviors during interpersonal deception", Social Intelligence and Nonverbal Communication, Pages 79-117, 2020
  • "Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening", Volume 85, Pages 372--385, Computers \& Security, 2019
  • "A Video-Based Screening System for Automated Risk Assessment Using Nuanced Facial Features", Edition 3, Volume 35, Pages 994--994, JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2018
  • "Deception Detection in Online Automated Job Interviews", International Conference on HCI in Business, Government, and Organizations, Pages 206--216, 2018
  • "Informational Video Gaming in the Waiting Room", 2018
  • "Embodied Conversational Agent-Based Deception Detection", Proceedings of SAI Intelligent Systems Conference, Pages 294--307, 2016
  • "Robustness of multiple indicators in automated screening systems for deception detection", Edition 4, Volume 32, Pages 215--245, Journal of Management Information Systems, 2015
  • "Breaking out of the design science box: High-value impact through multidisciplinary design science programs of research", 2013
  • "Establishing a Foundation for Automated Human Credibility Screening", 2012 IEEE International Conference on Intelligence and Security Informatics (ISI), Pages 202–211, Arlington, VA, 2012

Awards

  • Distinguished Member, AIS, 2023