Training Law Enforcement Officers to Identify Reliable Deception Cues With a Serious Digital Game
Zachary Massey, Scott Wilson, Claude Miller, University of Oklahoma, United States ; Norah Dunbar, University of California, Santa Barbara, United States ; Matthew Jensen, University of Oklahoma, United States ; Yu-Hao Lee, University of Florida, United States ; Spencer Nicholls, University of California, Santa Barbara, United States ; Chris Anderson, University of Oklahoma, United States ; Aubrie Adams, California Polytechnic State University, United States ; Javier Cecena, William Thompson, University of Oklahoma, United States
International Journal of Game-Based Learning Volume 9, Number 3, ISSN 2155-6849 Publisher: IGI Global
Extant research indicates that professional law enforcement officers (LEOs) are generally no better than untrained novices at detecting deception. Moreover, traditional training methods are often less effective than no training at all at improving successful detection. Compared to the traditional training, interactive digital games can provide an immersive learning environment for deeper internalization of new information through simulated practices. VERITAS—an interactive digital game—was designed and developed to train LEOs to better detect reliable deception cues when questioning suspects and determining the veracity of their answers. The authors hypothesized that reducing players' reactance would mitigate resistance to training, motivate engagement with materials, and result in greater success at deception detection and knowledge. As hypothesized, LEOs playing VERITAS showed significant improvement in deception detection from the first to the second scenario within the game; and the low-reactance version provided the most effective training. The authors also compared various responses to the game between LEOs and a separate undergraduate student sample. Relative to students, findings show LEOs perceived VERITAS to be significantly more intrinsically motivating, engaging, and appealing as a deception detection activity.
Massey, Z., Wilson, S., Miller, C., Dunbar, N., Jensen, M., Lee, Y.H., Nicholls, S., Anderson, C., Adams, A., Cecena, J. & Thompson, W. (2019). Training Law Enforcement Officers to Identify Reliable Deception Cues With a Serious Digital Game. International Journal of Game-Based Learning, 9(3), 1-22. IGI Global.