Training Law Enforcement Officers to Identify Reliable Deception Cues With a Serious Digital Game
Existing research indicates that professional law enforcement officers 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.
University of Florida College of Journalism and Communications Telecommunication Assistant Professor Yu-Hao Lee discusses his research on how digital games can help law enforcement officers better detect deception. Click here to hear Lee discuss his study.
Lee is interviewed by UFCJC doctoral student Brett Ball.
The original study, “Training Law Enforcement Officers to Identify Reliable Deception Cues With a Serious Digital Game,” appeared in the International Journal of Game-Based Learning.
Authors: Claude H. Miller, University of Oklahoma, USA, Norah E. Dunbar, University of California, Santa Barbara, USA, Matthew L. Jensen, University of Oklahoma, USA, Zachary B. Massey, University of Oklahoma, USA, Yu-Hao Lee, University of Florida, USA, Spencer B. Nicholls, University of California, Santa Barbara, USA, Chris Anderson, University of Oklahoma, USA, Aubrie S. Adams, California Polytechnic State University, USA, Javier Elizondo Cecena, University of Oklahoma, USA, William M. Thompson, University of Oklahoma, USA, Scott N. Wilson, University of Oklahoma, USA.
