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Title: Effects of Field of View and Visual Complexity on Virtual Reality Training Effectiveness for a Visual Scanning Task

Virtual reality training systems are commonly used in a variety of domains, and it is important to understand how the realism of a training simulation influences training effectiveness. The paper presents a framework for evaluating the effects of virtual reality fidelity based on an analysis of a simulation’s display, interaction, and scenario components. Following this framework, we conducted a controlled experiment to test the effects of fidelity on training effectiveness for a visual scanning task. The experiment varied the levels of field of view and visual realism during a training phase and then evaluated scanning performance with the simulator’s highest level of fidelity. To assess scanning performance, we measured target detection and adherence to a prescribed strategy. The results show that both field of view and visual realism significantly affected target detection during training; higher field of view led to better performance and higher visual realism worsened performance. Additionally, the level of visual realism during training significantly affected learning of the prescribed visual scanning strategy, providing evidence that high visual realism was important for learning the technique. The results also demonstrate that task performance during training was not always a sufficient measure of mastery of an instructed technique. That is,more » if learning a prescribed strategy or skill is the goal of a training exercise, performance in a simulation may not be an appropriate indicator of effectiveness outside of training—evaluation in a more realistic setting may be necessary.« less
 [1] ;  [2] ;  [3] ;  [4] ;  [2] ;  [5]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Cyber and Information Security Group
  2. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States). Dept. of Computer Science
  3. Duke Univ., Durham, NC (United States)
  4. Precision Nutrition, Toronto, ON (Canada)
  5. Univ. of Texas-Dallas, Richardson, TX (United States)
Publication Date:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
IEEE Transactions on Visualization and Computer Graphics
Additional Journal Information:
Journal Volume: 21; Journal Issue: 7; Journal ID: ISSN 1077-2626
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE; US Department of the Navy, Office of Naval Research (ONR)
Country of Publication:
United States
99 GENERAL AND MISCELLANEOUS; 97 MATHEMATICS AND COMPUTING; Virtual reality; Complexity theory; Artificial; Graphical user interfaces and virtual realities; Graphical user interfaces augmented; augmented and virtual realities; Solid modeling; augmented; and virtual realities; Graphical user interfaces
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1261446