The Effects of Automation Invocation Procedure and Dynamic Display Relocation on Performance in a Multi-Task Environment
Citation:
Hancock, P.A. (2007). The effects of automation invocation procedure and dynamic display relocation on performance in a multi-task environment. Transaction of the IEEE on Systems, Man, and Cybernetics, Part A: Humans and Systems, 37(1), 47-57.
Abstract:
In this paper, the responses of experienced professional pilots to change in interface configuration and differing automated invocation procedures were examined using a simulated flight-task environment.
A Quantitative Meta-Analytic Examination of Whole-Body Vibration Effects on Human Performance
Citation:
Conway, G., Szalma, J.L., & Hancock, P.A. (2007). A meta-analysis of performance response under vibration. Ergonomics, 50(2), 228-245.
Abstract:
Whole-body vibration exerts a substantive influence in many work environments. The primary objective for this work was to quantify such effects by identifying those moderating variables that influencethe degree to which performance is affected.
On Time and the Origin of the Theory of Evolution
Citation:
Hancock, P.A. (2007). On time and the origin of the theory of evolution. Kronoscope, 6(2), 192-203.
Abstract:
This paper presents a perspective upon how the confluence of three differing faces of time may have served as fundamental stimulus for Charles Darwin’s formulation of the theory of evolution.
The Influence of Perceptual Speed Regulation on Speed Perception, Choice, and Control: Tunnel wall characteristics and influences
Citation:
Manser, M., & Hancock, P.A. (2007). The influence of perceptual speed regulation on speed perception, choice, and control: Tunnel wall characteristics and influences. Accident Analysis and Prevention, 39(1), 69-78.
Abstract:
The present work sought to determine if the type of visual pattern and presence of texture applied to transportation tunnel walls differentially affected driving performance.
Dr. Kelly Burke
Defended May 5, 2006 at Honeywell
Training for Vigilance: Using Predictive Power to Evaluate Feedback Effectiveness
Citation:
Szalma, J.L., Hancock, P.A., Warm, J.S., Dember, W.N., & Parsons, K. (2006). Training for vigilance: Using predictive power to evaluate feedback effectiveness. Human Factors, 48(4), 682-692.
Abstract:
We examined the effects of knowledge of results (KR) on vigilance accuracy and report the first use of positive and negative predictive power (PPP and NPP) to assess vigilance training effectiveness.
Dr. H.C. Neil Ganey
Ph.D. in Applied Experimental/Human Factors Psychology, University of Central Florida (Defended: January 13, 2006)
M.S. in Modeling and Simulation, University of Central Florida
B.S. in Psychology, University of Central Florida
harriss.ganey@navy.mil
Dr. Ganey defended his dissertation in January, 2006. As a human factors professional, Dr.
Dr. Jennifer Thropp
Defended January 12, 2006
at Florida Institute of Technology