Feasibility study of trailer techniques for tire traction. Volume 2. Technical. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Feasibility study of trailer techniques for tire traction. Volume 1. Summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Experiment in assessing color separation techniques for identifying small density variations in tires. Interim report.

National Highway Traffic Safety Administration, Research Institute, Washington, D.C.

Principles and techniques of drug recognition expert training. The DRE Instructor Training School student-instructor manual.

National Highway Traffic Safety Administration, Washington, D.C.

Evaluation of techniques for reducing in-use automobile fuel consumption. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Techniques for predicting high-risk drivers for alcohol countermeasures. Volume I. Technical report. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Noise abatement techniques for construction equipment. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Evaluation of techniques for warning of slow-moving vehicles ahead /

Mode of access: Internet.

Safety evaluation of priority techniques for high-occupancy vehicles /

Mode of access: Internet.

The battle of principles; a study of the heroism and eloquence of the anti-slavery conflict,

"Originally published in 1912."

Techniques for monitoring auto occupancy and Seattle area research results /

Mode of access: Internet.

Workplace conflict, bullying, and counterproductive behaviors

Using a multi-method approach, this paper presents both a qualitative and quantitative examination of workplace conflict, the emotional reactions to bullying and counterproductive behaviors. Three studies were undertaken for the present research. Data for Study 1 emerged from semi-structured interviews conducted with 50 group leaders and members from six workgroups in two large organizations. Interviews were transcribed and analyzed using systematic interpretative techniques. Findings from Study 1 showed that conflict induced a variety of emotional and behavioral responses. Data from Study 2 were collected from 660 employees from 7 public sector organizations using a structured open-ended survey. Results from Study 2 revealed that the majority of respondents perceived their managers as bullies. Study 3 surveyed 510 staff in 122 workgroups from five organizations. Regression analysis revealed that differing conflict events were associated with bullying, emotional reactions and counterproductive behaviors. In particular, prolonged conflict increased incidents of bullying. Higher levels of bullying were predictive of workplace counterproductive behaviors such as purposely wasting company material and supplies, purposely doing one's work incorrectly and purposely damaging a valuable piece of property belonging to the employer.

ATC-lab: An air traffic control simulator for the laboratory

Air Traffic Control Laboratory Simulator (ATC-lab) is a new low- and medium-fidelity task environment that simulates air traffic control. ATC-lab allows the researcher to study human performance of tasks under tightly controlled experimental conditions in a dynamic, spatial environment. The researcher can create standardized air traffic scenarios by manipulating a wide variety of parameters. These include temporal and spatial variables. There are two main versions of ATC-lab. The medium-fidelity simulator provides a simplified version of en route air traffic control, requiring participants to visually search a screen and both recognize and resolve conflicts so that adequate separation is maintained between all aircraft. The low-fidelity simulator presents pairs of aircraft in isolation, controlling the participant's focus of attention, which provides a more systematic measurement of conflict recognition and resolution performance. Preliminary studies have demonstrated that ATC-lab is a flexible tool for applied cognition research.

The influence of memory for prior instances on performance in a conflict detection task

In 3 experiments, the authors examined the role of memory for prior instances for making relative judgments in conflict detection. Participants saw pairs of aircraft either repeatedly conflict with each other or pass safely before being tested on new aircraft pairs, which varied in similarity to the training pairs. Performance was influenced by the similarity between aircraft pairs. Detection time was faster when a conflict pair resembled a pair that had repeatedly conflicted. Detection time was slower, and participants missed conflicts, when a conflict pair resembled a pair that had repeatedly passed safely. The findings identify aircraft features that are used as inputs into the memory decision process and provide an indication of the processes involved in the use of memory for prior instances to make relative judgments.

Simulation of air traffic controllers' behaviour using the operator choice model

The Operator Choice Model (OCM) was developed to model the behaviour of operators attending to complex tasks involving interdependent concurrent activities, such as in Air Traffic Control (ATC). The purpose of the OCM is to provide a flexible framework for modelling and simulation that can be used for quantitative analyses in human reliability assessment, comparison between human computer interaction (HCI) designs, and analysis of operator workload. The OCM virtual operator is essentially a cycle of four processes: Scan Classify Decide Action Perform Action. Once a cycle is complete, the operator will return to the Scan process. It is also possible to truncate a cycle and return to Scan after each of the processes. These processes are described using Continuous Time Probabilistic Automata (CTPA). The details of the probability and timing models are specific to the domain of application, and need to be specified using domain experts. We are building an application of the OCM for use in ATC. In order to develop a realistic model we are calibrating the probability and timing models that comprise each process using experimental data from a series of experiments conducted with student subjects. These experiments have identified the factors that influence perception and decision making in simplified conflict detection and resolution tasks. This paper presents an application of the OCM approach to a simple ATC conflict detection experiment. The aim is to calibrate the OCM so that its behaviour resembles that of the experimental subjects when it is challenged with the same task. Its behaviour should also interpolate when challenged with scenarios similar to those used to calibrate it. The approach illustrated here uses logistic regression to model the classifications made by the subjects. This model is fitted to the calibration data, and provides an extrapolation to classifications in scenarios outside of the calibration data. A simple strategy is used to calibrate the timing component of the model, and the results for reaction times are compared between the OCM and the student subjects. While this approach to timing does not capture the full complexity of the reaction time distribution seen in the data from the student subjects, the mean and the tail of the distributions are similar.