Secondary task interference in the performance of tracking tasks.
Secondary verbal task effect on tracking performance
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Secondary verbal task effect on tracking performance
Computer techniques for data problems encountered by task analysts
Skilled response organization, discussing stimulus coherence, tracking task, spatial and temporal coherence, secondary task, sequence length and task coding
Changing role of technical writers and editors during next decade
Effects of number of irrelevant dimensions in nonconjunctive concept learning
Absolute judgment of more than 32 categories with unidimensional visual stimulus
Operator performance in single and two-axis compensatory tracking systems
On length difficulty relation in performance of tracking task
Human performance in cross-coupled compensatory tracking task
Effect of successive visually presented lists on parameters of paired associate model
Choice reaction time to visual stimuli - analysis of major theoretical positions to perceptual recognition theories
Motor performance of temporal pursuit tracking tasks as function of sequence length and coherence
Supervisory controlled manipulation system for complex manipulation tasks on unmanned space vehicles using AND TREE computer data structure
The Apollo program was designed to land men on the moon and return them safely to earth. The Apollo lunar missions were informally divided into series, each series having similar spacecraft configurations, number of experiments, and complexity of tasks. Specific information on these missions is given.
Using a complex psychomotor task performed for 50 minutes in the presence of low frequency noise, high frequency noise, or ambient noise, annoyance ratings were obtained for noises of various frequencies by the method of magnitude estimation. The results suggest that high frequency noise affects female performance to a greater extent than male performance. Contrasted to these performance effects, the sexes did not differ in their annoyance ratings. A monotonically increasing relationship between annoyance and noise frequency was found (except for a decrease in annoyance at 8,000 Hz). It is concluded that both performance and annoyance responses may need to be assessed in certain situations to adequately describe human reaction to noise.
The need for a User Interface Language (UIL) has been recognized by the Space Station Program Office as a necessary tool to aid in minimizing the cost of software generation by multiple users. Previous history in the Space Shuttle Program has shown that many different areas of software generation, such as operations, integration, testing, etc., have each used a different user command language although the types of operations being performed were similar in many respects. Since the Space Station represents a much more complex software task, a common user command language--a user interface language--is required to support the large spectrum of space station software developers and users. To assist in the selection of an appropriate set of definitions for a UIL, a series of demonstration programs was generated with which to test UIL concepts against specific Space Station scenarios using operators for the astronaut and scientific community. Because of the importance of expert system in the space station, it was decided that an expert system should be embedded in the UIL. This would not only provide insight into the UIL components required but would indicate the effectiveness with which an expert system could function in such an environment.
The verification of a method for computing sensitivity derivatives of a coupled system is presented. The method deals with a system whose analysis can be partitioned into subsets that correspond to disciplines and/or physical subsystems that exchange input-output data with each other. The method uses the partial sensitivity derivatives of the output with respect to input obtained for each subset separately to assemble a set of linear, simultaneous, algebraic equations that are solved for the derivatives of the coupled system response. This sensitivity analysis is verified using an example of a cantilever beam augmented with an active control system to limit the beam's dynamic displacements under an excitation force. The verification shows good agreement of the method with reference data obtained by a finite difference technique involving entire system analysis. The usefulness of a system sensitivity method in optimization applications by employing a piecewise-linear approach to the same numerical example is demonstrated. The method's principal merits are its intrinsically superior accuracy in comparison with the finite difference technique, and its compatibility with the traditional division of work in complex engineering tasks among specialty groups.