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The identification and modeling of visual cue usage in manual control task experiments

Posted on:2000-09-09Degree:Ph.DType:Dissertation
University:Stanford UniversityCandidate:Sweet, Barbara TownsendFull Text:PDF
GTID:1468390014962801Subject:Engineering
Abstract/Summary:
Many fields of endeavor require humans to conduct manual control tasks while viewing a perspective scene. Manual control refers to tasks in which continuous, or nearly continuous, control adjustments are required. Examples include flying an aircraft, driving a car, and riding a bicycle. Perspective scenes can arise through natural viewing of the world, simulation of a scene (as in flight simulators), or through imaging devices (such as the cameras on an unmanned aerospace vehicle).; Designers frequently have some degree of control over the content and characteristics of a perspective scene; airport designers can choose runway markings, vehicle designers can influence the size and shape of windows, as well as the location of the pilot, and simulator database designers can choose scene complexity and content. Little theoretical framework exists to help designers determine the answers to questions related to perspective scene content. An empirical approach is most commonly used to determine optimum perspective scene configurations.; The goal of the research effort described in this dissertation has been to provide a tool for modeling the characteristics of human operators conducting manual control tasks with perspective-scene viewing. This is done for the purpose of providing an algorithmic, as opposed to empirical, method for analyzing the effects of changing perspective scene content for closed-loop manual control tasks.; The dissertation contains the development of a model of manual control using a perspective scene, called the Visual Cue Control (VCC) Model. Two forms of model were developed: one model presumed that the operator obtained both position and velocity information from one visual cue, and the other model presumed that the operator used one visual cue for position, and another for velocity.; The models were compared and validated in two experiments. The results show that the two-cue VCC model accurately characterizes the output of the human operator with a variety of perspective scenes. The potential of using the model for visual cue identification was also investigated, with promising results. A third experiment was performed to compare perspective displays with more conventional display types.
Keywords/Search Tags:Manual control, Perspective, Visual cue, Model
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