Research in dual task performance varies widely in its methodology and results. The present study employed three different types of activity to provide insights into the interference that occurs in dual task performance. Twenty young adults completed a speech task (repeating a sentence), a verbal fluency task (listing words beginning with the same letter), and right- and left-handed motor tasks (placing pegs and washers in a peg board) in isolation and in concurrent conditions. Speech kinematic data revealed that during concurrent performance of manual tasks, lip displacement and peak velocity decreased, while sound pressure level and spatiotemporal variability increased. The impact of manual motor performance on speech differed between the right and left hand. Manual motor scores significantly decreased when concurrently performed with the verbal fluency task. Also, verbal fluency results declined when performed concurrently with left-handed manual motor task. These findings suggest that cortical localization of control may be more complex than is predicted by the functional distance hypothesis.

This thesis develops methods of task localization, task similarity discovery, and task transfer for eventual use in a reinforcement learning task library system, which can effectively “learn to learn,” improving its performance as it encounters various tasks over the lifetime of the learning system.

This thesis presents a new design process in which design specifications and task distribution are determined from a parallel multi user prospective. Using this method, projects are more easily decomposed into tasks that can be performed concurrently, thus decreasing the design time. Also, a framework is provided to determine the correct distribution of available talent and stakeholders that can be utilized on a given project. The research suggests that by involving the necessary stakeholders in a multi user setting, changes can be made quickly and without additional approval wait time. By including individuals from the various areas of required talent, persons of expertise will be able to work together in a mode of shared design rather than an iterative design process. Decreasing iterations as well as reducing wait time for approval will reduce the overall design time significantly. This method has been tested and validated utilizing controlled tests simulating real life situations of much larger scale. The validation results show that the new method does in fact improve design time and overall achievement of initial design goals

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