Masters Theses

Author

Paul D. Rush

Date of Award

12-1996

Degree Type

Thesis

Degree Name

Master of Science

Major

Industrial Engineering

Major Professor

Denise Jackson

Committee Members

John Hungerford, Douglas Hutchinson

Abstract

Human beings utilize sensory systems to interface with the environment. The environment generates analog signals in the form of light, heat, sound, and force. The sensory systems of the human body function specifically to sense and measure these inputs. We regulate our exposure to the elements, surround ourselves with reproduced sounds, and are regularly found captivated by mass produced video signals.

Information technologies are an extension of this alteration of our environment. Using information technologies, we reduce delays in information distribution, increase the effectiveness of data storage and retrieval, and improve the processing of data. Current information technology interface processes are based on our sensory systems. The same systems which are concerned with the reception of natural environmental signals are being used to interface with this complex machinery. We need to broaden our "tunnel vision" perception of the interaction between the human and information technologies. Given that the micro-computer is a common device used for altering our environment, the interface between the user and the computer will determine the effectiveness of the environmental alteration.

To facilitate the identification, development, and implementation of these new interface processes, a method specifically designed for human-computer interface system development is required. This research presents a methodology that will expand the potential set of interface processes beyond sight, sound, and motion; and will establish guidelines, based on life cycle phases of the system, to increase the effectiveness of the interface process.

Beyond this research, is the streamlining of the development process by establishing tables and matrix charts of potential interaction processes between physiological and digital processes. These charts and tables help form the basis for an extended body of knowledge and for further studies directed towards the optimization of interaction between humans and computers.

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