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A Field Study of Database Communication Utilizing a Voice Activated Medical Tracking Application

A Field Study of Database Communication Utilizing a Voice Activated Medical Tracking Application
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Author(s): James Rodger (Indiana University of Pennsylvania, USA) and Parag C. Pendharkar (Pennsylvania State University, USA)
Copyright: 2005
Pages: 2
Source title: Managing Modern Organizations Through Information Technology
Source Editor(s): Mehdi Khosrow-Pour (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-822-2.ch076

Abstract

This paper utilizes a field study to investigate database communication issues peculiar to users of a voice activated medical tracking application (VAMTA). Specifically, this study investigates voice activated user database interaction, in terms of user gender, speech speed in words per minute (WPM) and technical computer experience of the users. A VAMTA device is employed to help solve the business needs of medical personnel, and to help them facilitate communication and interaction with database systems and designers, who are interested in improving technical specifications. The ability of the VAMTA to interact effectively and efficiently with the database of medical patient signs and symptoms has enhanced the productive usage of database systems, which are vital components of the medical organization information systems. In this paper, we address the communication issues in voice activated user-database interaction and the philosophical perspectives of database modeling, by identifying gender and experience factors as important barriers and issues that must be further investigated to improve communication between user and database systems. Our research studies the impact of user’s gender, speech speed in WPM and user’s computer experience on the performance of a speech recognition system. We also investigated the interactive effects of gender and user, user and WPM, and gender and WPM. Using a field study of 33 users, a voice activated medical tracking application and a mobile healthcare fieldwork environment, we illustrate that the user’s gender and computer experience has a significant impact (p

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