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Advances in Speech Recognition pp 275–303Cite as

“Hands Free”: Adapting the Task–Technology-Fit Model and Smart Data to Validate End-User Acceptance of the Voice Activated Medical Tracking Application (VAMTA) in the United States Military

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Abstract

Our extensive work on validating user acceptance of a Voice Activated Medical Tracking Applications (VAMTA) in the military medical environment was broken into two phases. First, we developed a valid instrument for obtaining user evaluations of VAMTA by conducting a pilot (2004) to study the voice-activated application with medical end-users aboard U.S. Navy ships, using this phase of the study to establish face validity. Second, we conducted an in-depth study (2009) to measure the adaptation of users to a voice activated medical tracking system in preventive healthcare in the U.S. Navy. In the latter, we adapted a task–technology-fit (TTF) model (from a smart data strategy) to VAMTA, demonstrating that the perceptions of end-users can be measured and, furthermore, that an evaluation of the system from a conceptual viewpoint can be sufficiently documented. We report both on the pilot and the in-depth study in this chapter.

The survey results from the in-depth study were analyzed using the Statistical Package for the Social Sciences (SPSS) data analysis tool to determine whether TTF, along with individual characteristics, will have an impact on user evaluations of VAMTA. In conducting this in-depth study we modified the original TTF model to allow adequate domain coverage of patient care applications.

This study provides the underpinnings for a subsequent, higher level study of nationwide medical personnel. Follow-on studies will be conducted to investigate performance and user perceptions of VAMTA under actual medical field conditions.

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Notes

  1. 1.

    Work Unit No. 0604771N-60001.

  2. 2.

    The context in which executives address performance is truly selective in that one can choose to consider performance of a function or department, of a product or asset, or, even, of an individual. When we talk about performance optimization it is in the enterprise context versus the local context.

  3. 3.

    Data engineering technologies include modeling and metadata management and smart application of known standards that account for credentialing and privileging as a dimension of security.

  4. 4.

    Information modeling more fully describes data/metadata by describing the relationships between data elements as well as defining the data elements themselves. This increases the semantic content ofthe data, enabling the interoperability of such data by means of semantic mediation engines.

  5. 5.

    Naval Operations Instruction 5100.19D the Navy Occupational Safety and Health Program Manual for Forces Afloat, provides the specific guidelines for maintaining a safe and healthy work environment aboard U.S. Navy ships. Inspections performed by medical personnel ensure that these guidelines are followed.

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Authors and Affiliations

  1. Department of Management Information System and Decision Sciences, Indiana University of Pennsylvania, Eberly College of Business & Information Technology, Indiana, PA, 15705, USA

    James A. Rodger (Professor)

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  1. James A. Rodger
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  2. James A. George
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Correspondence to James A. Rodger .

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    Amy Neustein

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Rodger, J.A., George, J.A. (2010). “Hands Free”: Adapting the Task–Technology-Fit Model and Smart Data to Validate End-User Acceptance of the Voice Activated Medical Tracking Application (VAMTA) in the United States Military. In: Neustein, A. (eds) Advances in Speech Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5951-5_12

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  • DOI: https://doi.org/10.1007/978-1-4419-5951-5_12

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