Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling end-users' acceptance of a knowledge authoring tool.

N C Hulse1, G Del Fiol, R A Rocha

  • 1Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA. nathan.hulse@intermountainmail.org

Methods of Information in Medicine
|October 5, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genome-enabled prediction of indicator traits of resistance to gastrointestinal nematodes in sheep using parametric models and artificial neural networks.

Research in veterinary science·2023
Same author

Effect of growing forage legumes on the migration and survival in the pasture of gastrointestinal nematodes of sheep.

Journal of helminthology·2022
Same author

Biomolecular phenotyping and heterogeneity assessment of mesenchymal stromal cells using label-free Raman spectroscopy.

Scientific reports·2021
Same author

Clinical Complexity in Medicine: A Measurement Model of Task and Patient Complexity.

Methods of information in medicine·2015
Same author

Representation of information about family relatives as structured data in electronic health records.

Applied clinical informatics·2014
Same author

Lessons learned for collaborative clinical content development.

Applied clinical informatics·2013

The Technology Acceptance Model (TAM) effectively predicts user intentions for medical knowledge authoring tools. This model helps development teams understand key factors influencing tool acceptability for knowledge base creation.

Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Information Technology

Background:

  • Knowledge acquisition for medical expert systems is labor-intensive.
  • Effective knowledge authoring tools are crucial for end-users.
  • The Technology Acceptance Model (TAM) is a potential framework for evaluating tool acceptability.

Purpose of the Study:

  • To test the applicability of the TAM in predicting the acceptability of a medical knowledge authoring tool.
  • To assess if TAM constructs can predict end-users' behavioral intentions to use the tool.

Main Methods:

  • An online survey was administered to experienced knowledge base authors.
  • Likert-scale questions based on TAM constructs were used, adapted for the specific software.
  • Structural equation modeling was employed for data analysis.

Related Experiment Videos

Main Results:

  • The TAM demonstrated strong predictive power for end-users' behavioral intentions.
  • Five of seven goodness-of-fit statistics confirmed the model's adequacy.
  • Most hypothesized relationships within the TAM were statistically significant (p < 0.05).

Conclusions:

  • The TAM serves as a valuable tool for development teams to anticipate and understand user priorities for knowledge authoring software.
  • Further research with diverse behavioral models and user groups is recommended to broaden understanding of tool acceptability factors.