Design and Evaluation of Digital METOC Documents to Support Retrieval and Use of Information: User-Centric CDROM Compared to an Equivalent Paper Document and its Republished Web Version

Abstract

A field study was conducted to evaluate how U.S. Navy Meteorological and Oceanographic (METOC) personnel would use a user-centric CDROM (UC-CD), the equivalent paper document (PAPER), and its republished Web version (RP-WEB) to complete several problems that represented their actual work (e.g., prepare weather briefs, retrieve specific METOC facts). A methodology was developed and used to log the time spent in subtasks (i.e., search for information, interpret information) on these problems. Military METOC personnel at two facilities were recruited as subjects. Results showed that the type of interface had general effects on performance. For example, the browse time for information was longer in three problems using the RP-WEB interface compared to using the PAPER document. The longer browse times were not due to Web downloading delays. Recommendations are provided for improved METOC interface design.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 06, 2000
Accession Number
ADA384760

Entities

People

  • James A. Balias
  • Robert T. Miyamoto
  • William C. Kooiman
  • William S. Mcbride

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Cognitive Systems Engineering
  • Computers
  • Data Storage Systems
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Information Retrieval
  • Information Systems
  • Measurement
  • Operating Systems
  • Statistical Tests
  • Test And Evaluation
  • User Interface
  • User Interface Engineering
  • Web Browsers
  • Websites
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Instructional Design and Training Evaluation.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers