Usability Improvement for Data Input into the Fatigue Avoidance Scheduling Tool (FAST)

Abstract

The Fatigue Avoidance Scheduling Tool (FAST(TradeMark)) was a Windows(registered) program based upon the SAFTE applied fatigue model. FAST(TradeMark) allowed planners and schedulers to estimate the average effects of various schedules on human performance. It allowed work and sleep data entry in graphic, text and symbolic formats. We had set an objective to "Demonstrate fatigue management software interface improvements to achieve 20% increase in usability for field personnel." We hypothesized that data entry would be accomplished significantly faster by novice and expert users using the symbolic (grid) data input mode than using the graphic schedule input mode. The Grid input mode provided both a statistically and an operationally significant reduction in data input time, compared to the Graphic mode for both novice and expert users. We concluded that the Grid input mode offered a 40 to 45% reduction in FAST(TradeMark) data input time, compared to the default Graphic input mode. This enhancement of data input speed was probably due to the need for fewer discrete input actions (keystroke and mouse). The Grid mode also appeared to be more intuitive for novice users than the Graphic input mode.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA435739

Entities

People

  • James C Miller

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Circadian Rhythms
  • Computers
  • Contracts
  • Data Analysis
  • Department Of Defense
  • Engineering
  • Governments
  • Hard Copy
  • Instructions
  • Instructors
  • Military Personnel
  • Motor Skills
  • Personnel Management
  • Scheduling (Production)
  • Standards

Fields of Study

  • Computer science

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computer Science.
  • Database Systems and Applications