Browse Publications Technical Papers 2006-01-2344
2006-07-04

The Conceptual Development of a Time Estimation Model to Predict Human Performance in Complex Environments 2006-01-2344

Time estimation is a fundamental behavioral characteristic used by all humans when completing task sequences in the real world. Properly characterizing the manner that humans engage in time-critical tasks, as well as the interaction among these tasks, is necessary when developing reliable computational models of human performance to be used to simulate real-world human-system performance. The current paper introduces the notion of estimating time available, time required, and time onset to complete behaviors within real environmental contexts. It also summarizes relevant research on over- and under-estimating of time, and outlines critical factors - workload and windows of opportunity - that impact estimates of time. The paper culminates in the development of a new domain- and platform-independent conceptual model, dubbed TEMPORA, the Time Estimation Model for Predicting Onset, Required and Available time. The relationship between this conceptual model and the general requirements specifications for computational model development are highlighted.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
JOURNAL ARTICLE

Predicting Effects of Veiling Glare Caused by Instrument Panel Reflections in the Windshields

2008-01-0666

View Details

TECHNICAL PAPER

Forecasting Return on Investment (ROI) for Naval Aviation Maintenance Safety Initiatives

2000-01-2094

View Details

TECHNICAL PAPER

Numerical Modelling of Laser Scoring Line Behaviour for Seamless Passenger Airbag Door Opening

2009-01-0356

View Details

X