By Vincent G. Duffy
An exam of a number of the kinds of human-modeled know-how, Advances in utilized Human Modeling and Simulation not just covers the kind of versions to be had, yet how they are often utilized to resolve particular difficulties. those types offer a illustration of a few human points that may be inserted into simulations or digital environments and facilitate prediction of security, pride, usability, functionality, and sustainability.
The math and technological know-how offers a starting place for visualizations that may facilitate selection making by means of technical specialists, administration or these liable for public coverage. In contemplating a structures viewpoint and judgements that have an effect on functionality, those types supply possibilities for an improved position of engineers and HF/E experts to satisfy technical demanding situations all over the world. they could even be used to enhance time-to-market, raise protection and eventually the effectiveness of a firm. The booklet specializes in purposes of those newly built types and predictive functions invaluable to human elements and ergonomics engineers, cognitive engineers, human desktop interplay engineers, human functionality modeling engineers, and scholars in similar fields.
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Extra info for Advances in Applied Human Modeling and Simulation
In: Proceedings of the STLE/ASME International Joint Tribology Conference, Miami, FL, USA, Oct. 20-22. , 2003. Field evaluation of two commonly used slipmeters. Applied Ergonomics, 34: 51–60. , 2004. A statistical model to estimate the probability of slip and fall incidents. Safety Science, 42: 779–789. , 2004b. Assessing floor slipperiness in fast-food restaurants in Taiwan using objective and subjective measures. Applied Ergonomics, 35: 401–408. , 2006. Objective and subjective measurements of slipperiness in fast-food restaurants in the USA and their comparison with the previous results obtained in Taiwan.
The dynamic COF for each instance was recorded and the required COF, heretofore referred to as the critical COF, was assessed by examining the foot forces during trials in which no slips occurred. The data was then fit to a logistic regression model to estimate the probability of a slip based on the difference between the available and required COF. The available COF, or sometimes referred to as the available friction, is the actual COF recorded between the shoe-floor interface. indb 25 01/06/12 10:03 AM 26 COF, or required friction, is the minimum friction needed to support human activity.
The drawback of this study was that mean values instead of a stochastic distribution were used to estimate the probability of a slip, as pointed out by Barnett (2002) and Chang (2004). Fathallah et al. (2000) estimated the probability of slip for drivers exiting commercial vehicles equipped with steps and grab-rails under assumed icy conditions. The study measured the required COF of 10 male subjects as they exited the vehicles. The logistic regression model detailed in Hanson et al. (1999) was then used to estimate the probability of a slip when employing the grab-rails and not employing the grab-rails.