Literature DB >> 29531424

The Five Key Questions of Human Performance Modeling.

Changxu Wu1.   

Abstract

Via building computational (typically mathematical and computer simulation) models, human performance modeling (HPM) quantifies, predicts, and maximizes human performance, human-machine system productivity and safety. This paper describes and summarizes the five key questions of human performance modeling: 1) Why we build models of human performance; 2) What the expectations of a good human performance model are; 3) What the procedures and requirements in building and verifying a human performance model are; 4) How we integrate a human performance model with system design; and 5) What the possible future directions of human performance modeling research are. Recent and classic HPM findings are addressed in the five questions to provide new thinking in HPM's motivations, expectations, procedures, system integration and future directions.

Entities:  

Keywords:  Human Performance Modeling

Year:  2016        PMID: 29531424      PMCID: PMC5844574          DOI: 10.1016/j.ergon.2016.05.007

Source DB:  PubMed          Journal:  Int J Ind Ergon        ISSN: 0169-8141            Impact factor:   2.656


  11 in total

1.  Model Comparisons and Model Selections Based on Generalization Criterion Methodology.

Authors: 
Journal:  J Math Psychol       Date:  2000-03       Impact factor: 2.223

2.  Cognitive mechanisms of mindfulness: A test of current models.

Authors:  Ben Isbel; Doug Mahar
Journal:  Conscious Cogn       Date:  2015-10-24

3.  Topological chaos of the spatial prisoner's dilemma game on regular networks.

Authors:  Weifeng Jin; Fangyue Chen
Journal:  J Theor Biol       Date:  2015-11-29       Impact factor: 2.691

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Authors:  M A Sinclair; C G Drury
Journal:  Appl Ergon       Date:  1979-12       Impact factor: 3.661

5.  Modeling driver behavior in a cognitive architecture.

Authors:  Dario D Salvucci
Journal:  Hum Factors       Date:  2006       Impact factor: 2.888

6.  Around-the-World Atomic Clocks: Observed Relativistic Time Gains.

Authors:  J C Hafele; R E Keating
Journal:  Science       Date:  1972-07-14       Impact factor: 47.728

7.  Four dimensional chaos and intermittency in a mesoscopic model of the electroencephalogram.

Authors:  Mathew P Dafilis; Federico Frascoli; Peter J Cadusch; David T J Liley
Journal:  Chaos       Date:  2013-06       Impact factor: 3.642

8.  Effectiveness and acceptance of the intelligent speeding prediction system (ISPS).

Authors:  Guozhen Zhao; Changxu Wu
Journal:  Accid Anal Prev       Date:  2013-01-06

9.  Can passengers' active head tilt decrease the severity of carsickness? Effect of head tilt on severity of motion sickness in a lateral acceleration environment.

Authors:  Takahiro Wada; Hiroyuki Konno; Satoru Fujisawa; Shun'ichi Doi
Journal:  Hum Factors       Date:  2012-04       Impact factor: 2.888

10.  Mathematically modelling the effects of pacing, finger strategies and urgency on numerical typing performance with queuing network model human processor.

Authors:  Cheng-Jhe Lin; Changxu Wu
Journal:  Ergonomics       Date:  2012-07-18       Impact factor: 2.778

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