Multivariate analysis of human behavior data using fuzzy windowing: Example with driver–car–environment system |
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| Authors: | Jean-Christophe Popieul Pierre Loslever Alexis Todoskoff Philippe Simon Matthias Rötting |
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| Affiliation: | 1. Université Lille Nord de France, F-59000 Lille, France;2. UVHC, LAMIH, F-59313 Valenciennes cedex 9, France;3. CNRS, UMR 8201, F-59313 Valenciennes cedex 9, France;4. Université d''Angers, LASQUO EA3858, F-49000 Angers, France;5. Chair of Human-Machine Systems, Technische Universität Berlin, D-10587 Berlin, Germany;1. Electronic Engineering Department, University of Antioquia, Calle 67 ?53-108, 05001000 Medellín, Colombia;2. LAAS-CNRS, 7 Avenue du colonel Roche, 31077 Toulouse Cedex 4, France;3. Univ de Toulouse, INSA, LAAS, F-31400 Toulouse, France;4. ESAII-UPC, Rambla Sant Nebridi, 10, 08222 Terrasa (Catalunya), Spain;1. Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Boadilla del Monte 28660, Spain;2. Laboratorio Cajal de Circuitos Corticales, Universidad Politécnica de Madrid and Instituto Cajal (CSIC), Pozuelo de Alarcón 28223, Spain;1. The Key Lab of Autonomous System and Network Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou, China;2. School of Computing and Mathematics, Plymouth University, UK;3. College of Automation Science and Engineering, South China University of Technology, Guangzhou, China;4. Department of Mechanical & Industrial Engineering, Concordia University, Montreal, Canada;1. Faculty of Computer Science, Dalhousie University, 6050 University Avenue, PO BOX 15000, Halifax, Canada NS B3H4R2;2. Centre de Visio per Computador, Campus UAB, Edifici O, Bellaterra, 08193 Barcelona, Spain;3. Department of Mathematics, University of Barcelona, Gran Via de les Corts 585, 08007 Barcelona, Spain;1. University of Stuttgart, Institut für Wasser- und Umweltsystemmodellierung, Pfaffenwaldring 61, 70569 Stuttgart, Germany;2. INSERM, ERIT2002, Paris, France;3. Warsaw University of Technology, Institute of Microelectronics and Optoelectronics, Koszykowa 75, 00-662 Warszawa, Poland;4. Hôpital Européen Georges Pompidou, 75015 Paris, France;5. National Institute of Cardiology, Alpejska 42, 04-628 Warszawa, Poland |
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| Abstract: | In most human component system studies performed in simulators, several factors (or independent variables) (at least two, i.e., individual and time) and many variables (or dependent variables) are present. Large and complex databases have to be analyzed. Instead of using rather automatic procedures, this article suggest that, for a very first analysis at least, the human being must be present and he/she must choose a method being adapted to the data, which is different to run a method supposing that the data fit such or such model. This article suggests starting the analysis while keeping both the multifactorial (MF) and multivariate (MV) aspects. To achieve this aim, with the possibility to show nonlinear relationships, a MFMV exploration of the experimental database is performed using the pair (fuzzy space windowing, Multiple Correspondence Analysis). Then may come an inference analysis. This long (due to multiple large graphical views) but rich procedure is illustrated and discussed using a car driving study example. |
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