Using experimental design to define boundary manikins.

When evaluating human-machine interaction it is central to consider anthropometric diversity to ensure intended accommodation levels. A well-known method is the use of boundary cases where manikins with extreme but likely measurement combinations are derived by mathematical treatment of anthropometr...

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Publicado en:Work Vol. 41; pp. 4598 - 4606
Autores principales: Soares, Marcelo M., Jacobs, Karen, Bertilsson, Erik, Högberg, Dan, Hanson, Lars
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. 2012 Supplement
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2012 Supplement
      vid: 41
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      pub: Sage Publications Inc.
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        10.3233/wor-2012-0075-4598
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        atl: Using experimental design to define boundary manikins.
      aug:
        au:
          Soares, Marcelo M.
          Jacobs, Karen
          Bertilsson, Erik
          Högberg, Dan
          Hanson, Lars
        affil: Virtual Systems Research Centre, University of Skövde, Box 408, S-541 28 Skövde, Sweden; Department of Product and Production Development, Chalmers University of Technology, S-412 96 Gothenburg, Sweden
      sug:
        subj:
          User-Computer Interface
          Models, Anatomic
          Equipment Design
          Human
          Funding Source
          Models, Statistical
          Body Composition
          Computer Simulation
      ab: When evaluating human-machine interaction it is central to consider anthropometric diversity to ensure intended accommodation levels. A well-known method is the use of boundary cases where manikins with extreme but likely measurement combinations are derived by mathematical treatment of anthropometric data. The supposition by that method is that the use of these manikins will facilitate accommodation of the expected part of the total, less extreme, population. In literature sources there are differences in how many and in what way these manikins should be defined. A similar field to the boundary case method is the use of experimental design in where relationships between affecting factors of a process is studied by a systematic approach. This paper examines the possibilities to adopt methodology used in experimental design to define a group of manikins. Different experimental designs were adopted to be used together with a confidence region and its axes. The result from the study shows that it is possible to adapt the methodology of experimental design when creating groups of manikins. The size of these groups of manikins depends heavily on the number of key measurements but also on the type of chosen experimental design.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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