Knowledge about the effects of primary factors on comfort level is useful in Human-Machine-Interface (HMI) design. The study and the mathematical modeling of these effects strongly depends on cross relations between the different kinds of comfort, the primary factors’ effects, and the modifiers’ actions. Starting from a sizeable bibliographic analysis, this paper describes a study, based on the axiomatic design approach, of the interactions between the results, factors, and modifiers in comfort/discomfort evaluation. The modifiers’ influence was determined by measuring the changes in information content. This study allowed us to validate and optimize our equation for the perceived “level of well-being” in order to better study the perception of comfort/discomfort in HMI.
CITATION STYLE
Cappetti, N., Naddeo, A., Califano, R., & Vallone, M. (2017). Using axiomatic design to identify the elements that affect the evaluation of comfort/discomfort perception. In Advances in Intelligent Systems and Computing (Vol. 487, pp. 235–248). Springer Verlag. https://doi.org/10.1007/978-3-319-41688-5_21
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