The aim of this study was to assess mental workload in which various load sources must be integrated to derive reliable workload estimates. We report a new algorithm for computing weights from qualitative fuzzy integrals and apply it to the National Aeronautics and Space Administration -Task Load indeX (NASA-TLX) subscales in order to replace the standard pair-wise weighting technique (PWT). In this paper, two empirical studies were reported: (1) In a laboratory experiment, age- and task-related variables were investigated in 53 male volunteers and (2) In a field study, task- and job-related variables were studied on aircrews during 48 commercial flights. The results found in this study were as follows: (i) in the experimental setting, fuzzy estimates were highly correlated with classical (using PWT) estimates; (ii) in real work conditions, replacing PWT by automated fuzzy treatments simplified the NASA-TLX completion; (iii) the algorithm for computing fuzzy estimates provides a new classification procedure sensitive to various variables of work environments and (iv) subjective and objective measures can be used for the fuzzy aggregation of NASA-TLX subscales. Practitioner Summary: NASA-TLX, a classical tool for mental workload assessment, is based on a weighted sum of ratings from six subscales. A new algorithm, which impacts on input data collection and computes weights and indexes from qualitative fuzzy integrals, is evaluated through laboratory and field studies. Pros and cons are discussed.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fuzzy-TLX: using fuzzy integrals for evaluating human mental workload with NASA-Task Load indeX in laboratory and field studies


    Beteiligte:
    Mouze-Amady, Marc (Autor:in) / Raufaste, Eric (Autor:in) / Prade, Henri (Autor:in) / Meyer, Jean-Pierre (Autor:in)

    Erschienen in:

    Ergonomics ; 56 , 5 ; 752-763


    Erscheinungsdatum :

    2013


    Format / Umfang :

    12 Seiten




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Evaluating NASA Scientists’ Perspectives of the NASA Task Load Index

    McCoy, Eric M. / Kazemi, Ellie / Ptah, Adisa et al. | AIAA | 2023



    NASA Task Load Index (TLX)

    Hart, Sandra G. | NTRS | 1986


    The Effect of Previous Level of Workload on the NASA Task Load Index (TLX) in a Simulated Flight Task

    Moroney, B. F. / Reising, J. / Biers, D. W. et al. | British Library Conference Proceedings | 1994