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Journals / Gazi University Journal of Science / 2014 / Cilt: 27 - Sayı: 4

USING OUTPUTS OF NASA-TLX FOR BUILDING A MENTAL WORKLOAD EXPERT SYSTEM

Alper ŞEKER
Alper SEKER
Pages
1131–1142
Publication Date
2014-03-26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the second phase of the study, output of NASA-TLX is used by AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) methods to construct an expert system for choosing an executive expert from TEYDEB’s expert pool.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, we evaluate the effect of demographic factors such as age, gender, marital status, and education level on mental workload of TEYDEB’s (Technology & Innovation Grant Programs Directorate) experts working in basic stages of R&D projects evaluation activities.
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Key Findings & Data:We make statistical analyses to measure the effectiveness of 6 scales used in NASA-TLX for evaluating the subjective mental workload of TEYDEB’s experts.
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Conclusion & Impact:In the second phase of the study, output of NASA-TLX is used by AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) methods to construct an expert system for choosing an executive expert from TEYDEB’s expert pool.
🔬Design:Lab & Field Experiment
📍Scope:Comprehensive Sample
⚙️Variables:Mental workload · NASA-TLX · AHP

Abstract

In this study, we evaluate the effect of demographic factors such as age, gender, marital status, and education level on mental workload of TEYDEB’s (Technology & Innovation Grant Programs Directorate) experts working in basic stages of R&D projects evaluation activities. One of the workload measurement techniques, NASA-TLX is chosen since it is the most convenient measurement technique for the experiment groups used in this study. We make statistical analyses to measure the effectiveness of 6 scales used in NASA-TLX for evaluating the subjective mental workload of TEYDEB’s experts. In the second phase of the study, output of NASA-TLX is used by AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) methods to construct an expert system for choosing an executive expert from TEYDEB’s expert pool.

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Cite This Article

ŞEKER, A., SEKER, A. (2014). USING OUTPUTS OF NASA-TLX FOR BUILDING A MENTAL WORKLOAD EXPERT SYSTEM. Gazi University Journal of Science, Cilt: 27 - Sayı: 4, 1131–1142. https://ajindex.com/articles/255158

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