Using Outputs of NASA-TLX for Building a Mental Workload Expert System

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.