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Using an eye-tracker, this paper investigates people measurement performance as well as the accuracy of people measures the peaks on the MRS graphs that correspond to chemical quantities and its affect to the algorithm-based diagnosis. The experiment involves three participants each examined 20 MRS graphs to estimate peaks of chemical quantities in the brain for indications of abnormalities associated with Cerebellar Tumours (CT). Then, the status of each MRS results was verified using decision algorithm. During the experiment, measurement of peaks and eye movement of the participants are recorded. Results show that people are making error in estimation and it’s likely to be underestimate or/and overestimate errors. This preliminary investigation provides a proof of concept for use of the eyetracking technology as the basis for expanded CT diagnosis. Nevertheless, it is tempting to speculate on the potential usefulness of these results if verified by larger samples.