Abstract
The decades-old Trail-Making Test has established itself as an effective and versatile cognitive testing tool. However, its reliance on a paper-and-pencil method of administration severely limits its capabilities for quantitative evaluation. We evaluate input data via sketch recognition algorithms on a digitized version of the Trail-Making Test, as well as exploring the viability of a novel touch-based version designed around the basic concepts of the traditional paper-and-pencil exam. Two quantitative studies helped evaluate the viability of these digital examinations: the first builds a normative data set that shows a stable increase in test completion times with a lower overall skewness, while the second indicates the new examination’s capability to perform behavioral classification based on participant nationality by correctly classifying input behavior with up to 96% accuracy.
