Abstract
With the expectation of the electronics devices more convenient and accessible, this anticipation leads to a popular trend of developing smaller or thinner devices. To assemble those small pieces of components is not an easy task as we imagined. The assembler need have great hand eye coordination in order to quickly complete those tasks and reach expected output. The aim of this study is to develop hand eye coordination assessments which can assess through tablets. By this method the assessment would become easier, more convenient also the collection of data would be more efficient. We also test the effectiveness of our developed assessment to ensure its practical use in the industrial field. The study consists of 2 parts. The first part is the development of a new assessment and the second part is the evaluation of effectiveness of newly developed tracing task. In the second part we had 20 participants performing 3 tasks 3 times in a random order, and fulfill each task at 3 times, including newly developed tablet tracing task, Purdue Pegboard and phone assembly task. We took the performance of each tests and performed correlation test to see whether the tracing test result could reflect the performance on Purdue Pegboard and the phone assembly task. The correlational results shows that tracing time significantly positively correlated with phone assembly. This correlation even reach a stong linear relationship in Pearson correlation test(r=0.715). However, correlations between Purdue Pegboard subsets and phone assembly, there is significant correlation only between Purdue Pedboard Both hands and phone assembly(r=-0.424). This experiment suggests that for this kind of assembly task, tracing is a more suitable tool for personnel selection compared to Purdue Pegboard