Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions

Complementary protective measures are of increasing importance with rising degree automation. As free robots become part our daily life in industry, on shop floors and beyond, the overall safety persons has to be ensured. However, assessing reliability complementary functions remains a challenge, particularly when humans loop. The paper shows how use eye-tracking methodology gain data for human interaction machine interfaces measures. first identifies factors relevant eye-tracking, then selects related eye tracking test parameters finally provides systematic procedure assess both, particular regarding visibility susceptibility. is applied parameter selection validated. It found that identified measured fixation count area interest (AOI) associated average visit duration can used factor perceptibility. deviation thereby usability. Based this, full-scale assessment proposed supplementary In summary, preliminary run execution technology promising method measuring quantifying interacting safety-related human-machine interfaces.