Abstract
The present paper proposed gaze metrics that represent visual scanning patterns of clinical engineers performing hemodialysis operations. To perform a feasibility study, a series of five-month observations were carried out in a hospital to collect eye-movement data from two novices and one expert. By applying the metrics proposed, we conducted comparative analyses among the novice and expert engineers. In the novices' data, we found a learning tendency in metrics relating to efficient information acquisition in the current task. In addition, we found that the expert differed from novices in terms of efficient visual scanning for anticipation of the future status. Based on our findings, the feasibility of metrics as well as characteristics of learning processes of novices were discussed.
