Detecting Clues for Skill Levels and Machine Operation Difficulty from Egocentric Vision
This work addresses the problem of assessing operator skill and task difficulty in machine operation environments, particularly for novices, but it is incremental as it applies existing methods to a new dataset.
The study tackled the problem of understanding how skill level and operational difficulty are reflected in operator behaviors during machine operation tasks, using egocentric vision data from 40 amateur sewing machine operators. The results showed that pure-gazing behavior significantly decreased with improved skill, and hand-approaching duration and attention movement frequency strongly correlated with operational difficulty.
With respect to machine operation tasks, the experiences from different skill level operators, especially novices, can provide worthy understanding about the manner in which they perceive the operational environment and formulate knowledge to deal with various operation situations. In this study, we describe the operator's behaviors by utilizing the relations among their head, hand, and operation location (hotspot) during the operation. A total of 40 experiences associated with a sewing machine operation task performed by amateur operators was recorded via a head-mounted RGB-D camera. We examined important features of operational behaviors in different skill level operators and confirmed their correlation to the difficulties of the operation steps. The result shows that the pure-gazing behavior is significantly reduced when the operator's skill improved. Moreover, the hand-approaching duration and the frequency of attention movement before operation are strongly correlated to the operational difficulty in such machine operating environments.