Authors:
Kolja Kühnlenz
1
;
Sergej Hermann
1
;
Kevin Kalb
1
;
Lucas Marschollek
1
and
Barbara Kühnlenz
2
Affiliations:
1
Robotics Research Lab, Department of Electrical Engineering and Computer Science, Coburg University of Applied Sciences and Arts, D-96450 Coburg and Germany
;
2
Institute for Cognitive Systems, Department of Electrical Engineering and Information Technology, TU Munich, D-80290 Munich and Germany
Keyword(s):
Robotics, Human-robot Interaction, Human Factors.
Related
Ontology
Subjects/Areas/Topics:
Human Factors & Human-System Interface
;
Human-Robots Interfaces
;
Industrial Automation and Robotics
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
Abstract:
This paper investigates the progression of human hand trajectory variabilities during a pick-and-place task. A user study is conducted and human hand positions are tracked optically. Standard deviations of human hand positions over all trajectories within a trial are computed point-wise orthogonally to the direct path between start and goal positions. Statistical tests reveal a decrease of standard deviations from hand start to goal positions. Moreover, stronger variations of standard deviations are noted in during the center part of the trajectories. Contrary to expectations, a longitudinal study design does not reveal learning effects in terms of reduction of trajectory variabilities. The results suggest, that uncertainties of human hand positions increase with the distance to a goal location and could constitute a larger risk for collisions within a cooperative human-robot pick-and-place scenario, e.g. assembly.