Manually Acquiring Targets from Multiple Viewpoints Using Video Feedback
Bailey Ramesh, Anna Konstant, Pragathi Praveena, Emmanuel Senft,, Michael Gleicher, Bilge Mutlu, Michael Zinn, Robert G. Radwin

TL;DR
This study investigates how camera viewpoint affects performance in psychomotor targeting tasks, revealing that certain viewpoints and transitions improve accuracy and efficiency, with implications for optimizing visual feedback in restricted environments.
Contribution
It provides empirical evidence on how static and dynamic viewpoints influence task performance, highlighting the importance of minimizing rotations within the manipulation plane and the potential of PA adjustments.
Findings
Viewpoint azimuthal angle significantly affects performance.
180° viewpoint transition improves task efficiency.
PA rotations have negligible impact on performance.
Abstract
Objective: The effect of camera viewpoint was studied when performing visually obstructed psychomotor targeting tasks. Background: Previous research in laparoscopy and robotic teleoperation found that complex perceptual-motor adaptations associated with misaligned viewpoints corresponded to degraded performance in manipulation. Because optimal camera positioning is often unavailable in restricted environments, alternative viewpoints that might mitigate performance effects are not obvious. Methods: A virtual keyboard-controlled targeting task was remotely distributed to workers of Amazon Mechanical Turk. The experiment was performed by 192 subjects for a static viewpoint with independent parameters of target direction, Fitts' law index of difficulty, viewpoint azimuthal angle (AA), and viewpoint polar angle (PA). A dynamic viewpoint experiment was also performed by 112 subjects in which…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMotor Control and Adaptation · Tactile and Sensory Interactions · Virtual Reality Applications and Impacts
