Visualization of Intended Assistance for Acceptance of Shared Control
This addresses acceptance issues for users of shared control robotic systems, but it is incremental as it builds on existing visualization methods.
The paper tackled the problem of low user acceptance in shared control systems for robotics, despite their performance benefits, by developing and testing visualizations to improve legibility and predictability; results showed that effective visualizations require careful design to encourage voluntary control relinquishment.
In shared control, advances in autonomous robotics are applied to help empower a human user in operating a robotic system. While these systems have been shown to improve efficiency and operation success, users are not always accepting of the new control paradigm produced by working with an assistive controller. This mismatch between performance and acceptance can prevent users from taking advantage of the benefits of shared control systems for robotic operation. To address this mismatch, we develop multiple types of visualizations for improving both the legibility and perceived predictability of assistive controllers, then conduct a user study to evaluate the impact that these visualizations have on user acceptance of shared control systems. Our results demonstrate that shared control visualizations must be designed carefully to be effective, with users requiring visualizations that improve both legibility and predictability of the assistive controller in order to voluntarily relinquish control.