Pressure sensing technology for remote control: Can we motivate users to stay on the learning curve?
Emily M. Crowe, Simon Castle-Green, Daisy Beecroft, Praminda Caleb-Solly

TL;DR
This study explores how motivation affects learning to use a pressure sensing mat for controlling a virtual robot, finding that adjusting task difficulty based on skill level does not increase engagement.
Contribution
The paper introduces a novel approach to learning novel control systems by focusing on motivation rather than acceleration of learning.
Findings
Participants could learn to use the pressure sensing mat for remote control.
Adapting task difficulty based on skill level did not increase the time participants were willing to invest in the game.
Abstract
Learning to use a novel human-in-the-loop control system is often a slow and frustrating process due to the need to understand new interaction paradigms. Unsurprisingly, research has commonly focused on identifying methods to accelerate such learning. In this paper we consider an alternative approach of motivating learners to persist with their learning. If learners are motivated to continue investing time in using a novel control system they will transition to proficiency, albeit at different timescales. Participants controlled the movements of a virtual robot in real-time by adjusting their movements whilst seated on a pressure sensing mat. In two experiments, participants played a game where their task was to move a virtual robot to collect targets as quickly as possible. Targets were only presented for a fixed duration such that participants received binary reward feedback dependent…
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Taxonomy
TopicsMotor Control and Adaptation · Virtual Reality Applications and Impacts · Teleoperation and Haptic Systems
