Productive breaks in mentally challenging tasks: Comparing free-time pauses to stretching sessions guided by a social robot

PROCEEDINGS OF THE 11TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2023(2023)

Cited 0|Views2
No score
Abstract
Performing breaks during long periods of mentally demanding activities is a simple and effective solution to briefly rest the brain and regain concentration. Furthermore, the way we use this break time may have different impacts on the task outcomes. Social assistive robots are commonly used to coach users and boost their motivation, but little is explored about their capability of guiding and supervising effective pauses focused on performance gain in cognitive tasks. This study investigated the effects of two different types of breaks, stretching/breathing exercises versus free-time, taking place in a Human-Robot Interaction of short-term memory games. The stretching was autonomously guided and supervised by a robot using machine learning methods to recognise the poses. Results showed that the type of break affects the performance differently according to the type of task, both types of breaks decreased participants' stress levels. However, the stretching/breathing intervention had a higher significant reduction in their stress and was also reported as the preferred one by the participants. No correlation between stress and performance was found.
More
Translated text
Key words
Productive Breaks,HRI forWellbeing,Cognitive Load,Coach Social Robot
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined