Evaluating Support Functions for Robot Teleoperation by Merging and Switching Multi-View Images to Balance Between Task Motivation and Efficiency for Persons With Motor Dysfunctions

Abstract

In this study, we developed some support functions for robot teleoperation by merging multi-view images to aid the social participation of persons with motor dysfunctions, specifically employment tasks. Throughout the experiment, we analyzed each process of an object-carrying task separately to determine the optimal balance between efficiency and workload for task motivation. The study found that the impact of each support function differs in each process, and we hypothesized that a function that automatically manages these switching operations would be effective in supporting. After evaluation, some indices suggested that work efficiency increased and workload reduced, while others suggested an increase in workload. In the future, we will examine the effects on task motivation in detail from the perspectives of a sense of agency and satisfaction.