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129684 - Symmetric evaluation of multimodal human-robot interaction with gaze and standard control.pdf (1.98 MB)

Symmetric evaluation of multimodal human-robot interaction with gaze and standard control

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posted on 2023-05-19, 23:08 authored by Jones, ER, Winyu ChinthammitWinyu Chinthammit, Huang, W, Engelke, U, Lueg, C
Control of robot arms is often required in engineering and can be performed by using different methods. This study examined and symmetrically compared the use of a controller, eye gaze tracker and a combination thereof in a multimodal setup for control of a robot arm. Tasks of different complexities were defined and twenty participants completed an experiment using these interaction modalities to solve the tasks. More specifically, there were three tasks: the first was to navigate a chess piece from a square to another pre-specified square; the second was the same as the first task, but required more moves to complete; and the third task was to move multiple pieces to reach a solution to a pre-defined arrangement of the pieces. Further, while gaze control has the potential to be more intuitive than a hand controller, it suffers from limitations with regard to spatial accuracy and target selection. The multimodal setup aimed to mitigate the weaknesses of the eye gaze tracker, creating a superior system without simply relying on the controller. The experiment shows that the multimodal setup improves performance over the eye gaze tracker alone (p < 0.05) and was competitive with the controller only setup, although did not outperform it (p > 0.05).

History

Publication title

Symmetry

Volume

10

Issue

12

Article number

680

Number

680

Pagination

1-15

ISSN

2073-8994

Department/School

School of Information and Communication Technology

Publisher

MDPIAG

Place of publication

Switzerland

Rights statement

Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the information and computing sciences

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