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


Jones, ER and Chinthammit, W and Huang, W and Engelke, U and Lueg, C, Symmetric evaluation of multimodal human-robot interaction with gaze and standard control, Symmetry, 10, (12) Article 680. ISSN 2073-8994 (2018) [Refereed Article]


Copyright Statement

Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3390/sym680120000


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).

Item Details

Item Type:Refereed Article
Keywords:multimodal interaction; eye tracking; empirical evaluation; human–robot interaction
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Jones, ER (Mr Ethan Jones)
UTAS Author:Chinthammit, W (Dr Winyu Chinthammit)
UTAS Author:Lueg, C (Professor Christopher Lueg)
ID Code:129684
Year Published:2018
Web of Science® Times Cited:2
Deposited By:Information and Communication Technology
Deposited On:2018-12-12
Last Modified:2019-02-26
Downloads:75 View Download Statistics

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