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Symmetric evaluation of multimodal human-robot interaction with gaze and standard control
Citation
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]
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Copyright Statement
Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Abstract
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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