Multimodal human aerobotic interaction
Multimodal human aerobotic interaction
This chapter discusses HCI interfaces used in controlling aerial robotic systems (otherwise known as aerobots). The autonomy control level of aerobot is also discussed. However, due to the limitations of existing models, a novel classification model of autonomy, specifically designed for multirotor aerial robots, called the navigation control autonomy (nCA) model is also developed. Unlike the existing models such as the AFRL and ONR, this model is presented in tiers and has a two-dimensional pyramidal structure. This model is able to identify the control void existing beyond tier-one autonomy components modes and to map the upper and lower limits of control interfaces. Two solutions are suggested for dealing with the existing control void and the limitations of the RC joystick controller – the multimodal HHI-like interface and the unimodal BCI interface. In addition to these, some human factors based performance measurement is recommended, and the plans for further works presented.
Aerobot, Control, Gesture, HCI, Interface, Multimodal, nCA, Unimodal
39-62
Abioye, Ayodeji, Opeyemi
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Prior, Stephen
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Thomas, Trevor
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Saddington, Peter
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Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
15 March 2017
Abioye, Ayodeji, Opeyemi
dbab5a92-c958-442f-b102-8ca2e4cf874f
Prior, Stephen
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Thomas, Trevor
bccfa8da-6c8b-4eec-b593-00587d3ce3cc
Saddington, Peter
5f3b9162-2a5d-4cae-8cfc-a5116d3edef6
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Abioye, Ayodeji, Opeyemi, Prior, Stephen, Thomas, Trevor, Saddington, Peter and Ramchurn, Sarvapali
(2017)
Multimodal human aerobotic interaction.
In,
Issa, Tomayess, Kommers, Piet, Issa, Theodora, Isaías, Pedro and Issa, Touma B.
(eds.)
Smart Technology Applications in Business Environments.
(Advances in Business Information Systems and Analytics (ABISA))
Pennsylvania, USA.
IGI Global, .
(doi:10.4018/978-1-5225-2492-2.ch003).
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Book Section
Abstract
This chapter discusses HCI interfaces used in controlling aerial robotic systems (otherwise known as aerobots). The autonomy control level of aerobot is also discussed. However, due to the limitations of existing models, a novel classification model of autonomy, specifically designed for multirotor aerial robots, called the navigation control autonomy (nCA) model is also developed. Unlike the existing models such as the AFRL and ONR, this model is presented in tiers and has a two-dimensional pyramidal structure. This model is able to identify the control void existing beyond tier-one autonomy components modes and to map the upper and lower limits of control interfaces. Two solutions are suggested for dealing with the existing control void and the limitations of the RC joystick controller – the multimodal HHI-like interface and the unimodal BCI interface. In addition to these, some human factors based performance measurement is recommended, and the plans for further works presented.
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Multimodal Human Aerobotic Interaction
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Published date: 15 March 2017
Keywords:
Aerobot, Control, Gesture, HCI, Interface, Multimodal, nCA, Unimodal
Organisations:
Agents, Interactions & Complexity, Computational Engineering & Design Group, Aerodynamics & Flight Mechanics Group, Education Hub
Identifiers
Local EPrints ID: 406888
URI: http://eprints.soton.ac.uk/id/eprint/406888
ISSN: 2327-3275
PURE UUID: 07382ac6-0578-450f-afd2-dfed90a23260
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Date deposited: 25 Mar 2017 02:05
Last modified: 10 Apr 2024 01:48
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Contributors
Author:
Trevor Thomas
Author:
Peter Saddington
Author:
Sarvapali Ramchurn
Editor:
Tomayess Issa
Editor:
Piet Kommers
Editor:
Theodora Issa
Editor:
Pedro Isaías
Editor:
Touma B. Issa
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