Next Article in Journal
The Legal Framework for Space Debris Remediation as a Tool for Sustainability in Outer Space
Next Article in Special Issue
Uncertainty Management at the Airport Transit View
Previous Article in Journal / Special Issue
Simulation of Random Events for Air Traffic Applications
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
Aerospace 2018, 5(2), 54; https://doi.org/10.3390/aerospace5020054

Faster Command Input Using the Multimodal Controller Working Position “TriControl”

1
German Aerospace Center (DLR), Institute of Flight Guidance, Lilienthalplatz 7, 38108 Braunschweig, Germany
2
Federal Aviation Administration (FAA), William J. Hughes Technical Center, Atlantic City International Airport, Egg Harbor Township, NJ 08405, USA
3
Deutsche Flugsicherung GmbH, Academy, Am DFS-Campus, 63225 Langen, Germany
*
Author to whom correspondence should be addressed.
Received: 6 April 2018 / Revised: 27 April 2018 / Accepted: 4 May 2018 / Published: 8 May 2018
(This article belongs to the Collection Air Transportation—Operations and Management)
Full-Text   |   PDF [4179 KB, uploaded 8 May 2018]   |  

Abstract

TriControl is a controller working position (CWP) prototype developed by German Aerospace Center (DLR) to enable more natural, efficient, and faster command inputs. The prototype integrates three input modalities: speech recognition, eye tracking, and multi-touch sensing. Air traffic controllers may use all three modalities simultaneously to build commands that will be forwarded to the pilot and to the air traffic management (ATM) system. This paper evaluates possible speed improvements of TriControl compared to conventional systems involving voice transmission and manual data entry. 26 air traffic controllers participated in one of two air traffic control simulation sub-studies, one with each input system. Results show potential of a 15% speed gain for multimodal controller command input in contrast to conventional inputs. Thus, the use and combination of modern human machine interface (HMI) technologies at the CWP can increase controller productivity. View Full-Text
Keywords: air traffic controller; human machine interaction; human computer interaction; multimodality; eye tracking; automatic speech recognition; multi-touch gestures; controller command; speed gain air traffic controller; human machine interaction; human computer interaction; multimodality; eye tracking; automatic speech recognition; multi-touch gestures; controller command; speed gain
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ohneiser, O.; Jauer, M.; Rein, J.R.; Wallace, M. Faster Command Input Using the Multimodal Controller Working Position “TriControl”. Aerospace 2018, 5, 54.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Aerospace EISSN 2226-4310 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top