Prof Vassilis Charisis V.Charisis@napier.ac.uk
Professor
This paper introduces a novel design for an automotive full-windshieldHead-Up Display (HUD) interface which aims to improve the driver’sspatial awareness and response times under low visibility conditions. Wehave further designed and implemented a working prototype of a HumanMachine Interface (HMI) to fulfil these requirements. Particular emphasiswas placed on the prioritisation and effective presentation of informationavailable through vehicular sensors, which would assist, withoutdistracting, the driver in successfully navigating the vehicle under lowvisibility conditions. The proposed interface is based on minimalistic visualrepresentations of real objects to offer a new form of interactive guidancefor motorway environments. Overall, this paper discusses the designchallenges of such a human-machine system, elaborates on the interfacedesign philosophy and presents the outcome of our user trials thatcontrasted the use of our proposed HUD against a typical Head-DownDisplay (HDD).
Charissis, V., & Papanastasiou, S. (2006, September). Human-machine collaboration through vehicle head up display interface. Presented at EAM’06 European Annual Conference on Human Decision-Making and Manual Control, Valenciennes, France
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | EAM’06 European Annual Conference on Human Decision-Making and Manual Control |
Start Date | Sep 27, 2006 |
Publication Date | 2006 |
Deposit Date | Jul 7, 2023 |
Book Title | Proceedings of EAM’06 European Annual Conference on Human Decision-Making and Manual Control |
Keywords | human machine interaction; head up display; human performance; collision avoidance; driving scenarios; driving simulation; decision making; user experience; instrumentation |
Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments
(2024)
Presentation / Conference Contribution
Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety
(2023)
Presentation / Conference Contribution
Use and operational safety
(2023)
Book Chapter
A stacking ensemble of deep learning models for IoT intrusion detection
(2023)
Journal Article
Federated Learning for IoT Intrusion Detection
(2023)
Journal Article
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search