Ubiquitous Computing: Driving in the Intelligent Environment
Emanuela Bran,
Elena Bautu,
Dragos Florin Sburlan,
Crenguta Madalina Puchianu and
Dorin Mircea Popovici
Additional contact information
Emanuela Bran: Faculty of Electrical Engineering and Computer Science, “Transilvania” University, 500024 Brasov, Romania
Elena Bautu: Department of Mathematics and Computer Science, “Ovidius” University, 900527 Constanta, Romania
Dragos Florin Sburlan: Department of Mathematics and Computer Science, “Ovidius” University, 900527 Constanta, Romania
Crenguta Madalina Puchianu: Department of Mathematics and Computer Science, “Ovidius” University, 900527 Constanta, Romania
Dorin Mircea Popovici: Faculty of Electrical Engineering and Computer Science, “Transilvania” University, 500024 Brasov, Romania
Mathematics, 2021, vol. 9, issue 21, 1-24
Abstract:
In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, we wish to make the most of the data available from the various sensors, devices and services that compose the ecosystem, in order to propose a proof of concept in-vehicle system that enhances the driving experience. We focus on improving the driving experience along three main directions, namely: (1) driving and trip planning, (2) health and well-being and (3) social and online activities. We approached the in-vehicle space as a smart interface to the intelligent driving environment. The digital data-producers in the ecosystem of the connected car are sources of raw data of various categories, such as data from the outside world, gathered from sensors or online services, data from the car itself and data from the driver gathered with various mobile and wearable devices, by means of observing his state and by means of his social media and online activity. Data is later processed into three information categories—driving, wellness, and social—and used to provide multi-modal interaction, namely visual, audio and gesture. The system is implemented to act in response to the trafficked information on different levels of autonomy, either in a reactive manner, by simple monitoring, or in a proactive manner. The system is designed to provide an in-vehicle system that assists the driver with planning the travel ( Drive panel ), by providing a comfortable environment for the driver while monitoring him ( Wellness panel ), and by adaptively managing interactions with their phone and the digital environment ( Social panel ). Heuristic evaluation of the system is performed, with respect to guidelines formulated for automated vehicles, and a SWOT analysis of the system is also presented in the paper.
Keywords: ubiquitous computing; smart cars; natural interfaces; multimodal interaction; smart devices; gesture input; voice input (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/9/21/2649/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/21/2649/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:21:p:2649-:d:660478
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().