Ubiquitous Computing: Driving in the Intelligent Environment

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 experienc...

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Autores principales:	Emanuela Bran, Elena Bautu, Dragos Florin Sburlan, Crenguta Madalina Puchianu, Dorin Mircea Popovici
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	ubiquitous computing smart cars natural interfaces multimodal interaction smart devices gesture input Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/3e2fa70d76354a1db690fc2e39f01806
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id	oai:doaj.org-article:3e2fa70d76354a1db690fc2e39f01806
record_format	dspace
spelling	oai:doaj.org-article:3e2fa70d76354a1db690fc2e39f018062021-11-11T18:13:42ZUbiquitous Computing: Driving in the Intelligent Environment10.3390/math92126492227-7390https://doaj.org/article/3e2fa70d76354a1db690fc2e39f018062021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2649https://doaj.org/toc/2227-7390In 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 (<i>Drive panel</i>), by providing a comfortable environment for the driver while monitoring him (<i>Wellness panel</i>), and by adaptively managing interactions with their phone and the digital environment (<i>Social panel</i>). 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.Emanuela BranElena BautuDragos Florin SburlanCrenguta Madalina PuchianuDorin Mircea PopoviciMDPI AGarticleubiquitous computingsmart carsnatural interfacesmultimodal interactionsmart devicesgesture inputMathematicsQA1-939ENMathematics, Vol 9, Iss 2649, p 2649 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ubiquitous computing smart cars natural interfaces multimodal interaction smart devices gesture input Mathematics QA1-939
spellingShingle	ubiquitous computing smart cars natural interfaces multimodal interaction smart devices gesture input Mathematics QA1-939 Emanuela Bran Elena Bautu Dragos Florin Sburlan Crenguta Madalina Puchianu Dorin Mircea Popovici Ubiquitous Computing: Driving in the Intelligent Environment
description	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 (<i>Drive panel</i>), by providing a comfortable environment for the driver while monitoring him (<i>Wellness panel</i>), and by adaptively managing interactions with their phone and the digital environment (<i>Social panel</i>). 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.
format	article
author	Emanuela Bran Elena Bautu Dragos Florin Sburlan Crenguta Madalina Puchianu Dorin Mircea Popovici
author_facet	Emanuela Bran Elena Bautu Dragos Florin Sburlan Crenguta Madalina Puchianu Dorin Mircea Popovici
author_sort	Emanuela Bran
title	Ubiquitous Computing: Driving in the Intelligent Environment
title_short	Ubiquitous Computing: Driving in the Intelligent Environment
title_full	Ubiquitous Computing: Driving in the Intelligent Environment
title_fullStr	Ubiquitous Computing: Driving in the Intelligent Environment
title_full_unstemmed	Ubiquitous Computing: Driving in the Intelligent Environment
title_sort	ubiquitous computing: driving in the intelligent environment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3e2fa70d76354a1db690fc2e39f01806
work_keys_str_mv	AT emanuelabran ubiquitouscomputingdrivingintheintelligentenvironment AT elenabautu ubiquitouscomputingdrivingintheintelligentenvironment AT dragosflorinsburlan ubiquitouscomputingdrivingintheintelligentenvironment AT crengutamadalinapuchianu ubiquitouscomputingdrivingintheintelligentenvironment AT dorinmirceapopovici ubiquitouscomputingdrivingintheintelligentenvironment
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Ubiquitous Computing: Driving in the Intelligent Environment

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