research-article

The connected car: an empirical study of electric cars as mobile digital devices

Authors:

Michael K. Svangren,

Mikael B. Skov,

Jesper KjeldskovAuthors Info & Claims

MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

Article No.: 6, Pages 1 - 12

https://doi.org/10.1145/3098279.3098535

Published: 04 September 2017 Publication History

Abstract

The amount of interactive digital technology in cars is increasing rapidly, and many new cars are shipped with connectivity. As a result, a new platform has emerged that holds potentials to facilitate many new and different interactions, both inside and outside the car. Within the area of HCI for cars, the focus has predominantly been on interactions with in-vehicle systems and applications of technology that is enabled through connectivity. However, we still lack in-depth empirical studies that provide details of the connected car, its use, opinions towards it, and how it integrates into people's everyday lives. We report from a qualitative study of 13 households with connected electric cars. We present our findings in 3 themes of interaction through connectivity, updating and upgrading car software, and security and privacy. We further discuss our findings in 3 themes that might inform and inspire further mobile HCI research with the connected car.

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https://doi.org/10.1007/978-981-99-8289-9_26
Zhang YGuo ZSun T(2023)A Non-Intrusive Automated Testing System for Internet of Vehicles App Based on Deep LearningElectronics10.3390/electronics1213287312:13(2873)Online publication date: 29-Jun-2023
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Index Terms

The connected car: an empirical study of electric cars as mobile digital devices
1. Human-centered computing

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cover image ACM Conferences

MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 2017

874 pages

ISBN:9781450350754

DOI:10.1145/3098279

General Chairs:
Matt Jones
Swansea University
,
Manfred Tscheligi
University of Salzburg and AIT
,
Program Chairs:
Yvonne Rogers
University College London
,
Roderick Murray-Smith
University of Glasgow

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 04 September 2017

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MobileHCI '17

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MobileHCI '17: 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 4 - 7, 2017

Vienna, Austria

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MobileHCI '17 Paper Acceptance Rate 45 of 224 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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26th International Conference on Mobile Human-Computer Interaction

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Cited By

Sun WWang YMiao WWei WGu C(2024)An empirical study on new-energy vehicle users’ preferences of in-vehicle interaction input methodsHeliyon10.1016/j.heliyon.2024.e33376(e33376)Online publication date: Jun-2024
https://doi.org/10.1016/j.heliyon.2024.e33376
Murdan AKissoon N(2024)Implementation and Evaluation of a Secure Keyless Ignition and Integrated Control System for an Arduino-Based Instrumented CarInnovations in Electrical and Electronic Engineering10.1007/978-981-99-8289-9_26(343-355)Online publication date: 28-Jan-2024
https://doi.org/10.1007/978-981-99-8289-9_26
Zhang YGuo ZSun T(2023)A Non-Intrusive Automated Testing System for Internet of Vehicles App Based on Deep LearningElectronics10.3390/electronics1213287312:13(2873)Online publication date: 29-Jun-2023
https://doi.org/10.3390/electronics12132873
Svangren MRaptis DAnanjeva APersson JNielsen P(2022)Postphenomenological Dimensions of Digitally Mediated Domestic HeatingNordic Human-Computer Interaction Conference10.1145/3546155.3546692(1-13)Online publication date: 8-Oct-2022
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Hanesch ABrune PGewald H(2022)Will They Like It? – Understanding Customer Adoption of Connected Car Services within Automotive AftersalesExploring Digital Resilience10.1007/978-3-031-10902-7_8(103-117)Online publication date: 24-Jul-2022
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Barron L(2021)The Road to a Smarter Future: The Smart City, Connected Cars and Autonomous Mobility2021 26th International Conference on Automation and Computing (ICAC)10.23919/ICAC50006.2021.9594125(1-6)Online publication date: 2-Sep-2021
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Grotenhermen JGrimm DSchewe G(2021)Wahrnehmung und Akzeptanz von Predictive Maintenance-Systemen zur Defektvermeidung in AutomobilenMaking Connected Mobility Work10.1007/978-3-658-32266-3_39(637-646)Online publication date: 17-Mar-2021
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Islami LFischer-Hübner SHammond EEloff J(2021)Analysing Drivers’ Preferences for Privacy Enhancing Car-to-Car Communication SystemsPrivacy and Identity Management10.1007/978-3-030-72465-8_7(115-133)Online publication date: 1-Apr-2021
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Lindgren TFors VPink SOsz K(2020)Anticipatory experience in everyday autonomous drivingPersonal and Ubiquitous Computing10.1007/s00779-020-01410-6Online publication date: 6-May-2020
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Jensen RSvangren MSkov MKjeldskov J(2019)Investigating EV Driving as Meaningful PracticeProceedings of the 31st Australian Conference on Human-Computer-Interaction10.1145/3369457.3369461(42-52)Online publication date: 2-Dec-2019
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