research-article

Enabling micro-entertainment in vehicles based on context information

Authors:

Fabian Schulte,

Bastian Pfleging,

Alireza Sahami Shirazi,

Albrecht SchmidtAuthors Info & Claims

AutomotiveUI '10: Proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 117 - 124

https://doi.org/10.1145/1969773.1969794

Published: 11 November 2010 Publication History

Abstract

People spend a significant amount of time in their cars (US: 86 minutes/day, Europe: 43 minutes/day) while commuting, shopping, or traveling. Hence, the variety of entertainment in the car increases, and many vehicles are already equipped with displays, allowing for watching news, videos, accessing the Internet, or playing games. At the same time, the urbanization caused a massive increase of traffic volume, which led to people spending an ever-increasing amount of their time in front of red traffic lights. An observation of the prevailing forms of entertainment in the car reveals that content such as text, videos, or games are often a mere adaptation of content produced for television, public displays, PCs, or mobile phones and do not adapt to the situation in the car. In this paper we report on a web survey assessing which forms of entertainment and which types of content are considered to be useful for in-car entertainment by drivers. We then introduce an algorithm, which is capable of learning standing times in front of traffic lights based on GPS information only. This, on one hand, allows for providing content of appropriate length, on the other hand, for directing the attention of the driver back to-wards the street at the right time. Finally, we present a prototype implementation and a qualitative evaluation.

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Cited By

Surapaneni PBojjagani SBharathi VKumar Morampudi MKumar Maurya AKhurram Khan M(2024)A Systematic Review on Blockchain-Enabled Internet of Vehicles (BIoV): Challenges, Defenses, and Future Research DirectionsIEEE Access10.1109/ACCESS.2024.345343312(123529-123560)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3453433
Draxler FBrenner JEska MSchmidt AChuang L(2022)Agenda- and Activity-Based Triggers for MicrolearningProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511133(620-632)Online publication date: 22-Mar-2022
https://dl.acm.org/doi/10.1145/3490099.3511133
Teodorovicz TKun ASadun RShaer O(2022)Multitasking while drivingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102789162:COnline publication date: 16-May-2022
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102789
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Index Terms

Enabling micro-entertainment in vehicles based on context information
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Published In

cover image ACM Other conferences

AutomotiveUI '10: Proceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications

November 2010

160 pages

ISBN:9781450304375

DOI:10.1145/1969773

Conference Chairs:
Anind K. Dey
Carnegie Mellon University
,
Albrecht Schmidt
University of Duisburg-Essen, Germany
,
Program Chairs:
Susanne Boll
University of Oldenburg, German
,
Andrew L. Kun
University of New Hampshire

Copyright © 2010 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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Carnegie Mellon University: Carnegie Mellon University

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2010

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AutomotiveUI '10

Sponsor:

Carnegie Mellon University

AutomotiveUI '10: International Conference on Automotive User Interfaces and Interactive Vehicular Applications

November 11 - 12, 2010

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Surapaneni PBojjagani SBharathi VKumar Morampudi MKumar Maurya AKhurram Khan M(2024)A Systematic Review on Blockchain-Enabled Internet of Vehicles (BIoV): Challenges, Defenses, and Future Research DirectionsIEEE Access10.1109/ACCESS.2024.345343312(123529-123560)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3453433
Draxler FBrenner JEska MSchmidt AChuang L(2022)Agenda- and Activity-Based Triggers for MicrolearningProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511133(620-632)Online publication date: 22-Mar-2022
https://dl.acm.org/doi/10.1145/3490099.3511133
Teodorovicz TKun ASadun RShaer O(2022)Multitasking while drivingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102789162:COnline publication date: 16-May-2022
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102789
Braun MWeber FAlt F(2021)Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the CarACM Computing Surveys10.1145/346093854:7(1-26)Online publication date: 17-Sep-2021
https://dl.acm.org/doi/10.1145/3460938
Detjen HFaltaous SPfleging BGeisler SSchneegass S(2021)How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A ReviewInternational Journal of Human–Computer Interaction10.1080/10447318.2020.186051737:4(308-330)Online publication date: 1-Jan-2021
https://doi.org/10.1080/10447318.2020.1860517
Detjen HPfleging BSchneegass S(2020)A Wizard of Oz Field Study to Understand Non-Driving-Related Activities, Trust, and Acceptance of Automated Vehicles12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409120.3410662(19-29)Online publication date: 21-Sep-2020
https://dl.acm.org/doi/10.1145/3409120.3410662
Braun MLi JWeber FPfleging BButz AAlt F(2020)What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3403530(1-12)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3379503.3403530
Ayoub JZhou FBao SYang X(2019)From Manual Driving to Automated DrivingProceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3342197.3344529(70-90)Online publication date: 21-Sep-2019
https://dl.acm.org/doi/10.1145/3342197.3344529
Lakier MNacke LIgarashi TVogel DArnedo JNacke LVanden Abeele VToups Dugas P(2019)Cross-Car, Multiplayer Games for Semi-Autonomous DrivingProceedings of the Annual Symposium on Computer-Human Interaction in Play10.1145/3311350.3347166(467-480)Online publication date: 17-Oct-2019
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Mihale-Wilson AZibuschka JHinz O(2019)User preferences and willingness to pay for in-vehicle assistanceElectronic Markets10.1007/s12525-019-00330-529:1(37-53)Online publication date: 4-Feb-2019
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