research-article

Evaluating the distraction potential of connected vehicles

Authors:

Dario D. SalvucciAuthors Info & Claims

AutomotiveUI '12: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 33 - 40

https://doi.org/10.1145/2390256.2390261

Published: 17 October 2012 Publication History

Abstract

Connected vehicles offer great potential for new sources of information, but may also introduce new sources of distraction. This paper compares three methods to quantify distraction, and focuses on one method: computational models of driver behavior. An integration of a saliency map and the Distract-R prototyping and evaluation system is proposed as a potential model. The saliency map captures the bottom-up influences of visual attention and this influence is integrated with top-down influences captured by Distract-R. The combined model will assess the effect of coordinating salient visual features and drivers' expectations, and in using both together, generate more robust predictions of performance.

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Cited By

Wang FChang CIgarashi T(2023)Direct or�Indirect: A Video Experiment for�In-vehicle Alert SystemsHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35908-8_17(245-259)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35908-8_17
Baumgardner GHoekstra-Atwood LM. Prendez D(2020)Concepts of Connected Vehicle Applications12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409120.3410640(280-290)Online publication date: 21-Sep-2020
https://dl.acm.org/doi/10.1145/3409120.3410640
Hemmert FLohkamp GOrak GSalice APreim BN�rnberger AHansen C(2020)Feeling scarcityProceedings of Mensch und Computer 202010.1145/3404983.3409998(421-423)Online publication date: 6-Sep-2020
https://dl.acm.org/doi/10.1145/3404983.3409998
Show More Cited By

Index Terms

Evaluating the distraction potential of connected vehicles
1. General and reference
  1. Document types
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Integrated and visual development environments

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Published In

cover image ACM Other conferences

AutomotiveUI '12: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

October 2012

280 pages

ISBN:9781450317511

DOI:10.1145/2390256

General Chair:
Andrew L. Kun
University of New Hampshire
,
Program Chairs:
Linda Boyle
University of Washington
,
Bryan Reimer
Massachusetts Institute of Technology
,
Andreas Riener
University of Linz
,
Jennifer Healey
Intel Corporation
,
Wei Zhang
Tsinghua University
,
Publications Chairs:
Bastian Pfleging
University of Stuttgart
,
Marc Kurz
University of Linz

Copyright � 2012 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2012

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AutomotiveUI '12

AutomotiveUI '12: International Conference on Automotive User Interfaces and Interactive Vehicular Applications

October 17 - 19, 2012

New Hampshire, Portsmouth

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Wang FChang CIgarashi T(2023)Direct or�Indirect: A Video Experiment for�In-vehicle Alert SystemsHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-35908-8_17(245-259)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35908-8_17
Baumgardner GHoekstra-Atwood LM. Prendez D(2020)Concepts of Connected Vehicle Applications12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409120.3410640(280-290)Online publication date: 21-Sep-2020
https://dl.acm.org/doi/10.1145/3409120.3410640
Hemmert FLohkamp GOrak GSalice APreim BN�rnberger AHansen C(2020)Feeling scarcityProceedings of Mensch und Computer 202010.1145/3404983.3409998(421-423)Online publication date: 6-Sep-2020
https://dl.acm.org/doi/10.1145/3404983.3409998
Singh GChen TRobucci RPatel CBanerjee N(2016)distratto: Impaired Driving Detection Using Textile SensorsIEEE Sensors Journal10.1109/JSEN.2015.249122516:8(2666-2673)Online publication date: Apr-2016
https://doi.org/10.1109/JSEN.2015.2491225
Deshpande ARahaman MBanerjee NBobda CRobucci R(2014)Multi-modal Sensing for Distracted Driving Mitigation Using Cameras and CrowdsourcingDistributed Embedded Smart Cameras10.1007/978-1-4614-7705-1_12(257-272)Online publication date: 5-Jun-2014
https://doi.org/10.1007/978-1-4614-7705-1_12
Lee JLee JSalvucci D(2013)A Saliency-Based Search ModelProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/154193121357143257:1(1933-1937)Online publication date: 30-Sep-2013
https://doi.org/10.1177/1541931213571432

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