Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)

Abstract

The widespread day-to-day carrying of powerful smartphones gives opportunities for crowd-sourcing information about the users' activities to gain insight into patterns of use of a large population in cities. Here we report the design and initial investigations into a crowdsourcing approach for sudden decelerations to identify dangerous road sections. Sudden brakes and near misses are much more common than police reportable accidents but under exploited and have the potential for more responsive reaction than waiting for accidents. We also discuss different multimodal feedback conditions to warn drivers approaching a dangerous zone. We believe this crowdsourcing approach gives cost and coverage benefits over infrastructural smart-city approaches but that users need incentivized for use.
LanguageEnglish
Title of host publicationProceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX
Place of PublicationNew York
Pages14-18
Number of pages5
ISBN (Electronic)978-1-4503-4194-3
DOIs
Publication statusPublished - 13 May 2016
EventSEACHI: Smart Cities for Better Living with HCI and UX - San Jose, United States
Duration: 7 May 201612 May 2016
http://uxindo.com/training-ux-indonesia/seachi/

Conference

ConferenceSEACHI
CountryUnited States
CitySan Jose
Period7/05/1612/05/16
Internet address

Fingerprint

Smartphones
Accidents
Railroad cars
Deceleration
Law enforcement
Brakes
Feedback
Costs
Smart city

Keywords

  • smart cities
  • driving interfaces
  • crowdsourcing
  • smartphones
  • public policy issues
  • human safety

Cite this

Dunlop, M. D., Roper, M., Elliott, M., McCartan, R., & McGregor, B. (2016). Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. In Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX (pp. 14-18). New York. https://doi.org/10.1145/2898365.2899796
Dunlop, Mark D ; Roper, Marc ; Elliott, Mark ; McCartan, Rebecca ; McGregor, Bruce. / Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. New York, 2016. pp. 14-18
@inproceedings{e5a317307d3e4a26b5b3741af960baa7,
title = "Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings",
abstract = "The widespread day-to-day carrying of powerful smartphones gives opportunities for crowd-sourcing information about the users' activities to gain insight into patterns of use of a large population in cities. Here we report the design and initial investigations into a crowdsourcing approach for sudden decelerations to identify dangerous road sections. Sudden brakes and near misses are much more common than police reportable accidents but under exploited and have the potential for more responsive reaction than waiting for accidents. We also discuss different multimodal feedback conditions to warn drivers approaching a dangerous zone. We believe this crowdsourcing approach gives cost and coverage benefits over infrastructural smart-city approaches but that users need incentivized for use.",
keywords = "smart cities, driving interfaces, crowdsourcing, smartphones, public policy issues, human safety",
author = "Dunlop, {Mark D} and Marc Roper and Mark Elliott and Rebecca McCartan and Bruce McGregor",
year = "2016",
month = "5",
day = "13",
doi = "10.1145/2898365.2899796",
language = "English",
pages = "14--18",
booktitle = "Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX",

}

Dunlop, MD, Roper, M, Elliott, M, McCartan, R & McGregor, B 2016, Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. in Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. New York, pp. 14-18, SEACHI, San Jose, United States, 7/05/16. https://doi.org/10.1145/2898365.2899796

Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. / Dunlop, Mark D; Roper, Marc; Elliott, Mark; McCartan, Rebecca; McGregor, Bruce.

Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. New York, 2016. p. 14-18.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings

AU - Dunlop, Mark D

AU - Roper, Marc

AU - Elliott, Mark

AU - McCartan, Rebecca

AU - McGregor, Bruce

PY - 2016/5/13

Y1 - 2016/5/13

N2 - The widespread day-to-day carrying of powerful smartphones gives opportunities for crowd-sourcing information about the users' activities to gain insight into patterns of use of a large population in cities. Here we report the design and initial investigations into a crowdsourcing approach for sudden decelerations to identify dangerous road sections. Sudden brakes and near misses are much more common than police reportable accidents but under exploited and have the potential for more responsive reaction than waiting for accidents. We also discuss different multimodal feedback conditions to warn drivers approaching a dangerous zone. We believe this crowdsourcing approach gives cost and coverage benefits over infrastructural smart-city approaches but that users need incentivized for use.

AB - The widespread day-to-day carrying of powerful smartphones gives opportunities for crowd-sourcing information about the users' activities to gain insight into patterns of use of a large population in cities. Here we report the design and initial investigations into a crowdsourcing approach for sudden decelerations to identify dangerous road sections. Sudden brakes and near misses are much more common than police reportable accidents but under exploited and have the potential for more responsive reaction than waiting for accidents. We also discuss different multimodal feedback conditions to warn drivers approaching a dangerous zone. We believe this crowdsourcing approach gives cost and coverage benefits over infrastructural smart-city approaches but that users need incentivized for use.

KW - smart cities

KW - driving interfaces

KW - crowdsourcing

KW - smartphones

KW - public policy issues

KW - human safety

U2 - 10.1145/2898365.2899796

DO - 10.1145/2898365.2899796

M3 - Conference contribution book

SP - 14

EP - 18

BT - Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX

CY - New York

ER -

Dunlop MD, Roper M, Elliott M, McCartan R, McGregor B. Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings. In Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX. New York. 2016. p. 14-18 https://doi.org/10.1145/2898365.2899796