research-article

A crowdsourcing platform for the construction of accessibility maps

Authors:

Sergio BorgerAuthors Info & Claims

W4A '13: Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility

Article No.: 26, Pages 1 - 4

https://doi.org/10.1145/2461121.2461129

Published: 13 May 2013 Publication History

Get Access

Abstract

We present in this article a crowdsourcing platform that enables the collaborative creation of accessibility maps. The platform provides means for integration of different kind of data, collected automatically or with user intervention, to augment standard maps with accessibility information. The article shows the architecture of the platform, dedicating special attention to the smartphone applications we developed for data collection. The article also describes a preliminar experiment conducted on field, showing how the analysis of data produced by our solution can bring novel insights in accessibility challenges that can be found in cities.

References

[1]

M. Buchanan. The science of subtle signals. Strategy and Business, 48:68, 2007.

Google Scholar

[2]

IBM. Citypulse. http://www-01.ibm.com/software/data/information-agenda/catalog/profiles/CityPulse_PUBL_11.html.

Google Scholar

[3]

IBM. Creek watch. http://creekwatch.researchlabs.ibm.com.

Google Scholar

[4]

F. Koch, C. Cardonha, J. Gentil, and S. Borger. A platform for citizen sensing in sentient cities. LNCS - Proceedings of the First International Workshop on Citizen Sensor Networks, 7685:57--66, 2012.

Google Scholar

[5]

MIT. Funf open sensing framework. http://funf.org.

Google Scholar

[6]

L. Morency, R. Mihalcea, and P. Doshi. Towards multimodal sentiment analysis: harvesting opinions from the web. In Proceedings of the 13th international conference on multimodal interfaces, pages 169--176. ACM, 2011.

Digital Library

Google Scholar

[7]

J. Pearl. Causality: Models, Reasoning, and Inference. Cambridge University Press, 2000.

Digital Library

Google Scholar

[8]

A. Pentland. Honest signals: how they shape our world. MIT Press, 2008.

Digital Library

Google Scholar

[9]

J. Ruppenhofer and I. Rehbein. Semantic frames as an anchor representation for sentiment analysis. WASSA 2012, page 104, 2012.

Digital Library

Google Scholar

[10]

T. L. Saaty. Decision making with the analytic hierarchy process. I. J. Service Sciences, 1:83--98, 2008.

Crossref

Google Scholar

[11]

Touchism. Brisbane access map. http://www.touchism.com/BrisbaneAccessMap.html/.

Google Scholar

[12]

W. F. wheelchair accessible places. http://wheelmap.org/.

Google Scholar

Cited By

View all

Kasemsarn KSawadsri AHarrison DNickpour F(2024)Museums for Older Adults and Mobility-Impaired People: Applying Inclusive Design Principles and Digital Storytelling Guidelines—A ReviewHeritage10.3390/heritage70400907:4(1893-1916)Online publication date: 24-Mar-2024
https://doi.org/10.3390/heritage7040090
Kırmızıbiber AGökgöz T(2024)A Collaborative System Design for Avoiding and Removing the Unexpected Obstacles Encountered during Wheelchair NavigationApplied Sciences10.3390/app1413539614:13(5396)Online publication date: 21-Jun-2024
https://doi.org/10.3390/app14135396
Ruko SMelloni DZingoni APelorosso RCalabro G(2024)Implementation of a Routing Application for People with Impairments, Improved and Evaluated Through Service Learning2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)10.1109/MetroXRAINE62247.2024.10795951(547-552)Online publication date: 21-Oct-2024
https://doi.org/10.1109/MetroXRAINE62247.2024.10795951
Show More Cited By

Index Terms

A crowdsourcing platform for the construction of accessibility maps

Recommendations

Making Real-World Interfaces Accessible Through Crowdsourcing, Computer Vision, and Fabrication
W4A '17: Proceedings of the 14th International Web for All Conference

The world is full of physical interfaces that are inaccessible to blind people, from microwaves and information kiosks to thermostats and checkout terminals. Blind people cannot independently use such devices without at least first learning their layout,...
Crowd-AI Systems for Non-Visual Information Access in the Real World
UIST '18 Adjunct: Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology

The world is full of information, interfaces and environments that are inaccessible to blind people. When navigating indoors, blind people are often unaware of key visual information, such as posters, signs, and exit doors. When accessing specific ...
Crowd-AI Systems for Non-Visual Information Access in the Real World
CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

The world is full of information, interfaces and environments that are inaccessible to blind people. When navigating indoors, blind people are often unaware of key visual information, such as posters, signs, and exit doors. When accessing specific ...

Comments

Information & Contributors

Information

Published In

W4A '13: Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility

May 2013

209 pages

ISBN:9781450318440

DOI:10.1145/2461121

General Chairs:
Giorgio Brajnik
University of Udine, Italy
,
Paola Salomoni
University of Bologna, Italy

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 the author(s) 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].

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Conference

W4A '13

Sponsor:

W4A '13: International Cross-Disciplinary Conference on Web Accessibility

May 13 - 15, 2013

Rio de Janeiro, Brazil

Acceptance Rates

W4A '13 Paper Acceptance Rate 7 of 20 submissions, 35%;

Overall Acceptance Rate 171 of 371 submissions, 46%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

66
Total Citations
View Citations
738
Total Downloads

Downloads (Last 12 months)32
Downloads (Last 6 weeks)1

Reflects downloads up to 18 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Kasemsarn KSawadsri AHarrison DNickpour F(2024)Museums for Older Adults and Mobility-Impaired People: Applying Inclusive Design Principles and Digital Storytelling Guidelines—A ReviewHeritage10.3390/heritage70400907:4(1893-1916)Online publication date: 24-Mar-2024
https://doi.org/10.3390/heritage7040090
Kırmızıbiber AGökgöz T(2024)A Collaborative System Design for Avoiding and Removing the Unexpected Obstacles Encountered during Wheelchair NavigationApplied Sciences10.3390/app1413539614:13(5396)Online publication date: 21-Jun-2024
https://doi.org/10.3390/app14135396
Ruko SMelloni DZingoni APelorosso RCalabro G(2024)Implementation of a Routing Application for People with Impairments, Improved and Evaluated Through Service Learning2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)10.1109/MetroXRAINE62247.2024.10795951(547-552)Online publication date: 21-Oct-2024
https://doi.org/10.1109/MetroXRAINE62247.2024.10795951
Tabellion DAlexandersso J(2023)Security, Privacy and Trust in Crowdsourcing Public Transport Accessibility InformationPublic Transport [Working Title]10.5772/intechopen.111443Online publication date: 26-Jul-2023
https://doi.org/10.5772/intechopen.111443
Murayama YFuruta AOchiai KMurayama YMiyata A(2023)Case Study on Student Behavior of Barrier Image Collection through GamingProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638425(159-165)Online publication date: 2-Dec-2023
https://dl.acm.org/doi/10.1145/3638380.3638425
Miyata AOkugawa KMurayama YFuruta AOchiai KMurayama Y(2023)Case Study: In-the-Field Accessibility Information Collection Using GamificationProceedings of the 20th International Web for All Conference10.1145/3587281.3587288(66-74)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3587281.3587288
Williams TCooper EDew K(2023)From Point A to Point B: Identity-Informed Safety in Navigation TechnologyExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585776(1-9)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585776
Franco MGaggi OMerzougui SPalazzi C(2023)Accessible Wayfinding for the Visually Impaired through Sustainable Smartphone Based Sensing2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10059763(1-6)Online publication date: 8-Jan-2023
https://doi.org/10.1109/CCNC51644.2023.10059763
Alim SIsmail A(2022)An Initial Exploration of Tweets Associated With Web AccessibilityInternational Journal of Art, Culture, Design, and Technology10.4018/IJACDT.31284811:1(1-22)Online publication date: 25-Oct-2022
https://doi.org/10.4018/IJACDT.312848
Wu YDing XDai XZhang PLu TGu N(2022)Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban SpacesProceedings of the ACM on Human-Computer Interaction10.1145/35551656:CSCW2(1-22)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555165
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Making Real-World Interfaces Accessible Through Crowdsourcing, Computer Vision, and Fabrication

Crowd-AI Systems for Non-Visual Information Access in the Real World

Crowd-AI Systems for Non-Visual Information Access in the Real World