Data donors: Sharing knowledge for mobile accessibility

André Rodrigues, Kyle Montague, Tiago Guerreiro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Individuals regularly face challenges when interacting with their mobile devices particularly if they are not tech savvy users. When such difficulties occur, individuals often rely on more knowledgeable users to overcome difficulties. However, many do not have a support network of knowledgeable individuals available. Moreover, some challenges go beyond the need for guidance, as for example difficulties in performing swipes for motor impaired people. In this paper, we propose Data Donors, a conceptual framework proposing the enablement of users with the capacity to help others to do so by donating their mobile interaction data and knowledge. Inspired by charitable donations, we outline the Data Donors framework and discuss three applications that are being developed under the data donning paradigm. Through this work, we will explore the consequences and opportunities of sharing ones’ data for the greater good and discuss the creation of global data donation programs.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherACM
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 20 Apr 2018
Externally publishedYes
Event2018 ACM Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montréal, Canada
Duration: 21 Apr 201826 Apr 2018
https://chi2018.acm.org/

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2018-April

Conference

Conference2018 ACM Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2018
Country/TerritoryCanada
CityMontréal
Period21/04/1826/04/18
Internet address

Keywords

  • Accessibility
  • Assistive Technology
  • Crowdsourcing
  • Data Collection
  • Human Computation
  • Mobile Computing

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