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How to motivate participation and improve quality of crowdsourcing when building accessibility maps

Crowdsourcing, as one of the most promising techniques for distributed problem-solving, requires sustained human involvement. Therefore, it also brings new challenges to data management, fundamentally data input and its quality. In this paper, we looked at various forms of user motivations and quality control of crowdsourcing when building accessibility maps mobile applications. We discuss how motivations could be used to contribute to our accessibility maps scenarios, and how data can be improved for two types of participants: individual participants and organization participants. We identified three useful techniques for improving data quality: qualification-based, reputation-based, and aggregation-based. In addition, based on our own mobile application (named WEMAP), we evaluated our approaches through focus group discussions and in-depth interviews.

Zusätzliche Informationen

Kontakt

Zhan Liu

Referent/in

Zhan Liu, Shaban Shabani, Nicole Glassey Balet, Maria Sokhn, Fabian Cretton

Name des Kongresses, Ort, Datum

15th Conference of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, du 12.01.2018 au 18.01.2018

Url

http://ccnc2018.ieee-ccnc.org/