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

Liu, Zhan (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Shabani, Shaban (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Glassey Ballet, Nicole (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Sokhn, Maria (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Cretton, Fabian (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Crowdsourcing, as one of the most promising tech-niques 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.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Las Vegas, USA, 12-15 January 2018
Date:
2018-01
Las Vegas, USA
12-15 January 2018
Pagination:
6 p.
Published in:
Proceedings of the 3rd Workshop on Accessible Devices and Services (ADS) in the IEEE Consumer Communications & Networking Conference 2018
DOI:
Appears in Collection:



 Record created 2018-11-14, last modified 2019-06-11

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