TY  - CONF
T1  - How to motivate participation and improve quality of crowdsourcing when building accessibility maps
A1  - Liu, Zhan
A1  - Shabani, Shaban
A1  - Glassey Balet, Nicole
A1  - Maria, Sokhn
A1  - Cretton, Fabian
TI  - 3th International Workshop on Accessible Devices and Services in the 15th Conference of IEEE Consumer Communications & Networking Conference (CCNC)
Y1  - 2018
PB  - IEEE
CY  - Las Vegas, USA
SN  - 2331-9860
UR  - http://ieeexplore.ieee.org/document/8319237/
M2  - doi: 10.1109/CCNC.2018.8319237
KW  - accessibility maps
KW  - crowdsourcing
KW  - motivation
KW  - quality control
KW  - wheelchair
N2  - 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.
ER  -