PokeME: Applying context-driven notifications to increase worker engagement in mobile crowd-sourcing

• Main Authors: KANDAPPU, Thivya, MEHROTRA, Abhinav, MISRA, Archan, MUSOLESI, Mirco, CHENG, Shih-Fen, MEEGAHAPOLA, Lakmal
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: intervention techniques; notifications; mobile crowd-sourcing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5426; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6429&context=sis_research
• Institution: Singapore Management University

In mobile crowd-sourcing systems, simply relying on people to opportunistically select and perform tasks typically leads to drawbacks such as low task acceptance/completion rates and undesirable spatial skews. In this paper, we utilize data from TASKer, a campus-based mobile crowd-sourcing platform,...