TASKer: Behavioral insights via campus-based experimental mobile crowd-sourcing

• Main Authors: KANDAPPU, Thivya, JAIMAN, Nikita, DARATAN, Randy Tandriansyah, MISRA, Archan, CHENG, Shih-Fen, CHEN, Cen, LAU, Hoong Chuin, CHANDER, Deepthi, DASGUPTA, Koustuv
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Crowd-sourcing; context-aware; empirical study; User behaviour; Artificial Intelligence and Robotics; Computer Sciences; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3361; https://ink.library.smu.edu.sg/context/sis_research/article/4363/viewcontent/TASKER_ubicomp16.pdf
• Institution: Singapore Management University

While mobile crowd-sourcing has become a game-changer for many urban operations, such as last mile logistics and municipal monitoring, we believe that the design of such crowdsourcing strategies must better accommodate the real-world behavioral preferences and characteristics of users. To provide a...