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

Author

Thivya KANDAPPU, Singapore Management UniversityFollow
Nikita JAIMAN, Singapore Management UniversityFollow
Randy Tandriansyah DARATAN, Singapore Management UniversityFollow
Archan MISRA, Singapore Management UniversityFollow
Shih-Fen CHENG, Singapore Management UniversityFollow
Cen CHEN, Singapore Management UniversityFollow
Hoong Chuin LAU, Singapore Management UniversityFollow
Deepthi CHANDER, Xerox Research Centre, India
Koustuv DASGUPTA, Xerox Research Centre, India

Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

9-2016

Abstract

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 real-world testbed to study the impact of novel mobile crowd-sourcing strategies, we have designed, developed and experimented with a real-world mobile crowd-tasking platform on the SMU campus, called TA$Ker. We enhanced the TA$Ker platform to support several new features (e.g., task bundling, differential pricing and cheating analytics) and experimentally investigated these features via a two-month deployment of TA$Ker, involving 900 real users on the SMU campus who performed over 30,000 tasks. Our studies (i) show the benefits of bundling tasks as a combined package, (ii) reveal the effectiveness of differential pricing strategies and (iii) illustrate key aspects of cheating (false reporting) behavior observed among workers.

Keywords

Crowd-sourcing, context-aware, empirical study, User behaviour

Discipline

Artificial Intelligence and Robotics | Computer Sciences | Numerical Analysis and Scientific Computing

Research Areas

Intelligent Systems and Optimization

Publication

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Heidelberg, Germany, September 12-16

First Page

392

Last Page

402

ISBN

9781450344616

Identifier

10.1145/2971648.2971690

Publisher

ACM

City or Country

New York

Citation

KANDAPPU, Thivya; JAIMAN, Nikita; DARATAN, Randy Tandriansyah; MISRA, Archan; CHENG, Shih-Fen; CHEN, Cen; LAU, Hoong Chuin; CHANDER, Deepthi; and DASGUPTA, Koustuv. TASKer: Behavioral insights via campus-based experimental mobile crowd-sourcing. (2016). UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Heidelberg, Germany, September 12-16. 392-402.
Available at: https://ink.library.smu.edu.sg/sis_research/3361

Copyright Owner and License

Authors/LARC

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1145/2971648.2971690