Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2016
Abstract
Some user needs in real life can only be accomplished by leveraging the intelligence and labor of other people via crowdsourcing tasks. For example, one may want to confirm the validity of the description of a secondhand laptop by asking someone else to inspect the laptop on site. To integrate these crowdsourcing tasks into user applications, it is required that crowd intelligence and labor be provided as easily accessible services (e.g., Web services), which can be called crowd services. In this paper, we develop a framework named CROWDSERVICE which supplies crowd intelligence and labor as publicly accessible crowd services via mobile crowdsourcing. We implement the proposed framework on the Android platform and evaluate the usability of the framework with a user study.
Keywords
mobile crowdsourcing, service composition, reliability
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
ASE 2016: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, Singapore September 3-7
First Page
214
Last Page
219
ISBN
9781450338455
Identifier
10.1145/2970276.2970334
Publisher
ACM
City or Country
Singapore
Citation
PENG, Xin; GU, Jingxiao; TAN, Tian Huat; SUN, Jun; YU, Yijun; NUSEIBEH, Bashar; and ZHAO, Wenyun Zhao.
CrowdService: Serving the individuals through mobile crowdsourcing and service composition. (2016). ASE 2016: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, Singapore September 3-7. 214-219.
Available at: https://ink.library.smu.edu.sg/sis_research/4946
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/10.1145/2970276.2970334