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Peng, Xin; Gu, Jingxiao; Tan, Tian Huat; Sun, Jun; Yu, Yijun; Nuseibeh, Bashar and Zhao, Wenyun
(2016).
DOI: https://doi.org/10.1145/2970276.2970334
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 crowd-sourcing. We implement the proposed framework on the Android platform and evaluate the usability of the framework with a user study.
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About
- Item ORO ID
- 46916
- Item Type
- Conference or Workshop Item
- ISBN
- 1-5090-5571-1, 978-1-5090-5571-5
- Project Funding Details
-
Funded Project Name Project ID Funding Body Adaptive Security And Privacy (XC-11-004-BN) 291652 EC (European Commission) - Extra Information
- Presented at the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016), Singapore, 3-7 Sep 2016.
- Keywords
- mobile crowdsourcing; service composition; reliability; Quality of Service (QoS)
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
-
Centre for Research in Computing (CRC)
Health and Wellbeing PRA (Priority Research Area)
International Development & Inclusive Innovation - Copyright Holders
- © 2016 ACM
- Depositing User
- Yijun Yu