Peng, Xin; Gu, Jingxiao; Tan, Tian Huat; Sun, Jun; Yu, Yijun; Nuseibeh, Bashar and Zhao, Wenyun
(2016).
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1145/2970276.2970334 |
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| Google Scholar: | Look up in Google Scholar |
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.
| Item Type: | Conference or Workshop Item | ||||||
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| Copyright Holders: | 2016 ACM | ||||||
| ISBN: | 1-5090-5571-1, 978-1-5090-5571-5 | ||||||
| Project Funding Details: |
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| 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/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
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| Research Group: | Centre for Research in Computing (CRC) Health and Wellbeing PRA (Priority Research Area) International Development & Inclusive Innovation |
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| Item ID: | 46916 | ||||||
| Depositing User: | Yijun Yu | ||||||
| Date Deposited: | 11 Aug 2016 08:58 | ||||||
| Last Modified: | 09 May 2018 13:10 | ||||||
| URI: | http://oro.open.ac.uk/id/eprint/46916 | ||||||
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