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CrowdService: Serving the Individuals through Mobile Crowdsourcing and Service Composition

Peng, Xin; Gu, Jingxiao; Tan, Tian Huat; Sun, Jun; Yu, Yijun; Nuseibeh, Bashar and Zhao, Wenyun (2016). CrowdService: Serving the Individuals through Mobile Crowdsourcing and Service Composition. In: Proceedings of the31st ACM/IEEE international conference on Automated software engineering, ACM, New York, USA, (In press).

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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
Copyright Holders: 2016 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
Adaptive Security And Privacy (XC-11-004-BN)291652EC (European Commission)
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)
Interdisciplinary Research Centre: Centre for Policing Research and Learning (CPRL)
Centre for Research in Computing (CRC)
International Development & Inclusive Innovation
Item ID: 46916
Depositing User: Yijun Yu
Date Deposited: 11 Aug 2016 08:58
Last Modified: 10 Feb 2017 03:54
URI: http://oro.open.ac.uk/id/eprint/46916
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