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Agent Augmented Inter-generational Crowdsourcing


Authors: Z. Pan, C. Miao, B. T. H. Tan, H. Yu, and C. Leung
Title: Agent Augmented Inter-generational Crowdsourcing
Abstract: Crowdsourcing is starting to attract elderly workers and can become a possible productive aging platform to help address the shortage of manpower as a result of population aging. An important challenge emerging from this development is how to promote effective inter-generational interactions. Currently, there is little empirical data to help multi-agent systems researchers to design incentive mechanisms for this purpose. In this demonstration, we showcase an inter-generational crowdsourcing mobile app to bridge this gap in existing research. The app enables researchers to conduct large-scale empirical studies designed to construct useful datasets reflecting the effectiveness of various persuasive techniques on people from different age groups in promoting inter-generational interactions.
Keywords: 
Conference Name: 2015 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT'15)
Location: Singapore, Singapore
Publisher: IEEE
Year: 2015
Accepted PDF File: Agent_Augmented_Inter-generational_Crowdsourcing_accepted.pdf
Permanent Link: http://dx.doi.org/10.1109/WI-IAT.2015.38
Reference: Z. Pan, C. Miao, B. T. H. Tan, H. Yu, and C. Leung, “Agent augmented inter-generational crowdsourcing,” in Proceedings of the 2015 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT’15). IEEE, December 2015, accepted for publication.
bibtex: 
@inproceedings{LILY-c59, 
    author	= {Pan, Zhengxiang and Miao, Chunyan and Tan, Benny Toh Hsiang and Yu, Han and Leung, Cyril},
    title	= {Agent Augmented Inter-generational Crowdsourcing},  
    booktitle	= {Proceedings of the 2015 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT'15)}, 
    year		= {2015}, 
    month	= {December}, 
    pages	= {237-238}, 
    location	= {Singapore, Singapore},
    publisher	= {IEEE},
 }