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殷明博士学术报告会

作者        发布时间 2016-12-25      点击量 658

江苏省网络监控工程中心特邀美国哈佛大学工程与应用科学学院殷明博士来校做学术交流。

报告题目:Designing Incentives for Humans in the Loop

报告时间:2016年12月28日上午9:30-10:40 报告地点:计算机与软件学院308会议室

报告人:殷明 博士

摘要: The rise of social computing in recent years brings forth the idea of leveraging human intelligence to solve challenging computational tasks, which leads to a surge in computing systems that incorporate a group of humans into the loop through crowdsourcing for various purposes, such as improving search result relevance, filtering out inappropriate web content, and generating accurate product recommendations. A key factor that decides the quality of work produced by the crowd and hence the values of such human-in-the-loop computing systems is the design of incentives. In this talk, I will discuss a line of research on crowdsourcing incentive design: First, I focus on extrinsic motivation like financial incentives and experimentally examine how people react to financial incentives of different magnitude in a sequence of tasks. Then, based on the experimental insights, I use a statistical model to characterize the impact of financial incentives on crowd work quality and propose an algorithmic approach to dynamically place the financial incentives so as to obtain more high-quality work with lower cost. Finally, I also explore the possible application of intrinsic motivation in the crowdsourcing context and reveal the potential of using curiosity as an incentive to improve worker engagement in human-in-the-loop computing systems.

个人简介:殷明,现为哈佛大学工程与应用科学学院博士,本科毕业于清华大学。主要研究方向为社会计算与众包这一涵盖人工智能与机器学习、计算社会学、人机交互等多门学科的新兴前沿领域。她的研究运用大规模在线行为学实验增进了对于社会计算和众包系统中人类行为的理解,并进一步从行为数据中挖掘经验知识以指导行为模型、控制算法及交互界面的设计,从而提升了社会计算和众包系统的性能。殷明是西贝尔学者奖学金获得者,并曾获ACM人机交互国际会议(ACM CHI’16)最佳论文提名。

 

江苏省网络监控工程中心

2016年12月22日

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