[2017-09-29] Dr. Ting-Hao Huang, CMU,"Crowd Research: Labels, Workflows, and Crowd-powered Systems"

Title: Crowd Research: Labels, Workflows, and Crowd-powered Systems
Date: 2017-09-29 02:20 pm-03:30 pm
Location: R102, CSIE
Speaker: Mr. Ting-Hao (Kenneth) Huang, CMU
Hosted by: Prof. Yun-Nung Chen


Amazon Mechanical Turk (MTurk) was launched to the public in 2005. Since then, researchers have developed a tremendous amount of research around this platform. In this talk, via the lens of computer system development, we will walk through three stages of the development of "crowd reach", which can also be referred to as researches of "human computation", "crowdsourcing", or "human-in-the-loop" architectures: (1) labeling datasets and providing human feedback for computer systems, (2) developing workflows for workers to accomplish complex tasks, and (3) creating real-time interactive systems that are, fully or partially, run by the crowd.


Ting-Hao (Kenneth) Huang (黃挺豪) is a PhD candidate at Language Technologies Institute, Carnegie Mellon University (CMU.) His current research focuses on real-time crowdsourcing and conversational agents, under the broader umbrella of fast-paced human-in-the-loop architectures. His PhD advisor is Prof. Jeffrey P. Bigham. Prior to CMU, Kenneth worked with Prof. Hsin-Hsi Chen during his master study at Graduate Institute of Networking and Multimedia, National Taiwan University (NTU). He also obtained his double degree in computer science and Chinese literature at NTU.

最後修改時間:2017-09-25 AM 11:54

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