A survey on crowdsourcing in human-computer interaction

PhD Qualifying Examination


Title: "A survey on crowdsourcing in human-computer interaction"

by

Mr. Yanhong Wu


Abstract:

Crowdsourcing leverages the potentials of a large and open crowd of people to 
complete tasks that are traditionally performed by designated workers. Given 
the many benefits it can bring, crowdsourcing has been widely adopted in 
various domains such as data mining, software engineering, and human-computer 
interaction. Among these domains, human-computer interaction has advanced 
dramatically in recent years due to the rapid development of modern computing 
interfaces. On the one hand, crowdsourcing has enabled a new way for 
human-computer interaction researchers to design interfaces and systems for 
certain tasks. On the other hand, modern human-computer interaction techniques 
can also be used to help us better understand and improve crowdsourcing. Our 
aim is to provide a comprehensive survey on the many studies proposed on these 
two aspects.

In this survey, we discuss the development and usage of crowdsourcing in the 
area of human-computer interaction. We first introduce the history, motivation, 
and challenges of crowdsourcing. We also compare it with other similar terms 
and provide some existing taxonomies of crowdsourcing. Then we describe how 
human-computer interaction research facilitates solving crowdsourcing 
challenges such as worker motivation, crowd demographic, workflow design, and 
quality control. Next, we review what human-computer interaction research can 
benefit from utilizing crowdsourcing techniques in terms of data gathering, 
computation, and evaluation. In the end of the survey, we point out some future 
crowdsourcing research directions in human-computer interaction.


Date:  			Tuesday, 13 October 2015

Time:                  	10:00am - 12:00noon

Venue:                  Room 4475
                         Lifts 25/26

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Dr. Ke Yi (Chairperson)
 			Dr. Qiong Luo
 			Dr. Xiaojuan Ma


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