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Technology-Facilitated Crowdsourcing Systems

thesis
posted on 2013-07-22, 00:00 authored by Zhi Zhai

The latest advances in information and communication technology have made it possible for researchers to design innovative crowdsourcing systems that can harness the human intelligence of online communities. While crowdsourcing system designs have progressed substantially through engineering breakthroughs, some challenges in the crowdsourcing model however remain unanswered, such as (1)System Design: in various crowdsourcing systems, what roles can crowds play and what contributions can they make? (2) Data Analysis: how can the human inputs with varied qualities be properly cleansed, and how can trustworthy results be effectively generated from their myriad inputs? (3) Human Computation Theory: at a higher level, what is the symbiosis between human intelligence and artificial intelligence?

With lessons learned and experiences gained from four projects, this dissertation aims to provide new perspectives and insights into answering these questions.

When presenting research observations and results, we discuss a variety of technological and organizational considerations in crowdsourcing system designs.

History

Date Modified

2017-06-05

Defense Date

2013-04-11

Research Director(s)

Greg Madey

Committee Members

M. Brian Blake David Hachen Douglas Thain

Degree

  • Doctor of Philosophy

Degree Level

  • Doctoral Dissertation

Language

  • English

Alternate Identifier

etd-07222013-123903

Publisher

University of Notre Dame

Program Name

  • Computer Science and Engineering

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