Human Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning, 13, Band 13) [paperback] [2011]

Law, Edith; Von Ahn, Luis

ISBN 10: 1608455165 / ISBN 13: 9781608455164

Published by Morgan & Claypool Publishers, 2011

About this Item

2011, Bibliotheksexemplar - Einband: leichte Lagerspuren, Aufkleberreste - Seiten: wie ungelesen.

Seller Inventory # RN-KEKQ-4RMF

Bibliographic Details

• Title: Human Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning, 13, Band 13) [paperback] [2011]
• Publisher: Morgan & Claypool Publishers
• Publication Date: 2011
• Language: English
• ISBN 10: 1608455165
• ISBN 13: 9781608455164
• Binding: Soft cover
• Condition: Gut

About this title

Synopsis

Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. With the growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of people via the Web to perform complex computation. There are various genres of human computation applications that exist today. Games with a purpose (e.g., the ESP Game) specifically target online gamers who generate useful data (e.g., image tags) while playing an enjoyable game. Crowdsourcing marketplaces (e.g., Amazon Mechanical Turk) are human computation systems that coordinate workers to perform tasks in exchange for monetary rewards. In identity verification tasks, users perform computation in order to gain access to some online content; an example is reCAPTCHA, which leverages millions of users who solve CAPTCHAs every day to correct words in books that optical character recognition (OCR) programs fail to recognize with certainty.

This book is aimed at achieving four goals: (1) defining human computation as a research area; (2) providing a comprehensive review of existing work; (3) drawing connections to a wide variety of disciplines, including AI, Machine Learning, HCI, Mechanism/Market Design and Psychology, and capturing their unique perspectives on the core research questions in human computation; and (4) suggesting promising research directions for the future.

Table of Contents: Introduction / Human Computation Algorithms / Aggregating Outputs / Task Routing / Understanding Workers and Requesters / The Art of Asking Questions / The Future of Human Computation

Review

“The authors should be commended for achieving two seemingly mutually exclusive tasks: presenting the material in a way that is accessible to a well-rounded generalist while not sacrificing the depth of coverage.” – Stan Kurkovsky for ACM Computing Reviews