Overview
- Examines the motivation of crowdworkers
- Explains how to attract more people and reach a higher quality of outcomes
- Offers a taxonomy for crowdworking motivation
Part of the book series: T-Labs Series in Telecommunication Services (TLABS)
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Table of contents (7 chapters)
Keywords
About this book
This book studies the motivation of crowdworkers to find out how to attract more people and reach a higher quality of outcomes. The book first proposes a taxonomy for studying the motivation of crowdworkers including the potential influencing factors, different types of motivation, and possible consequences and outcomes related to the motivation. Next, the CWMS questionnaire, an instrument for measuring the underlying motivation of crowdworkers is developed. It considers different dimensions of motivation suggested by the Self-Determination Theory of motivation which is a well-established and empirically validated psychological theory used in various domains. This instrument can be used to study the effect of platform and user characteristics on the general motivation of crowdworkers. Later, the task-specific motivation of crowdworkers is studied in detail: Influencing factors are investigated, subjective methods for measuring them are evaluated, a model for predicting worker’s decision on taking a task is proposed, the relative importance of different factors for two populations of crowdworkers is studied, and finally, a model for predicting the expected workload (as one of the major influencing factors) given the task design is proposed.
Authors and Affiliations
Bibliographic Information
Book Title: Motivation of Workers on Microtask Crowdsourcing Platforms
Authors: Babak Naderi
Series Title: T-Labs Series in Telecommunication Services
DOI: https://doi.org/10.1007/978-3-319-72700-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-72699-1Published: 02 February 2018
Softcover ISBN: 978-3-319-89198-9Published: 04 June 2019
eBook ISBN: 978-3-319-72700-4Published: 24 January 2018
Series ISSN: 2192-2810
Series E-ISSN: 2192-2829
Edition Number: 1
Number of Pages: XIV, 112
Number of Illustrations: 34 b/w illustrations, 8 illustrations in colour
Topics: Signal, Image and Speech Processing, Information Systems Applications (incl. Internet), Social Media