Naderi Motivation of Workers on Microtask Crowdsourcing Platforms

1. Auflage 2018
ISBN: 978-3-319-72700-4
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 125 Seiten

Reihe: T-Labs Series in Telecommunication Services

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.

Autoren/Hrsg.

Naderi, Babak

Inhaltsverzeichnis

1;Acknowledgements;6
2;Contents;8
3;Acronyms;10
4;Abstract;12
5;Zusammenfassung;14
6;1 Introduction;16
6.1;1.1 Crowdsourcing Microtask;17
6.1.1;1.1.1 Platforms;17
6.1.2;1.1.2 Tasks;19
6.2;1.2 Scope and Research Questions;20
7;2 Theoretical Background on Motivation;22
7.1;2.1 Taxonomy;22
7.1.1;2.1.1 Motivation;22
7.1.2;2.1.2 Influencing Factors;26
7.1.3;2.1.3 Outcomes;27
7.2;2.2 Other Motivational Theories;28
7.3;2.3 Motivation in Crowdsourcing;29
7.4;2.4 Chapter Summary;31
8;3 Who are the Crowdworkers?;32
8.1;3.1 Method;33
8.2;3.2 Data Collection;34
8.3;3.3 Results;35
8.3.1;3.3.1 Demographics;36
8.3.2;3.3.2 Socioeconomic Status;37
8.3.3;3.3.3 Crowdwork Conditions;40
8.4;3.4 Chapter Discussion and Summary;41
9;4 How to Measure Motivation?;43
9.1;4.1 Initial Item Set;43
9.2;4.2 Study 4.1: Construction of the CWMS Questionnaire;44
9.2.1;4.2.1 Method;44
9.2.2;4.2.2 Factorial Structure of the Questionnaire;47
9.3;4.3 Validation of the Questionnaire;53
9.4;4.4 Chapter Discussion and Summary;53
10;5 What Determines Task Selection Strategies?;59
10.1;5.1 Study 5.1: What are the Influencing Factors?;59
10.1.1;5.1.1 Method;59
10.1.2;5.1.2 Results;60
10.1.3;5.1.3 Discussion;61
10.2;5.2 Study 5.2: How to Measure the Task-Related Factors?;62
10.2.1;5.2.1 Method;64
10.2.2;5.2.2 Results;66
10.2.3;5.2.3 Discussion;69
10.3;5.3 Study 5.3: Is the Task-Selection Behavior of Workers Predictable?;69
10.3.1;5.3.1 Method;70
10.3.2;5.3.2 Results;72
10.3.3;5.3.3 Discussion;77
10.4;5.4 Study 5.4: What is the Relative Importance …;79
10.4.1;5.4.1 Method;80
10.4.2;5.4.2 Results;83
10.4.3;5.4.3 Discussion;86
10.5;5.5 Study 5.5: Is the Expected Workload Predictable?;87
10.5.1;5.5.1 Method;87
10.5.2;5.5.2 Results;90
10.5.3;5.5.3 Discussion;91
10.6;5.6 Chapter Discussion and Summary;92
11;6 What Influences Workers' Performance?;95
11.1;6.1 Motivation;95
11.1.1;6.1.1 Survey Task;95
11.1.2;6.1.2 Study 6.1: Algorithmic and Heuristic Tasks;97
11.1.3;6.1.3 Discussion;99
11.2;6.2 Task Design;100
11.2.1;6.2.1 Study 6.2: Effect of Being Observed on the Reliability of Responses;100
11.2.2;6.2.2 Study 6.3: Effect of Trapping Questions on the Performance of Crowdworkers;103
11.3;6.3 Chapter Discussion and Summary;109
12;7 Conclusion and Outlook;111
12.1;7.1 Conclusion;111
12.2;7.2 Future Work;113
12.2.1;7.2.1 General Motivation;113
12.2.2;7.2.2 Task-Specific Motivation;114
12.2.3;7.2.3 Performance;114
13;Appendix A Features and the Model for Predicting Expected Workload;116
14;A.1 Features;116
15;A.1.1 Syntax Based Features;116
16;A.1.2 Semantic Based Features;117
17;A.1.3 Visual Features;117
18;A.2 Prediction Model;118
19;References;120