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Related Experiment Video

Updated: Aug 30, 2025

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
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Frustration and ennui among Amazon MTurk workers.

Craig Fowler1, Jian Jiao2, Margaret Pitts2

  • 1School of Communication, Journalism, & Marketing, Massey University, Private Bag 102904, North Shore, Auckland, 0745, New Zealand. c.fowler@massey.ac.nz.

Behavior Research Methods
|August 26, 2022
PubMed
Summary

Researchers using crowdsourcing platforms like Amazon Mechanical Turk (MTurk) can improve participant experiences by addressing controllable factors. Understanding worker frustrations is key to designing respectful online studies.

Keywords:
CrowdsourcingDigital methodsEthicsInternetJob satisfactionOnline researchParticipants

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Area of Science:

  • Social Sciences
  • Human-Computer Interaction
  • Research Methodology

Background:

  • Crowdsourcing platforms are increasingly used by academics for participant recruitment.
  • Existing research focuses on data quality and platform challenges, with limited insight into participant experiences.

Purpose of the Study:

  • To explore the frustrations and experiences of participants on crowdsourcing platforms.
  • To provide actionable recommendations for researchers to improve online study design.

Main Methods:

  • Analysis of nearly 1400 free-text responses from participants on Amazon's MTurk.
  • Qualitative analysis to identify common themes in participant frustrations.

Main Results:

  • Participant frustrations arise from both platform limitations and researcher-controlled factors.
  • Key issues include time, effort, and dignity concerns for crowdsource workers.

Conclusions:

  • Researchers can mitigate many participant frustrations by adjusting study design and practices.
  • Implementing recommendations can foster more respectful and efficient online research environments.