Recruiting Participants With Programming Skills: A Comparison of Four Crowdsourcing Platforms and a CS Student Mailing List

Abstract

Reliably recruiting participants with programming skills is an ongoing challenge for empirical studies involving software development technologies, often leading to the use of crowdsourcing platforms and computer science (CS) students.

In this work, we use five existing survey instruments to explore the programming skills, privacy and security attitudes, and secure development self-efficacy of participants from a CS student mailing list and four crowdsourcing platforms (Appen, Clickworker, MTurk, and Prolific). We recruited 613 participants who claimed to have programming skills and assessed recruitment channels regarding costs, quality, programming skills, as well as privacy and security attitudes.

Publication
The ACM Conference on Human Factors in Computing Systems (CHI). 🏆 Honorable Mention Award (top 5% of submissions)
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