Event Title

HIT Me Baby, One More Time: Optimal Worker Incentive Strategies for Human Intelligence Tasks on Amazon Mechanical Turk

Presentation Type

Event

Disciplines

Psychology

Description/Abstract

The use of crowdsourced human intelligence tasks (HITs) is increasing in research and business, with Amazon Mechanical Turk (MTurk) being one of the most popular platforms connecting workers and requestors. Despite this popularity, data on optimal strategies to minimize attrition and maximize data quality is lacking. This study assesses the effects of different payment strategies on worker participation, speed, effort, and retention in HITs. MTurk workers were recruited to participate in a multi-wave study on personality, values, and behavior. Multiple payment strategies were developed with total payment for both phases ranging from $1.00 to $10.00 across experimental conditions. Results and implications will be discussed.

Comments

Faculty Mentors: Dr. Richard N. Landers and Dr. Tara S. Behrend

Location

Learning Commons @ Perry Library Conference Room 1311

Start Date

13-2-2016 11:30 AM

End Date

13-2-2016 12:30 PM

Full Text of Presentation

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Feb 13th, 11:30 AM Feb 13th, 12:30 PM

HIT Me Baby, One More Time: Optimal Worker Incentive Strategies for Human Intelligence Tasks on Amazon Mechanical Turk

Learning Commons @ Perry Library Conference Room 1311

The use of crowdsourced human intelligence tasks (HITs) is increasing in research and business, with Amazon Mechanical Turk (MTurk) being one of the most popular platforms connecting workers and requestors. Despite this popularity, data on optimal strategies to minimize attrition and maximize data quality is lacking. This study assesses the effects of different payment strategies on worker participation, speed, effort, and retention in HITs. MTurk workers were recruited to participate in a multi-wave study on personality, values, and behavior. Multiple payment strategies were developed with total payment for both phases ranging from $1.00 to $10.00 across experimental conditions. Results and implications will be discussed.