---
title: "Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)"
authors:
  - "Amy Rechkemmer"
  - "Ming Yin"
doi: "10.24963/ijcai.2021/658"
url: "https://ijcai.org/proceedings/2021/658"
pdf: "https://ijcai.org/proceedings/2021/0658.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "4819-4823"
track: "Sister Conferences Best Papers"
keywords:
  - "Humans and AI: Human Computation and Crowdsourcing"
---

# Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)

Amy Rechkemmer, Ming Yin

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 4819-4823. DOI: [10.24963/ijcai.2021/658](https://doi.org/10.24963/ijcai.2021/658)

## Abstract

Training is one way of enabling novice workers to work on complex crowdsourcing tasks. Based on goal setting theory in psychology, we conduct a randomized experiment to study whether and how setting different goals---including performance goal, learning goal, and behavioral goal---when training workers for a complex crowdsourcing task affects workers' learning perception, learning gain, and post-training performance. We find that setting different goals during training significantly affects workers' learning perception, but does not have an effect on learning gain or post-training performance. Further, exploratory analysis helps shed light on when and why various goals may or may not work in the crowdsourcing context.