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

被引:0
|
作者
Rechkemmer, Amy [1 ]
Yin, Ming [1 ]
机构
[1] Purdue Univ, W Lafayette, IN 47907 USA
来源
PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021 | 2021年
关键词
SELF-EFFICACY; ORIENTATION; PERFORMANCE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 posttraining performance. Further, exploratory analysis helps shed light on when and why various goals may or may not work in the crowdsourcing context.
引用
收藏
页码:4819 / 4823
页数:5
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