Trading accuracy for enjoyment? Data quality and player experience in data collection games
File(s)chi22b-sub5282-cam-i16.pdf (916.75 KB)
Accepted version
Author(s)
Gundry, David
Deterding, Sebastian
Type
Conference Paper
Abstract
Games have become a popular way of collecting human subject data, based on the premise that they are more engaging than surveys or experiments, but generate equally valid data. However, this premise has not been empirically tested. In response, we designed a game for eliciting linguistic data following Intrinsic Elicitation – a design approach aiming to minimise validity threats in data collection games – and compared it to an equivalent linguistics experiment as control. In a preregistered study and replication (n=96 and n=136), using two different ways of operationalising accuracy, the game generated substantially more enjoyment (d=.70, .73) and substantially less accurate data (d=-.68, -.40) – though still more accurate than random responding. We conclude that for certain data types data collection games may present a serious trade-off between participant enjoyment and data quality, identify possible causes of lower data quality for future research, reflect on our design approach, and urge games HCI researchers to use careful controls where appropriate.
Date Acceptance
2022-02-11
Citation
CHI Conference on Human Factors in Computing Systems (CHI ’22), pp.1-14
Publisher
ACM
Start Page
1
End Page
14
Journal / Book Title
CHI Conference on Human Factors in Computing Systems (CHI ’22)
Copyright Statement
© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Identifier
https://dl.acm.org/doi/10.1145/3491102.3502025
Source
CHI Conference on Human Factors in Computing Systems (CHI ’22)
Subjects
Games, Experimental
Games, Recreational
Applied games
Games with a purpose
Human computation games
Validity
Place of Publication
New York
Publication Status
Accepted
Start Date
2022-04-30
Finish Date
2022-05-05
Coverage Spatial
New Orleans, USA
Date Publish Online
2022-04-28