TY - GEN
T1 - Pay attention, please
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
AU - August, Tal
AU - Reinecke, Katharina
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/5/2
Y1 - 2019/5/2
N2 - Participant engagement in online studies is key to collecting reliable data, yet achieving it remains an often discussed challenge in the research community. One factor that might impact engagement is the formality of language used to communicate with participants throughout the study. Prior work has found that language formality can convey social cues and power hierarchies, affecting people’s responses and actions. We explore how formality influences engagement, measured by attention, dropout, time spent on the study and participant performance, in an online study with 369 participants on Mechanical Turk (paid) and LabintheWild (volunteer). Formal language improves participant attention compared to using casual language in both paid and volunteer conditions, but does not affect dropout, time spent, or participant performance. We suggest using more formal language in studies containing complex tasks where fully reading instructions is especially important. We also highlight trade-offs that different recruitment incentives provide in online experimentation.
AB - Participant engagement in online studies is key to collecting reliable data, yet achieving it remains an often discussed challenge in the research community. One factor that might impact engagement is the formality of language used to communicate with participants throughout the study. Prior work has found that language formality can convey social cues and power hierarchies, affecting people’s responses and actions. We explore how formality influences engagement, measured by attention, dropout, time spent on the study and participant performance, in an online study with 369 participants on Mechanical Turk (paid) and LabintheWild (volunteer). Formal language improves participant attention compared to using casual language in both paid and volunteer conditions, but does not affect dropout, time spent, or participant performance. We suggest using more formal language in studies containing complex tasks where fully reading instructions is especially important. We also highlight trade-offs that different recruitment incentives provide in online experimentation.
KW - Attention
KW - Data quality
KW - Language formality
KW - Online experiments
KW - Participant engagement
UR - http://www.scopus.com/inward/record.url?scp=85067596120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067596120&partnerID=8YFLogxK
U2 - 10.1145/3290605.3300478
DO - 10.1145/3290605.3300478
M3 - Conference contribution
AN - SCOPUS:85067596120
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 4 May 2019 through 9 May 2019
ER -