TY - GEN
T1 - Effects of activity breakpoints on mobile crowdsourcing task performance
AU - Chiang, Chia En
AU - Chang, Yung Ju
AU - Feng, Felicia
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/9/10
Y1 - 2020/9/10
N2 - Mobile phones have become a new means of accessing and executing crowdsourcing tasks in a variety of situations. Yet, while it is commonly assumed that people are likely to perform these tasks during activity breakpoints, it remains unclear whether different types of such breakpoints affect the likelihood that crowdsourcing tasks will be performed. To explore this question, we classified breakpoints into five types, according to phone users' preceding, current, and upcoming activities, and conducted a six-week experience sampling method study of 30 users' breakpoint-type-specific crowdsourcing-task performance behavior. We found that these participants tended to engage in crowdsourcing tasks when they were at breakpoints between two different activities, rather than within an activity, and also when breakpoints were long. Additionally, the higher the complexity of their previous activity, the lower the crowdsourcing-task execution rate. However, high complexity of the post-crowdsourcing task activity had no obvious impact on execution rate.
AB - Mobile phones have become a new means of accessing and executing crowdsourcing tasks in a variety of situations. Yet, while it is commonly assumed that people are likely to perform these tasks during activity breakpoints, it remains unclear whether different types of such breakpoints affect the likelihood that crowdsourcing tasks will be performed. To explore this question, we classified breakpoints into five types, according to phone users' preceding, current, and upcoming activities, and conducted a six-week experience sampling method study of 30 users' breakpoint-type-specific crowdsourcing-task performance behavior. We found that these participants tended to engage in crowdsourcing tasks when they were at breakpoints between two different activities, rather than within an activity, and also when breakpoints were long. Additionally, the higher the complexity of their previous activity, the lower the crowdsourcing-task execution rate. However, high complexity of the post-crowdsourcing task activity had no obvious impact on execution rate.
KW - ESM
KW - breakpoints
KW - interruptibility
KW - mobile crowdsourcing
KW - mobile notifications
KW - mobile receptivity
KW - task performance
UR - http://www.scopus.com/inward/record.url?scp=85091842229&partnerID=8YFLogxK
U2 - 10.1145/3410530.3414409
DO - 10.1145/3410530.3414409
M3 - Conference contribution
AN - SCOPUS:85091842229
T3 - UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
SP - 21
EP - 24
BT - UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery
T2 - 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
Y2 - 12 September 2020 through 17 September 2020
ER -