TY - GEN
T1 - A preliminary study of an intelligent system facilitating selective notification attendance on smartphones via alert assistance
AU - Shih, Yi Hao
AU - Chang, Tang Jie
AU - Chen, Jian Hua Jiang
AU - Lee, Hao Ping
AU - Chang, Yung Ju
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/9/10
Y1 - 2020/9/10
N2 - A large body of interruptibility research has attempted to minimize disruptions caused by smartphone notifications. Yet, little research has explored ways to enable users to selectively attend to notifications, which can occur as early as users first notice the notification alert and start to speculate about its source. Nevertheless, users' speculation may not be always accurate. We took the first step in helping users make speculations about notifications to facilitate selective attendance. We developed Notiware, an Android app that helps users speculate about notifications by generating alert assistance when it detects that the app of an arriving notification cannot be correctly speculated. An ESM study with 30 users who used Notiware for 4 weeks shows that, overall, Notiware increased the accuracy of participants' speculation of notification app by 28%. Moreover, Notiware helped the participants skipped irrelevant notifications 1.21 times more often than without the assistance.
AB - A large body of interruptibility research has attempted to minimize disruptions caused by smartphone notifications. Yet, little research has explored ways to enable users to selectively attend to notifications, which can occur as early as users first notice the notification alert and start to speculate about its source. Nevertheless, users' speculation may not be always accurate. We took the first step in helping users make speculations about notifications to facilitate selective attendance. We developed Notiware, an Android app that helps users speculate about notifications by generating alert assistance when it detects that the app of an arriving notification cannot be correctly speculated. An ESM study with 30 users who used Notiware for 4 weeks shows that, overall, Notiware increased the accuracy of participants' speculation of notification app by 28%. Moreover, Notiware helped the participants skipped irrelevant notifications 1.21 times more often than without the assistance.
KW - intelligent system
KW - notification source
KW - receptivity
UR - http://www.scopus.com/inward/record.url?scp=85091837749&partnerID=8YFLogxK
U2 - 10.1145/3410530.3414432
DO - 10.1145/3410530.3414432
M3 - Conference contribution
AN - SCOPUS:85091837749
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 - 468
EP - 473
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 -