A preliminary attempt of an intelligent system predicting users' correctness of notifications' sender speculation

Tang Jie Chang, Jian Hua Jiang Chen, Hao Ping Lee, Yung Ju Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Prior interruptibility research has focused on identifying interruptible or opportune moments for users to handle notifications. Yet, users may not want to attend to all notifications even at these moments. Research has shown that users' current practices for selective attendance are through speculating about notification sources. Yet, sometimes the above information is insufficient, making speculations difficult. This paper describes the first research attempt to examine how well a machine learning model can predict the moments when users would incorrectly speculate the sender of a notification. We built a machine learning model that can achieve an recall: 84.39%, precision: 56.78%, and F1-score of 0.68. We also show that important features for predicting these moments.

Original languageEnglish
Title of host publicationUbiComp/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
PublisherAssociation for Computing Machinery
Pages13-16
Number of pages4
ISBN (Electronic)9781450380768
DOIs
StatePublished - 10 Sep 2020
Event2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 - Virtual, Online, Mexico
Duration: 12 Sep 202017 Sep 2020

Publication series

NameUbiComp/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

Conference

Conference2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
CountryMexico
CityVirtual, Online
Period12/09/2017/09/20

Keywords

  • intelligent system
  • notification source
  • receptivity

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