How busy are you? Predicting the interruptibility intensity of mobile users

Fengpeng Yuan, Xianyi Gao, Janne Lindqvist

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

25 Citations (Scopus)

Abstract

Smartphones frequently notify users about newly available messages or other notifications. It can be very disruptive when these notifications interrupt users while they are busy. Our work here is based on the observation that people usually exhibit different levels of busyness at different contexts. This means that classifying users' interruptibility as a binary status, interruptible or not interruptible, is not sufficient to accurately measure their availability towards smartphone interruptions. In this paper, we propose, implement and evaluate a two-stage hierarchical model to predict people's interruptibility intensity. Our work is the first to introduce personality traits into inter-ruptibility prediction model, and we found that personality data improves the prediction significantly. Our model bootstraps the prediction with similar people's data, and provides a good initial prediction for users whose individual models have not been trained on their own data yet. Overall prediction accuracy of our model can reach 66.1%. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Original languageEnglish
Title of host publicationCHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery (ACM)
Pages5346-5360
Number of pages15
ISBN (Electronic)9781450346559
DOIs
Publication statusPublished - 2 May 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Human-Computer Interaction with Mobile Devices and Services - Vienna, Austria
Duration: 4 Sep 20177 Sep 2017
Conference number: 19
https://mobilehci.acm.org/2017/
http://mobilehci.acm.org/2017/

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2017-May

Conference

ConferenceInternational Conference on Human-Computer Interaction with Mobile Devices and Services
Abbreviated titleMobileHCI 2017
CountryAustria
CityVienna
Period04/09/201707/09/2017
Internet address

Keywords

  • Context
  • Interruptibility
  • Notifications
  • Predictive models

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