A Hybrid Model Based on Behavioural and Situational Context to Detect Best Time to Deliver Notifications on Mobile Devices

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

Abstract

Notifications received on the smartphone have become a vital part of typical work and social life. Notifications provide information ranging from important incoming business emails and meeting prompts to home deliveries and social interaction. But they can also become burdensome on the user as the average number of incoming notifications can be in the region of 100 per day. To cope with this overload a user might completely disable the notifications which will result in missing important information. This paper evaluates the user challenges, methods used to manage these challenges and discusses key challenges for data collection. In particular, we assess an overlap between user behaviour and situational context. This has led to the development of a hybrid model based on both behavioural and situational context to detect the best time to send the notification to the user.
Original languageEnglish
Title of host publicationProceedings of International Conference on Integrated Emerging Methods of Artificial Intelligence & Cloud Computing
Number of pages11
Publication statusAccepted/In press - 13 Apr 2021
EventInternational Conference on Integrated Emerging Methods of Artificial Intelligence & Cloud Computing - Virtual Mode, London, United Kingdom
Duration: 26 Apr 202129 Apr 2021
Conference number: 2021
https://iemaicloud.org/

Conference

ConferenceInternational Conference on Integrated Emerging Methods of Artificial Intelligence & Cloud Computing
Abbreviated titleIEMAICLOUD
Country/TerritoryUnited Kingdom
CityLondon
Period26/04/2129/04/21
Internet address

Keywords

  • Ubiquitous computing
  • Hybrid Model
  • Notification Management System
  • Machine Learning (ML)

Fingerprint

Dive into the research topics of 'A Hybrid Model Based on Behavioural and Situational Context to Detect Best Time to Deliver Notifications on Mobile Devices'. Together they form a unique fingerprint.

Cite this