Managing the growing influx of notification data being pushed at mobile phone users is an increasing necessity in today's world of social media and ubiquitous computing. The challenge of effectively managing a diverse range of notification types, and analyzing their current context with relation to an individual user, is a difficult task. This paper proposes a notification management framework which aims to contextually deliver notifications at the peak opportune time of users, thus relieving them of distractions caused by contextually irrelevant notifications. The proposed design is implemented using an info-bead modeling approach and fuzzy inference system and the solution is evaluated through a comparison between simulated and expected results for two real-world notification data-sets. It was concluded that the solution is effective when rich data sources are available and the fuzzy inference system is adequately personalized to the user.
['Kieran Fraser', 'Bilal Yousuf', 'Owen Conlan']
A context-aware, info-bead and fuzzy inference approach to notification management