[HTML][HTML] Mobile data science and intelligent apps: concepts, AI-based modeling and research directions

IH Sarker, MM Hoque, MK Uddin… - Mobile Networks and …, 2021 - Springer
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …

Impact of parents mobile device use on parent-child interaction: A literature review

CA Kildare, W Middlemiss - Computers in Human Behavior, 2017 - Elsevier
This review attempts to provide an overview of parents' mobile device distractions while
caring for their children and the implications of this distraction on parent-child relationships …

[PDF][PDF] A survey of results on mobile phone datasets analysis

VD Blondel, A Decuyper, G Krings - EPJ data science, 2015 - Springer
In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

[HTML][HTML] Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage

IH Sarker, ASM Kayes, P Watters - Journal of Big Data, 2019 - Springer
Due to the increasing popularity of recent advanced features and context-awareness in
smart mobile phones, the contextual data relevant to users' diverse activities with their …

An in-situ study of mobile phone notifications

M Pielot, K Church, R De Oliveira - Proceedings of the 16th international …, 2014 - dl.acm.org
Notifications on mobile phones alert users about new messages, emails, social network
updates, and other events. However, little is understood about the nature and effect of such …

My phone and me: understanding people's receptivity to mobile notifications

A Mehrotra, V Pejovic, J Vermeulen… - Proceedings of the …, 2016 - dl.acm.org
Notifications are extremely beneficial to users, but they often demand their attention at
inappropriate moments. In this paper we present an in-situ study of mobile interruptibility …

Large-scale assessment of mobile notifications

A Sahami Shirazi, N Henze, T Dingler, M Pielot… - Proceedings of the …, 2014 - dl.acm.org
Notifications are a core feature of mobile phones. They inform users about a variety of
events. Users may take immediate action or ignore them depending on the importance of a …

Batching smartphone notifications can improve well-being

N Fitz, K Kushlev, R Jagannathan, T Lewis… - Computers in Human …, 2019 - Elsevier
Every day, billions of us receive smartphone notifications. Designed to distract, these
interruptions capture and monetize our time and attention. Though smartphones are …

InterruptMe: designing intelligent prompting mechanisms for pervasive applications

V Pejovic, M Musolesi - Proceedings of the 2014 ACM International Joint …, 2014 - dl.acm.org
The mobile phone represents a unique platform for interactive applications that can harness
the opportunity of an immediate contact with a user in order to increase the impact of the …

Behavdt: a behavioral decision tree learning to build user-centric context-aware predictive model

IH Sarker, A Colman, J Han, AI Khan… - Mobile Networks and …, 2020 - Springer
This paper formulates the problem of building a context-aware predictive model based on
user diverse behavioral activities with smartphones. In the area of machine learning and …