Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber–physical convergence

M Conti, SK Das, C Bisdikian, M Kumar, LM Ni… - Pervasive and mobile …, 2012 - Elsevier
The physical environment is becoming more and more saturated with computing and
communication entities that interact among themselves, as well as with users: virtually …

A survey on smartphone-based systems for opportunistic user context recognition

SA Hoseini-Tabatabaei, A Gluhak… - ACM Computing Surveys …, 2013 - dl.acm.org
The ever-growing computation and storage capability of mobile phones have given rise to
mobile-centric context recognition systems, which are able to sense and analyze the context …

Excessive use of mobile social networking sites: Negative consequences on individuals

X Zheng, MKO Lee - Computers in Human Behavior, 2016 - Elsevier
While pervasive technologies, such as mobile social networking sites (SNS), can contribute
to increased enjoyment and convenience, their pervasive nature can also result in excessive …

An espoused cultural perspective to understand continued intention to use mobile applications: a four-country study of mobile social media application usability

H Hoehle, X Zhang, V Venkatesh - European journal of information …, 2015 - Taylor & Francis
As most mobile applications are tailored for worldwide consumption, it is a significant
challenge to develop applications that satisfy individuals with various cultural backgrounds …

Urban sensing: Using smartphones for transportation mode classification

D Shin, D Aliaga, B Tunçer, SM Arisona, S Kim… - … Environment and Urban …, 2015 - Elsevier
We present a prototype mobile phone application that implements a novel transportation
mode detection algorithm. The application is designed to run in the background, and …

A semi-supervised learning approach for robust indoor-outdoor detection with smartphones

V Radu, P Katsikouli, R Sarkar, MK Marina - Proceedings of the 12th …, 2014 - dl.acm.org
The environmental context of a mobile device determines how it is used and how the device
can optimize operations for greater efficiency and usability. We consider the problem of …

Detecting social contexts from mobile sensing indicators in virtual interactions with socially anxious individuals

Z Wang, MA Larrazabal, M Rucker, ER Toner… - Proceedings of the …, 2023 - dl.acm.org
Mobile sensing is a ubiquitous and useful tool to make inferences about individuals' mental
health based on physiology and behavior patterns. Along with sensing features directly …

A perspective on human activity recognition from inertial motion data

W Gomaa, MA Khamis - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

[HTML][HTML] An approach for proactive mobile recommendations based on user-defined rules

S Ilarri, R Trillo-Lado - Expert Systems with Applications, 2024 - Elsevier
Abstract In the Big Data era, context-aware mobile recommender systems are crucial in
assisting citizens and tourists in making informed decisions, providing a suitable way for …

Making pervasive sensing possible: Effective travel mode sensing based on smartphones

X Zhou, W Yu, WC Sullivan - Computers, Environment and Urban Systems, 2016 - Elsevier
Abstract Smartphones with embedded Global Positioning Systems (GPS) sensors and
accelerometers provide outstanding opportunities to gather information about transportation …