The experience sampling method on mobile devices

N Van Berkel, D Ferreira, V Kostakos - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The Experience Sampling Method (ESM) is used by scientists from various disciplines to
gather insights into the intra-psychic elements of human life. Researchers have used the …

Smartphone sensing methods for studying behavior in everyday life

GM Harari, SR Müller, MSH Aung… - Current opinion in …, 2017 - Elsevier
Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …

Xair: A framework of explainable ai in augmented reality

X Xu, A Yu, TR Jonker, K Todi, F Lu, X Qian… - Proceedings of the …, 2023 - dl.acm.org
Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …

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 …

Digital hyperconnectivity and the self

R Brubaker - Theory and Society, 2020 - Springer
Digital hyperconnectivity is a defining fact of our time. In addition to recasting social
interaction, culture, economics, and politics, it has profoundly transformed the self. It has …

[HTML][HTML] Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth …

C Vandelanotte, S Trost, D Hodgetts, T Imam… - Journal of Biomedical …, 2023 - Elsevier
Objective Physical inactivity is a leading modifiable cause of death and disease worldwide.
Population-based interventions to increase physical activity are needed. Existing automated …

Mobile health in the develo** world: Review of literature and lessons from a case study

S Latif, R Rana, J Qadir, A Ali, MA Imran… - IEEE Access, 2017 - ieeexplore.ieee.org
The mHealth trend, which uses mobile devices and associated technology for health
interventions, offers unprecedented opportunity to transform the health services available to …

Just-in-time adaptive interventions for suicide prevention: Promise, challenges, and future directions

DDL Coppersmith, W Dempsey, EM Kleiman… - Psychiatry, 2022 - Taylor & Francis
The suicide rate (currently 14 per 100,000) has barely changed in the United States over the
past 100 years. There is a need for new ways of preventing suicide. Further, research has …

Beyond interruptibility: Predicting opportune moments to engage mobile phone users

M Pielot, B Cardoso, K Katevas, J Serrà… - Proceedings of the …, 2017 - dl.acm.org
Many of today's mobile products and services engage their users proactively via push
notifications. However, such notifications are not always delivered at the right moment …

MindShift: leveraging large language models for mental-states-based problematic smartphone use intervention

R Wu, C Yu, X Pan, Y Liu, N Zhang, Y Fu… - Proceedings of the …, 2024 - dl.acm.org
Problematic smartphone use negatively affects physical and mental health. Despite the wide
range of prior research, existing persuasive techniques are not flexible enough to provide …