Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data

G Jung, S Park, EY Ma, H Kim, U Lee - ACM Computing Surveys, 2024 - dl.acm.org
Smartphones can unobtrusively capture human behavior and contextual data such as user
interaction and mobility. Thus far, smartphone sensor data have primarily been used to gain …

Why are smartphones disruptive? An empirical study of smartphone use in real-life contexts

M Heitmayer, S Lahlou - Computers in Human Behavior, 2021 - Elsevier
Notifications are one of the core functionalities of smartphones. Previous research suggests
they can be a major disruption to the professional and private lives of users. This paper …

K-EmoPhone: A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels

S Kang, W Choi, CY Park, N Cha, A Kim… - Scientific data, 2023 - nature.com
With the popularization of low-cost mobile and wearable sensors, several studies have used
them to track and analyze mental well-being, productivity, and behavioral patterns. However …

Hello there! is now a good time to talk? Opportune moments for proactive interactions with smart speakers

N Cha, A Kim, CY Park, S Kang, M Park… - Proceedings of the …, 2020 - dl.acm.org
Increasing number of researchers and designers are envisioning a wide range of novel
proactive conversational services for smart speakers such as context-aware reminders and …

A survey of attention management systems in ubiquitous computing environments

C Anderson, I Hübener, AK Seipp, S Ohly… - Proceedings of the …, 2018 - dl.acm.org
Today's information and communication devices provide always-on connectivity, instant
access to an endless repository of information, and represent the most direct point of contact …

Predicting opportune moments to deliver notifications in virtual reality

KW Chen, YJ Chang, L Chan - Proceedings of the 2022 CHI Conference …, 2022 - dl.acm.org
Virtual reality (VR) has increasingly been used in many areas, and the need to deliver
notifications in VR is also expected to increase accordingly. However, untimely interruptions …

[PDF][PDF] SoK: Modular and efficient private decision tree evaluation

Á Kiss, M Naderpour, J Liu… - Proceedings on …, 2019 - researchportal.helsinki.fi
Decision trees and random forests are widely used classifiers in machine learning. Service
providers often host classification models in a cloud service and provide an interface for …

Multi-stage receptivity model for mobile just-in-time health intervention

W Choi, S Park, D Kim, Y Lim, U Lee - … of the ACM on interactive, mobile …, 2019 - dl.acm.org
A critical aspect of mobile just-in-time (JIT) health intervention is proper delivery timing,
which correlates with successfully promoting target behaviors. Despite extensive prior …

The effects of fragmented and sticky smartphone use on distraction and task delay

T Siebers, I Beyens… - Mobile Media & …, 2024 - journals.sagepub.com
The smartphone has become an integral part of adolescents' daily life. Despite the countless
affordances of smartphones, concerns have been raised about their enormous potential to …

Understanding user perceptions of proactive smart speakers

J Wei, T Dingler, V Kostakos - Proceedings of the ACM on Interactive …, 2021 - dl.acm.org
Voice assistants, such as Amazon's Alexa and Google Home, increasingly find their way into
consumer homes. Their functionality, however, is currently limited to being passive answer …