[HTML][HTML] Identifying indicators of smartphone addiction through user-app interaction

B Noë, LD Turner, DEJ Linden, SM Allen… - Computers in human …, 2019 - Elsevier
We introduce a new approach to monitoring the activity of smartphone users based on their
physical interactions with the interface. Typical events are taps, scrolling and ty**, carried …

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 …

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 …

Dismissed! a detailed exploration of how mobile phone users handle push notifications

M Pielot, A Vradi, S Park - … of the 20th international conference on …, 2018 - dl.acm.org
We analyzed 794,525 notifications from 278 mobile phone users and how they were
handled. Our study advances prior analyses in two ways: first, we systematically split …

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 …

Not merely deemed as distraction: Investigating smartphone users' motivations for notification-interaction

XJ Chang, FH Hsu, EC Liang, ZY Chiou… - Proceedings of the …, 2023 - dl.acm.org
Notifications are commonly considered a distraction when they arrive during a task, and
consequently, prior research has consistently sought effective ways of deferring their arrival …

Prompto: Investigating receptivity to prompts based on cognitive load from memory training conversational agent

SWT Chan, S Sapkota, R Mathews, H Zhang… - Proceedings of the …, 2020 - dl.acm.org
Prospective memory lapses, which involve forgetting to perform intended actions, affect
independent living in older adults. Although memory training using smartphone applications …

Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors

J Steil, P Müller, Y Sugano, A Bulling - Proceedings of the 20th …, 2018 - dl.acm.org
Visual attention is highly fragmented during mobile interactions, but the erratic nature of
attention shifts currently limits attentive user interfaces to adapting after the fact, ie after shifts …

Alert now or never: Understanding and predicting notification preferences of smartphone users

T Li, JK Haines, MFR De Eguino, JI Hong… - ACM Transactions on …, 2023 - dl.acm.org
Notifications are an indispensable feature of mobile devices, but their delivery can interrupt
and distract users. Prior work has examined interventions, such as deferring notification …

Are you killing time? Predicting smartphone users' time-killing moments via fusion of smartphone sensor data and screenshots

YC Chen, YJ Lee, KC Kao, J Tsai, EC Liang… - Proceedings of the …, 2023 - dl.acm.org
Time-killing on smartphones has become a pervasive activity, and could be opportune for
delivering content to their users. This research is believed to be the first attempt at time …