[HTML][HTML] Optimizing Forecasted Activity Notifications with Reinforcement Learning

M Fikry, S Inoue - Sensors, 2023 - mdpi.com
In this paper, we propose the notification optimization method by providing multiple
alternative times as a reminder for a forecasted activity with and without probabilistic …

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 …

[PDF][PDF] From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data.

A Lisowska, S Wilk, M Peleg - SMARTERCARE@ AI* IA, 2021 - ceur-ws.org
Cancer patients may struggle with mental wellbeing issues such as distress and depression.
As a part of the CAPABLE project, we aim to develop a digital behaviour-change …

Modelling reminder system for dementia by reinforcement learning

M Fikry, N Mairittha, S Inoue - Sensor-and Video-Based Activity and …, 2022 - Springer
Prospective memory refers to preparing, remembering and recalling plans that have been
conceived in an intended manner. Various busyness and distractions can make people …

Investigating User-perceived Impacts of Contextual Factors on Opportune Moments

YJ Lee, MH Wu, CC Chang, XJ Chang… - Proceedings of the ACM …, 2024 - dl.acm.org
In this exploratory experience sampling method (ESM) research, we examined the
perceptions of 74 smartphone users regarding the opportuneness of moments for …

Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News …

CC Lin, CC Wu, PJ Huang, YH Lai, YT Ho… - Proceedings of the …, 2023 - dl.acm.org
News notifications on smartphones provide a convenient way to stay informed, but their
delivery timing can influence user engagement. Despite this, research on the impact of …

Design of High-Confidence Embedded Operating System based on Artificial Intelligence and Smart Chips

Q Ma - 2022 Second International Conference on Artificial …, 2022 - ieeexplore.ieee.org
Design of the high-confidence embedded operating system based on artificial intelligence
and smart chips is studied in this paper. The cooperative physical layer security system is …

Optimal Control to Support High-Level User Goals in Human-Computer Interaction

C Gebhardt, O Hilliges - … Intelligence for Human Computer Interaction: A …, 2021 - Springer
With emerging technologies like robots, mixed-reality systems or mobile devices, machine-
provided capabilities are increasing, so is the complexity of their control and display …

Home-based Reminder System for Enhanced Dementia Support: Leveraging Data-Driven Insights for Daily Living

A Sanchez - 2024 - search.proquest.com
Dementia significantly affects quality of life by impairing cognitive functions such as memory,
reasoning, and the ability to perform daily tasks. As life expectancy increases, so does the …

Transformers for prompt-level EMA non-response prediction

S Nagesh, A Moreno, SM Carpenter, J Yap… - arxiv preprint arxiv …, 2021 - arxiv.org
Ecological Momentary Assessments (EMAs) are an important psychological data source for
measuring current cognitive states, affect, behavior, and environmental factors from …