Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

When searching and browsing the web, more and more of the information we encounter is
generated or mediated through large language models (LLMs). This can be looking for a …

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 …

Personal informatics (PI) systems are widely used in various domains such as mental health
to provide insights from self-tracking data for behavior change. Users are highly interested in …

Significant investment of time and effort for language learning has prompted a growing
interest in microlearning. While microlearning requires frequent participation in 3-to-10 …

People with mental health issues often stay indoors, reducing their outdoor activities. This
situation emphasizes the need for self-tracking technology in homes for mental health …

Method: This study included 478 Secondary Education students between 10 and 14 years of
age. This is a cross-sectional study that used Path Analysis differentiated by sex, with …

Elicitation diary studies, a type of qualitative, longitudinal research method, involve
participants to self-report aspects of events of interest at their occurrences as memory cues …

Background Machine learning models often use passively recorded sensor data streams as
inputs to train machine learning models that predict outcomes captured through ecological …

Touchscreen in-vehicle central control interfaces are rapidly replacing traditional physical
buttons. However, the differences in the effects of tactile feedback between touchscreens …