Advances in large language models (LLMs) have empowered a variety of applications.
However, there is still a significant gap in research when it comes to understanding and …

Emotion recognition technologies, while critiqued for bias, validity, and privacy invasion,
continue to be developed and applied in a range of domains including in high-stakes …

Understanding the dynamics of mental health among undergraduate students across the
college years is of critical importance, particularly during a global pandemic. In our study, we …

Quantified smart buildings increasingly utilise data-rich technologies (such as embedded
sensors and personal wearables). Research and development however, rarely addresses …

Wearable devices have become ubiquitous, collecting rich temporal data that offers valuable
insights into human activities, health monitoring, and behavior analysis. Leveraging these …

Over the past few decades, ubiquitous sensors and systems have been an integral part of
humans' everyday life. They augment human capabilities and provide personalized …

The interplay between mood and eating has been the subject of extensive research within
the fields of nutrition and behavioral science, indicating a strong connection between the …

The application of machine learning (ML) techniques for well-being tasks has grown in
popularity due to the abundance of passively-sensed data generated by devices. However …

As concerns about employee burnout and skilled staff shortages in cybersecurity grow, our
study aims to better understand the contributing factors to burnout in this field. Utilizing a …

The increasing integration of computing technologies in the workplace has also seen the
conceptualization and development of data-driven and algorithmic tools that aim to improve …