PhD Student in Computer Science and Mathematics
Hello Hello!
I am Daniela, a PhD student researching engagement, emotions, and other affective states in work environments. My work focuses on analyzing physiological data—such as heart rate variability (HRV) and electrodermal activity (EDA)—to better understand human interactions in modern work contexts. I am a member of the Collab research group, where we explore the intersection of human-centered computing, collaboration, and affective technologies.
- Artificial Intelligence
- Emotion Recognition
- Biometric Sensors
- Human Aspect in Software Engineering
PhD Student in Computer Science and Mathematics
University of Bari
MSc Computer Science - Artificial Intelligence
University of Bari
BSc Computer Science
University of Bari
My research focuses on emotional awareness in collaborative work, with a focus on recognizing and using affective and cognitive states to support well-being and performance.
I study how physiological signals—such as heart rate variability (HRV), electrodermal activity (EDA) and EEG—combined with user input and contextual information, can provide insights into stress, engagement, and emotional dynamics during work activities.
The goal is to develop non-intrusive methods and tools that promote emotional self-awareness, reduce stress, and support reflection in both lab and real-world settings.