Rate My Professor Chelsea Dobbins

Dobbins' research focuses on the detection of emotion using smartphones/wearable sensors and personal informatics, including lifelogging, affective computing, pervasive computing, digital health, human-computer interaction, machine learning, mobile computing, mobile/wearable sensors, human digital memories, signal processing, and physiological computing. Her research has been supported by the UK's Engineering and Physical Sciences Research Council (EPSRC) for work related to developing a mobile lifelogging platform to detect negative emotions during real-life driving. In 2016 she received an ACM Computing Review Notable Article award for work related to mining multivariate temporal smart mobile data. Key publications include "Signal Processing of Multimodal Mobile Lifelogging Data towards Detecting Stress in Real-World Driving" (IEEE Transactions on Mobile Computing, 2018), "Personal informatics and negative emotions during commuter driving: effects of data visualization on cardiovascular reactivity & mood" (International Journal of Human-Computer Studies, 2020), "Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments" (Scientific Reports, 2024), and "Detection of social connectedness in everyday life via multimodal lifelogging data" (International Journal of Human-Computer Studies, 2026). Current grants include Augmented Human Operations (CSIRO, 2024-2029) and BALANCE: Promoting wellBeing in AdoLescent and young Adult caNCEr survivors (NHMRC Partnership Grant, 2024-2026).