Does your smartwatch miss a (heart) beat? - Investigation of wearables for affective research

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• Katrin Hänsel (QMUL)
• Thursday 09 November 2017, 15:00-16:00
• FW26, Computer Laboratory, William Gates Building.

If you have a question about this talk, please contact Liang Wang.

Modern fitness trackers provide easy means to acquire physiological sensing data of users (e.g. as heart rate) throughout the day. This data has huge potential to be used in novel applications or research contexts; however, their suitability is not well understood. In this talk, I will discuss our results on the data quality of 3 fitness wearables under different physical activity and stressful conditions. The findings indicate, that performance of the devices varies amongst different conditions and is mostly influenced by movement. Still, we believe there are applications where this tradeoff is outweighed by the benefits of those small devices; hence, I will further present and discuss our suggestions on the suitability of different wearable technologies in research scenarios depending on the requirements and nature of the studies. The last part of the talk will focus on my future research directions on applying these findings in the wild by investigating how we can use data from smartwatches to predict how people feel.

Bio: Katrin is a PhD student in the third year at the Queen Mary University London. Her research focuses on the use of smart wearable sensing to improve health and wellbeing of individuals. After graduating with a M.Sc. in Computer Science in 2012, she worked two years as a research associate at the University of Applied Sciences Mittweida. This work was focused on the development of novel approaches for software modelling visualisations using 3D and virtual reality technologies. She is especially interested in using ubiquitous technologies like smartphones and wearables to detect emotions and influencing factors in everyday life settings. Her general interest lie in the field of emerging and social mediating technologies and human factors.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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