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Sarah Prange, Christoph Mayer, Maria-Lena Bittl, Mariam Hassib, Florian Alt
Investigating User Perceptions Towards Wearable Mobile Electromyography
In INTERACT '21: Proceedings of the 18th IFIP TC 13 International Conference on Human-Computer Interaction. September 02, 2021. Springer, Berlin-Heidelberg, Germany. (bib)

Wearables capture physiological user data, enabling novel user interfaces that can identify users, adapt their user interface, and contribute to the quantified self. At the same time, little is known about users' perception of this new technology. In this paper, we present findings from a user study (N=36) in which participants used an electromyography (EMG) wearable and a visualization of the data that can be collected using EMG wearables. We found that participants are highly unaware of what EMG data can reveal about them. Allowing them to explore their physiological data makes them more reluctant to share this data. We conclude with deriving guidelines, to help designers of physiological data-based user interfaces to (a) protect users' privacy, (b) better inform them, and (c) ultimately support the uptake of this technology.