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IFIP Conference on Human-Computer Interaction

INTERACT 2021: Human-Computer Interaction – INTERACT 2021 pp 339–360Cite as

Investigating User Perceptions Towards Wearable Mobile Electromyography

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12935))

Abstract

Wearables capture physiological user data, enabling novel user interfaces that can identify users, adapt to the user state, 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 data collected from 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.

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Notes

  1. 1.

    All sources last accessed June 8, 2021.

  2. 2.

    https://support.apple.com/en-us/HT208955.

  3. 3.

    https://developer.spotify.com/documentation/web-api/.

  4. 4.

    https://support.google.com/android/answer/9075927.

  5. 5.

    https://www.endomondo.com/?language=EN.

  6. 6.

    https://www.google.com/fit/.

  7. 7.

    https://www.apple.com/lae/ios/health/.

  8. 8.

    https://runscribe.com/.

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Acknowledgements

The presented work was funded by the German Research Foundation (DFG) under project no. 316457582 and by dtec.bw – Digitalization and Technology Research Center of the Bundeswehr [Voice of Wisdom].

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Authors and Affiliations

  1. Bundeswehr University Munich, Munich, Germany

    Sarah Prange, Mariam Hassib & Florian Alt

  2. LMU Munich, Munich, Germany

    Sarah Prange, Sven Mayer & Maria-Lena Bittl

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  1. Sarah Prange
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  2. Sven Mayer
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  3. Maria-Lena Bittl
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  4. Mariam Hassib
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  5. Florian Alt
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Correspondence to Sarah Prange .

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Editors and Affiliations

  1. Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

  2. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  3. Computer Science Department, University of Pisa, Pisa, Italy

    Alessio Malizia

  4. Department of Computer Science, University of York, York, UK

    Helen Petrie

  5. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  6. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Desolda

  7. Microsoft Research, Redmond, WA, USA

    Kori Inkpen

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Prange, S., Mayer, S., Bittl, ML., Hassib, M., Alt, F. (2021). Investigating User Perceptions Towards Wearable Mobile Electromyography. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12935. Springer, Cham. https://doi.org/10.1007/978-3-030-85610-6_20

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