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- W2531859617 abstract "Wearable technologies and low-cost hardware platforms for physiological data sensing are rapidly growing. However, biosignal sources pose usability and acceptability challenges, which can negativelly affect the users’ experience and performance when working with systems that incorporate physiological sensing. This paper analyses and presents practical considerations about the use of biosignals, highlighting aspects that practitioners and novice researchers should be aware of when designing their systems, especially in real-world use cases. Common biosignal modalities are characterised according to a proposed multidimensional taxonomy (C.A.O.S.), devised to characterize physiological data sources and balancing expectations around their use in human-computer interaction." @default.
- W2531859617 created "2016-10-21" @default.
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- W2531859617 date "2016-10-13" @default.
- W2531859617 modified "2023-10-17" @default.
- W2531859617 title "The Biosignal C.A.O.S.: Reflections on the Usability of Physiological Sensing for Human-Computer Interaction Practitioners and Researchers" @default.
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- W2531859617 doi "https://doi.org/10.1007/978-3-319-46669-9_132" @default.
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