Quantifying sources and types of smartwatch usage sessions
Visuri, Aku; Sarsenbayeva, Zhanna; van Berkel, Niels; Goncalves, Jorge; Rawassizadeh, Reza; Kostakos, Vassilis; Ferreira, Denzil (2017-05-02)
Aku Visuri, Zhanna Sarsenbayeva, Niels van Berkel, Jorge Goncalves, Reza Rawassizadeh, Vassilis Kostakos, and Denzil Ferreira. 2017. Quantifying Sources and Types of Smartwatch Usage Sessions. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3569-3581. DOI: https://doi.org/10.1145/3025453.3025817
© Visuri et al & ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems}, http://dx.doi.org/10.1145/3025453.3025817. Published in this repository with the kind permission of the publisher.
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https://urn.fi/URN:NBN:fi-fe201801162071
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Abstract
We seek to quantify smartwatch use, and establish differences and similarities to smartphone use. Our analysis considers use traces from 307 users that include over 2.8 million notifications and 800,000 screen usage events, and we compare our findings to previous work that quantifies smartphone use. The results show that smartwatches are used more briefly and more frequently throughout the day, with half the sessions lasting less than 5 seconds. Interaction with notifications is similar across both types of devices, both in terms of response times and preferred application types. We also analyse the differences between our smartwatch dataset and a dataset aggregated from four previously conducted smartphone studies. The similarities and differences between smartwatch and smartphone use suggest effect on usage that go beyond differences in form factor.
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