University of Oulu

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

Quantifying sources and types of smartwatch usage sessions

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Author: Visuri, Aku1; Sarsenbayeva, Zhanna1,2; van Berkel, Niels1,2;
Organizations: 1Center for Ubiquitous Computing, University of Oulu
2Department of Computing and Information Systems, The University of Melbourne
3Department of Computer Science, Dartmouth College
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201801162071
Language: English
Published: ACM, 2017
Publish Date: 2018-01-16
Description:

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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ISBN: 978-1-4503-4655-9
Pages: 3569 - 3581
DOI: 10.1145/3025453.3025817
OADOI: https://oadoi.org/10.1145/3025453.3025817
Host publication: CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Conference: Conference on Human Factors in Computing Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), the European Commission (Grants PCIG11-GA-2012-322138, 6AIKA-A71143-AKAI), and Marie Skłodowska-Curie Actions (645706-GRAGE).
EU Grant Number: (645706) GRAGE - Grey and green in Europe: elderly living in urban areas
(322138) URBANMOB - Modelling Urban Mobility in City-Scale Ubiquitous Systems
Academy of Finland Grant Number: 276786
285062
286386
285459
Detailed Information: 276786 (Academy of Finland Funding decision)
285062 (Academy of Finland Funding decision)
286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
Copyright information: © 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.