Attention computing : overview of mobile sensing applied to measuring attention |
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Author: | Visuri, Aku1; van Berkel, Niels2 |
Organizations: |
1University of Oulu, Oulu, Finland 2University College London, London, United Kingdom |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020042322163 |
Language: | English |
Published: |
Association for Computing Machinery,
2019
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Publish Date: | 2020-04-23 |
Description: |
AbstractThe measurement of participant attention is a frequent by-product of mobile sensing-based studies, which typically focus on user interruptibility or the effectiveness of notification deliveries. We note that, despite the popularity of interruptibility research within our discipline, research focused on attention is surprisingly scarce. This omission may be due to (a combination of) methodological, technological, or disciplinary constraints. In this paper, we argue how attention levels can be effectively measured with existing technologies and methodologies by adapting continuous measurements of attention fluctuations. Many clinically researched technologies, as well as sensing-based analysis methods, could be leveraged for this purpose. This paper invites co-researchers to assess the use of novel ways to measure attention in their future endeavours. see all
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ISBN Print: | 978-1-4503-6869-8 |
Pages: | 1079 - 1082 |
DOI: | 10.1145/3341162.3344843 |
OADOI: | https://oadoi.org/10.1145/3341162.3344843 |
Host publication: |
2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 |
Conference: |
ACM International Joint Conference on Pervasive and Ubiquitous Computing |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work is partially funded by the Academy of Finland (Grants 313224-STOP, 316253-SENSATE and 318927-6Genesis Flagship). |
Academy of Finland Grant Number: |
313224 316253 318927 |
Detailed Information: |
313224 (Academy of Finland Funding decision) 316253 (Academy of Finland Funding decision) 318927 (Academy of Finland Funding decision) |
Copyright information: |
© 2019 Association for Computing Machinery. 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 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019, https://doi.org/10.1145/3341162.3344843. |