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Accurate reaction times on smartphones: the challenges of developing a mobile psychomotor vigilance task

Arthurs, Mel ORCID: 0000-0002-2642-4704, Dominguez Veiga, José Juan ORCID: 0000-0002-6634-9606 and Ward, Tomás E. ORCID: 0000-0002-6173-6607 (2021) Accurate reaction times on smartphones: the challenges of developing a mobile psychomotor vigilance task. In: ISWC '21: 2021 International Symposium on Wearable Computers, 21-26 Sept 2021, Online (USA). ISBN 978-1-4503-8462-9

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Abstract

The mobile psychomotor vigilance task (PVT) has been found to be a valid predictor of cognitive fatigue. However, absolute reaction time (RT) recorded by mobile PVT is inaccurate. This is concerning as participant RTs are used in the analysis of PVT results. This paper aims to characterise this problem and assess the margin of error across common iOS software frameworks. A novel Arduino test instrument was developed to simulate a user’s reaction, providing a ground truth for the RT. We found in our experiments that there is between a 29.57% and 48.58% increase over the ground truth RT in the iOS implementations tested. These are significant overestimations that will affect the validity of the outcome metrics for any mobile PVT study participants.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:As part of UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Uncontrolled Keywords:PVT; cognitive fatigue; reaction times; latency; smartphones
Subjects:Computer Science > Computer software
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: ISWC '21: 2021 International Symposium on Wearable Computers, Proceeding. . Association for Computing Machinery (ACM). ISBN 978-1-4503-8462-9
Publisher:Association for Computing Machinery (ACM)
Official URL:https://dx.doi.org/10.1145/3460421.3478818
Copyright Information:© 2021 The Authors. Open Access (CC-BY 4.0)
Funders:ScienceFoundationIreland (Grant No. SFI/12/RC/2289_P2), AIB
ID Code:27535
Deposited On:11 Aug 2022 13:22 by Thomas Murtagh . Last Modified 11 Aug 2022 13:22

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