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    Rights statement: This is the author’s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 130, 2019 DOI: 10.1016/j.ijhcs.2019.05.004

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Do smartphone usage scales predict behavior?

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Do smartphone usage scales predict behavior? / Ellis, David; Davidson, Brittany; Shaw, Heather et al.
In: International Journal of Human-Computer Studies, Vol. 130, 01.10.2019, p. 86-92.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Ellis, D, Davidson, B, Shaw, H & Geyer, K 2019, 'Do smartphone usage scales predict behavior?', International Journal of Human-Computer Studies, vol. 130, pp. 86-92. https://doi.org/10.1016/j.ijhcs.2019.05.004

APA

Ellis, D., Davidson, B., Shaw, H., & Geyer, K. (2019). Do smartphone usage scales predict behavior? International Journal of Human-Computer Studies, 130, 86-92. https://doi.org/10.1016/j.ijhcs.2019.05.004

Vancouver

Ellis D, Davidson B, Shaw H, Geyer K. Do smartphone usage scales predict behavior? International Journal of Human-Computer Studies. 2019 Oct 1;130:86-92. Epub 2019 May 16. doi: 10.1016/j.ijhcs.2019.05.004

Author

Ellis, David ; Davidson, Brittany ; Shaw, Heather et al. / Do smartphone usage scales predict behavior?. In: International Journal of Human-Computer Studies. 2019 ; Vol. 130. pp. 86-92.

Bibtex

@article{6962dc70a26c45dc9b9a903ad084a641,
title = "Do smartphone usage scales predict behavior?",
abstract = "Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. However, despite a growing body of resources that can quantify smartphone use, research within psychology and social science overwhelmingly relies on self-reported assessments. These have yet to convincingly demonstrate an ability to predict objective behavior. Here, and for the first time, we compare a variety of smartphone use and {\textquoteleft}addiction{\textquoteright} scales with objective behaviors derived from Apple{\textquoteright}s Screen Time application. While correlations between psychometric scales and objective behavior are generally poor, single estimates and measures that attempt to frame technology use as habitual rather than {\textquoteleft}addictive{\textquoteright} correlate more favorably with subsequent behavior. We conclude that existing self-report instruments are unlikely to be sensitive enough to accurately predict basic technology use related behaviors. As a result, conclusions regarding the psychological impact of technology are unreliable when relying solely on these measures to quantify typical usage.",
author = "David Ellis and Brittany Davidson and Heather Shaw and Kristoffer Geyer",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 130, 2019 DOI: 10.1016/j.ijhcs.2019.05.004",
year = "2019",
month = oct,
day = "1",
doi = "10.1016/j.ijhcs.2019.05.004",
language = "English",
volume = "130",
pages = "86--92",
journal = "International Journal of Human-Computer Studies",
issn = "1071-5819",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Do smartphone usage scales predict behavior?

AU - Ellis, David

AU - Davidson, Brittany

AU - Shaw, Heather

AU - Geyer, Kristoffer

N1 - This is the author’s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 130, 2019 DOI: 10.1016/j.ijhcs.2019.05.004

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. However, despite a growing body of resources that can quantify smartphone use, research within psychology and social science overwhelmingly relies on self-reported assessments. These have yet to convincingly demonstrate an ability to predict objective behavior. Here, and for the first time, we compare a variety of smartphone use and ‘addiction’ scales with objective behaviors derived from Apple’s Screen Time application. While correlations between psychometric scales and objective behavior are generally poor, single estimates and measures that attempt to frame technology use as habitual rather than ‘addictive’ correlate more favorably with subsequent behavior. We conclude that existing self-report instruments are unlikely to be sensitive enough to accurately predict basic technology use related behaviors. As a result, conclusions regarding the psychological impact of technology are unreliable when relying solely on these measures to quantify typical usage.

AB - Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. However, despite a growing body of resources that can quantify smartphone use, research within psychology and social science overwhelmingly relies on self-reported assessments. These have yet to convincingly demonstrate an ability to predict objective behavior. Here, and for the first time, we compare a variety of smartphone use and ‘addiction’ scales with objective behaviors derived from Apple’s Screen Time application. While correlations between psychometric scales and objective behavior are generally poor, single estimates and measures that attempt to frame technology use as habitual rather than ‘addictive’ correlate more favorably with subsequent behavior. We conclude that existing self-report instruments are unlikely to be sensitive enough to accurately predict basic technology use related behaviors. As a result, conclusions regarding the psychological impact of technology are unreliable when relying solely on these measures to quantify typical usage.

U2 - 10.1016/j.ijhcs.2019.05.004

DO - 10.1016/j.ijhcs.2019.05.004

M3 - Journal article

VL - 130

SP - 86

EP - 92

JO - International Journal of Human-Computer Studies

JF - International Journal of Human-Computer Studies

SN - 1071-5819

ER -