Home > Research > Publications & Outputs > Open-source smartphone app and tools for measur...

Research

Associated organisational units

Links

Text available via DOI:

Keywords

View graph of relations

Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use

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

Published

Standard

Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use. / Geyer, K.; Ellis, D.A.; Shaw, H. et al.
In: Behavior Research Methods, Vol. 54, No. 1, 01.02.2022, p. 1-12.

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

Harvard

Geyer, K, Ellis, DA, Shaw, H & Davidson, BI 2022, 'Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use', Behavior Research Methods, vol. 54, no. 1, pp. 1-12. https://doi.org/10.3758/s13428-021-01585-7

APA

Geyer, K., Ellis, D. A., Shaw, H., & Davidson, B. I. (2022). Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use. Behavior Research Methods, 54(1), 1-12. https://doi.org/10.3758/s13428-021-01585-7

Vancouver

Geyer K, Ellis DA, Shaw H, Davidson BI. Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use. Behavior Research Methods. 2022 Feb 1;54(1):1-12. Epub 2021 Jun 3. doi: 10.3758/s13428-021-01585-7

Author

Geyer, K. ; Ellis, D.A. ; Shaw, H. et al. / Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use. In: Behavior Research Methods. 2022 ; Vol. 54, No. 1. pp. 1-12.

Bibtex

@article{6b231c656a0e4a7a9f369fe9b9244439,
title = "Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use",
abstract = "Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human–computer interaction. This has become particularly problematic for devices like smartphones that are used frequently and for a variety of purposes. While commercial apps can provide an element of objectivity, these are {\textquoteleft}closed{\textquoteright} and cannot be adapted to deliver a researcher-focused {\textquoteleft}open{\textquoteright} platform that allows for straightforward replication. Therefore, we have developed an Android app that provides accurate, highly detailed, and customizable accounts of smartphone usage without compromising participants{\textquoteright} privacy. Further recommendations and code are provided to assist with data analysis. All source code, materials, and data are freely available (see links in supplementary materials section). ",
keywords = "Digital traces, Mobile software, Screen time, Smartphones, Technology use",
author = "K. Geyer and D.A. Ellis and H. Shaw and B.I. Davidson",
year = "2022",
month = feb,
day = "1",
doi = "10.3758/s13428-021-01585-7",
language = "English",
volume = "54",
pages = "1--12",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Springer New York LLC",
number = "1",

}

RIS

TY - JOUR

T1 - Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use

AU - Geyer, K.

AU - Ellis, D.A.

AU - Shaw, H.

AU - Davidson, B.I.

PY - 2022/2/1

Y1 - 2022/2/1

N2 - Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human–computer interaction. This has become particularly problematic for devices like smartphones that are used frequently and for a variety of purposes. While commercial apps can provide an element of objectivity, these are ‘closed’ and cannot be adapted to deliver a researcher-focused ‘open’ platform that allows for straightforward replication. Therefore, we have developed an Android app that provides accurate, highly detailed, and customizable accounts of smartphone usage without compromising participants’ privacy. Further recommendations and code are provided to assist with data analysis. All source code, materials, and data are freely available (see links in supplementary materials section).

AB - Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human–computer interaction. This has become particularly problematic for devices like smartphones that are used frequently and for a variety of purposes. While commercial apps can provide an element of objectivity, these are ‘closed’ and cannot be adapted to deliver a researcher-focused ‘open’ platform that allows for straightforward replication. Therefore, we have developed an Android app that provides accurate, highly detailed, and customizable accounts of smartphone usage without compromising participants’ privacy. Further recommendations and code are provided to assist with data analysis. All source code, materials, and data are freely available (see links in supplementary materials section).

KW - Digital traces

KW - Mobile software

KW - Screen time

KW - Smartphones

KW - Technology use

U2 - 10.3758/s13428-021-01585-7

DO - 10.3758/s13428-021-01585-7

M3 - Journal article

VL - 54

SP - 1

EP - 12

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 1

ER -