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Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017)
Griffiths’ (2017) response to the recent commentary piece by Ryding and Kaye (2017) on “Internet Addiction: A conceptual minefield” provided a useful critique and extension of some key issues. We take this opportunity to further build upon on one of these issues to provide some further insight into...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814548/ https://www.ncbi.nlm.nih.gov/pubmed/29491773 http://dx.doi.org/10.1007/s11469-017-9855-7 |
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author | Ellis, David A. Kaye, Linda K. Wilcockson, Thomas D.W. Ryding, Francesca C. |
author_facet | Ellis, David A. Kaye, Linda K. Wilcockson, Thomas D.W. Ryding, Francesca C. |
author_sort | Ellis, David A. |
collection | PubMed |
description | Griffiths’ (2017) response to the recent commentary piece by Ryding and Kaye (2017) on “Internet Addiction: A conceptual minefield” provided a useful critique and extension of some key issues. We take this opportunity to further build upon on one of these issues to provide some further insight into how the field of “internet addiction” (IA) or technological addictions more generally, may benefit from capitalising on behavioural data. As such, this response extends Griffiths’ (2007) points surrounding the efficacy of behavioural data previously used in studies on problematic gambling, to consider its merit for future research on IA or associated topics such as Internet Gaming Disorder (IGD) or “Smartphone addiction”. Within this, we highlight the challenges associated with utilising behavioural data but provide some practical solutions which may support researchers and practitioners in this field. These recent developments could, in turn, advance our understanding and potentially validate such concepts by establishing behavioural correlates, conditions and contexts. Indeed, corroborating behavioural metrics alongside self-report measures presents a key opportunity if scholars and practitioners are to move the field forward. |
format | Online Article Text |
id | pubmed-5814548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-58145482018-02-26 Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) Ellis, David A. Kaye, Linda K. Wilcockson, Thomas D.W. Ryding, Francesca C. Int J Ment Health Addict Commentary Griffiths’ (2017) response to the recent commentary piece by Ryding and Kaye (2017) on “Internet Addiction: A conceptual minefield” provided a useful critique and extension of some key issues. We take this opportunity to further build upon on one of these issues to provide some further insight into how the field of “internet addiction” (IA) or technological addictions more generally, may benefit from capitalising on behavioural data. As such, this response extends Griffiths’ (2007) points surrounding the efficacy of behavioural data previously used in studies on problematic gambling, to consider its merit for future research on IA or associated topics such as Internet Gaming Disorder (IGD) or “Smartphone addiction”. Within this, we highlight the challenges associated with utilising behavioural data but provide some practical solutions which may support researchers and practitioners in this field. These recent developments could, in turn, advance our understanding and potentially validate such concepts by establishing behavioural correlates, conditions and contexts. Indeed, corroborating behavioural metrics alongside self-report measures presents a key opportunity if scholars and practitioners are to move the field forward. Springer US 2018-01-03 2018 /pmc/articles/PMC5814548/ /pubmed/29491773 http://dx.doi.org/10.1007/s11469-017-9855-7 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Commentary Ellis, David A. Kaye, Linda K. Wilcockson, Thomas D.W. Ryding, Francesca C. Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) |
title | Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) |
title_full | Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) |
title_fullStr | Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) |
title_full_unstemmed | Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) |
title_short | Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) |
title_sort | digital traces of behaviour within addiction: response to griffiths (2017) |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814548/ https://www.ncbi.nlm.nih.gov/pubmed/29491773 http://dx.doi.org/10.1007/s11469-017-9855-7 |
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