The case for using personally relevant and emotionally stimulating gambling messages as a gambling harm-minimisation strategy

Harris, A. ORCID: 0000-0001-9627-4900, Parke, A. and Griffiths, M.D. ORCID: 0000-0001-8880-6524, 2018. The case for using personally relevant and emotionally stimulating gambling messages as a gambling harm-minimisation strategy. International Journal of Mental Health and Addiction, 16 (2), pp. 266-275. ISSN 1557-1874

[img]
Preview
Text
PubSub6180_Griffiths.pdf - Published version

Download (362kB) | Preview

Abstract

Emotions typically exert powerful, enduring, and often predictable influences over decision-making. However, emotion-based decision-making is seen as a mediator of impulsive and reckless gambling behaviour, where emotion may be seen as the antithesis of controlled and rational decision-making, a proposition supported by recent neuroimaging evidence. The present paper argues that the same emotional mechanisms can be used to influence a gambler to cease gambling, by focusing their emotional decision-making on positive external and personally relevant factors, such as familial impact or longer term financial factors. Emotionally stimulating messages may also have the advantage of capturing attention above and beyond traditionally responsible gambling messaging. This is important given the highly emotionally aroused states often experienced by both gamblers and problem gamblers, where attentional activation thresholds for external stimuli such as messages may be increased.

Item Type: Journal article
Publication Title: International Journal of Mental Health and Addiction
Creators: Harris, A., Parke, A. and Griffiths, M.D.
Publisher: Springer
Date: April 2018
Volume: 16
Number: 2
ISSN: 1557-1874
Identifiers:
NumberType
10.1007/s11469-016-9698-7DOI
Divisions: Schools > School of Social Sciences
Record created by: Linda Sullivan
Date Added: 20 Sep 2016 13:20
Last Modified: 01 Aug 2018 15:03
URI: https://irep.ntu.ac.uk/id/eprint/28578

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year