2015
DOI: 10.1080/14459795.2015.1049191
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Assessing the effectiveness of a responsible gambling behavioural feedback tool for reducing the gambling expenditure of at-risk players

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Cited by 98 publications
(38 citation statements)
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References 30 publications
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“…Activity (summary or transaction) statements enable customers to track their gambling spend by showing their wins, losses, withdrawals, deposits, and current balance. Research suggests that gamblers have positive views towards receiving activity statements, that these are among the most popular of all consumer protection tools, and they appear to be effective in reducing time and money spent gambling (Auer & Griffiths, 2016;Gainsbury, Parke, & Suhonen, 2013;R. T. A.…”
Section: The Present Studymentioning
confidence: 99%
“…Activity (summary or transaction) statements enable customers to track their gambling spend by showing their wins, losses, withdrawals, deposits, and current balance. Research suggests that gamblers have positive views towards receiving activity statements, that these are among the most popular of all consumer protection tools, and they appear to be effective in reducing time and money spent gambling (Auer & Griffiths, 2016;Gainsbury, Parke, & Suhonen, 2013;R. T. A.…”
Section: The Present Studymentioning
confidence: 99%
“…Prior to data analysis, all players in the final sample were classified according to their PlayScan gambling risk status. PlayScan is a player-tracking tool which classifies players into one of three risk groups (Bgreen,^Byellow,^and Bred^) according to their actual playing behavior where red indicates that the player is at high risk of problem gambling, yellow indicates the player is at medium risk of problem gambling, and green indicates the player is at low risk of problem gambling (Griffiths et al 2009;Forsström et al 2016;Wood and Wohl 2015). The survey included questions relating to whether players had heard about the new global loss limits, their attitudes towards limit setting, whether they found the global limits personally relevant, how thoroughly they thought about the limits they set themselves, the most important reasons for setting the limits, and whether they gambled elsewhere if they reached their loss limits.…”
Section: Methodsmentioning
confidence: 99%
“…However, the study did not analyze changes in behavior as a consequence of using the tool. Wood and Wohl (2015) obtained data from 779 Svenska Spel online players who received behavioral feedback using PlayScan . Feedback to players took the form of a ‘traffic-light’ risk rating that was created via a proprietary algorithm (red = problematic gambling, yellow = at-risk gambling, and green = no gambling issues).…”
Section: Introductionmentioning
confidence: 99%