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认知失调、个性化反馈与在线赌博行为:一项使用客观跟踪数据和主观自我报告的探索性研究

Cognitive Dissonance, Personalized Feedback, and Online Gambling Behavior: An Exploratory Study Using Objective Tracking Data and Subjective Self-Report.

作者信息

Auer Michael, Griffiths Mark D

机构信息

neccton Ltd., Office 404 Albany House, 324 Regent Street, London, W1B 3HH UK.

2International Gaming Research Unit, Psychology Department, Nottingham Trent University, 50 Shakespeare Street, Nottingham, NG1 4FQ UK.

出版信息

Int J Ment Health Addict. 2018;16(3):631-641. doi: 10.1007/s11469-017-9808-1. Epub 2017 Sep 20.

Abstract

Providing personalized feedback about the amount of money that gamblers have actually spent may-in some cases-result in cognitive dissonance due to the mismatch between what gamblers actually spent and what they thought they had spent. In the present study, the participant sample ( = 11,829) was drawn from a Norwegian population that had played at least one game for money in the past six months on the online gambling website. Players were told that they could retrieve personalized information about the amount of money they had lost over the previous 6-month period. Out of the 11,829 players, 4045 players accessed information about their personal gambling expenditure and were asked whether they thought the amount they lost was (i) more than expected, (ii) about as much as expected, or (iii) less than expected. It was hypothesized that players who claimed that the amount of money lost gambling was more than they had expected were more likely to experience a state of cognitive dissonance and would attempt to reduce their gambling expenditure more than other players who claimed that the amount of money lost was as much as they expected. The overall results contradicted the hypothesis because players without any cognitive dissonance decreased their gambling expenditure more than players experiencing cognitive dissonance. However, a more detailed analysis of the data supported the hypothesis because specific playing patterns of six different types of gambler using a machine-learning tree algorithm explained the paradoxical overall result.

摘要

提供有关赌徒实际支出金额的个性化反馈,在某些情况下,可能会因赌徒实际支出与他们认为自己支出的金额之间的不匹配而导致认知失调。在本研究中,参与者样本(N = 11,829)来自挪威人群,他们在过去六个月内在在线赌博网站上至少玩过一次金钱游戏。玩家被告知他们可以检索有关他们在过去6个月内输钱金额的个性化信息。在11,829名玩家中,有4045名玩家访问了有关他们个人赌博支出的信息,并被问及他们是否认为自己输掉的金额(i)比预期多,(ii)与预期差不多,或(iii)比预期少。据推测,那些声称赌博输钱金额比预期多的玩家比那些声称输钱金额与预期相同的其他玩家更有可能经历认知失调状态,并会试图减少他们的赌博支出。总体结果与该假设相矛盾,因为没有任何认知失调的玩家比经历认知失调的玩家减少了更多的赌博支出。然而,对数据的更详细分析支持了该假设,因为使用机器学习树算法对六种不同类型赌徒的特定游戏模式解释了这一矛盾的总体结果。

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