2020
DOI: 10.1016/j.addbeh.2019.106201
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Automatic detection advantage of problematic Internet users for Wi-Fi signal cues and the moderating effect of negative affect: An event-related potential study

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Cited by 4 publications
(4 citation statements)
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“…Given that late attentional bias in IA was characterized by difficulty disengaging attention away from Internet-related information and sustained attentional allocation to Internet-related information, the results of the present study are consistent with the notion that IA symptoms include a preoccupation with Internet-related activities, thinking about previous Internet activities, and anticipating the next Internet use. The results of the present study are in accord with previously reported findings of an attentional bias for Internet-related information [8][9][10][11][12][13][14] and negative information [17,19] in IA and related conditions. Furthermore, individuals with substance addiction have also been found to exhibit attentional bias for substance-related information [6,45].…”
Section: Discussionsupporting
confidence: 93%
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“…Given that late attentional bias in IA was characterized by difficulty disengaging attention away from Internet-related information and sustained attentional allocation to Internet-related information, the results of the present study are consistent with the notion that IA symptoms include a preoccupation with Internet-related activities, thinking about previous Internet activities, and anticipating the next Internet use. The results of the present study are in accord with previously reported findings of an attentional bias for Internet-related information [8][9][10][11][12][13][14] and negative information [17,19] in IA and related conditions. Furthermore, individuals with substance addiction have also been found to exhibit attentional bias for substance-related information [6,45].…”
Section: Discussionsupporting
confidence: 93%
“…It has been proposed that sustained attentional processing of addiction-related information increases craving, leading to the development of addiction [7]. In IA, attentional bias for network logos [8] and a Wi-Fi logo [9] were observed. Individuals with internet gaming disorder (IGD) were found to exhibit attentional bias for a screen shot of online gaming [10], onlinegaming-related words [11], and images of a computer [12].…”
Section: Introductionmentioning
confidence: 99%
“…In terms of negative affect, Nie et al. (2020) combined the emotional priming paradigm and found that individuals with IGD showed significantly enhanced vMMN to online game cues under negative affect priming compared with neutral affect, whereas healthy individuals showed no difference, indicating a moderating effect of negative affect on the automatic detection bias in IGD. In the context of substance addiction, one study using a dot‐probe task found that negative affect would significantly enhance automatic attentional processing of alcohol‐related cues in individuals addicted to alcohol (Field & Powell, 2007; Field & Quigley, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…It follows that the automatic detection bias of online game features in external cues is a fundamental part of the cognitive neural mechanism of IGD, which plays a very important role in the formation and maintenance of IGD (He et al., 2018; Nie et al., 2020). If interventions focused on this stage can be made, it should be possible to achieve impressive clinical treatment results.…”
Section: Introductionmentioning
confidence: 99%