Výsledky vyhledávání - "Ying, Jiangbo"

Akademický článek

Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study

Autor: Zhang, Melvyn, Ying, Jiangbo, Amron, Syidda B, Mahreen, Zaakira, Song, Guo, Fung, Daniel SS, Smith, Helen E

Publikováno v: JMIR mHealth and uHealth, Vol 7, Iss 11, p e16325 (2019)

BackgroundAdvances in experimental psychology have led to a better understanding of unconscious, automatic processes that result in individuals relapsing into their substance-using habits. While some reviews have demonstrated the effectiveness of bia

Externí odkaz: https://doaj.org/article/a147461dcf1a4b5da91e31730559e692

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Akademický článek

A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study

Autor: Zhang, Melvyn, Ying, Jiangbo, Amron, Syidda B, Mahreen, Zaakira, Song, Guo, Fung, Daniel S S, Smith, Helen Elizabeth

Publikováno v: JMIR mHealth and uHealth, Vol 7, Iss 9, p e15465 (2019)

BackgroundConventional psychology therapies are unable to address automatic biases that result in individuals relapsing into their substance use disorder. Advances in experimental psychology have led to a better understanding of attention and approac

Externí odkaz: https://doaj.org/article/bef22e9320cd41e193419fd9d6b4ff0d

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Akademický článek

Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps

Autor: Zhang, Melvyn, Ying, JiangBo, Song, Guo, Fung, Daniel SS, Smith, Helen

Publikováno v: JMIR mHealth and uHealth, Vol 6, Iss 5, p e10034 (2018)

BackgroundAutomatic processes, such as attentional biases or interpretative biases, have been purported to be responsible for several psychiatric disorders. Recent reviews have highlighted that cognitive biases may be modifiable. Advances in eHealth

Externí odkaz: https://doaj.org/article/a6289be66ee54895828fc2984ffdfa77

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