This paper is in the following e-collection/theme issue:

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (340) Mobile Health (mhealth) (2230) Smoking Cessation (466) Alcohol Abuse, Alcoholism Prevention and Recovery (259) Social Anxiety Disorder (SAD) (40) Transdiagnostic Mental Health Interventions (112)

Published on in Vol 6 , No 5 (2018) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10034, first published .
Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps

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

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

Authors of this article:

Melvyn Zhang 1 Author Orcid Image ;   JiangBo Ying 1 Author Orcid Image ;   Guo Song 1 Author Orcid Image ;   Daniel SS Fung 2 Author Orcid Image ;   Helen Smith 3 Author Orcid Image
Article Authors Cited by (31) Tweetations (8) Metrics

Journals

  1. Fernandez-Luque L, Labarta J, Palmer E, Koledova E. Content Analysis of Apps for Growth Monitoring and Growth Hormone Treatment: Systematic Search in the Android App Store. JMIR mHealth and uHealth 2020;8(2):e16208 View
  2. Zhang M, Ying J, Song G, Fung D, Smith H. Gamified Cognitive Bias Modification Interventions for Psychiatric Disorders: Review. JMIR Mental Health 2018;5(4):e11640 View
  3. Zhang M, Ying J, Song G, Fung D, Smith H. Web-Based Cognitive Bias Modification Interventions for Psychiatric Disorders: Scoping Review. JMIR Mental Health 2019;6(10):e11841 View
  4. Li H, Lewis C, Chi H, Singleton G, Williams N. Mobile health applications for mental illnesses: An Asian context. Asian Journal of Psychiatry 2020;54:102209 View
  5. DERİN S, YORULMAZ O. Obsesif Kompulsif Bozuklukta Bilişsel Yanlılık Değişimi. Psikiyatride Güncel Yaklaşımlar 2020;12(3):299 View
  6. Zhang M, Ying J, Amron S, Mahreen Z, Song G, Fung D, Smith H. Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study. JMIR mHealth and uHealth 2019;7(11):e16325 View
  7. Jayasinghe H, Short C, Braunack-Mayer A, Merkin A, Hume C. Evidence Regarding Automatic Processing Computerized Tasks Designed For Health Interventions in Real-World Settings Among Adults: Systematic Scoping Review. Journal of Medical Internet Research 2020;22(7):e17915 View
  8. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
  9. Zhang M, Ying J, Amron S, Mahreen Z, Song G, Fung D, Smith H. A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2019;7(9):e15465 View
  10. Zhang M, Ying J. Incorporating Participatory Action Research in Attention Bias Modification Interventions for Addictive Disorders: Perspectives. International Journal of Environmental Research and Public Health 2019;16(5):822 View
  11. Zhang M, Ying J, Amron S, Mahreen Z, Song G, Fung D, Smith H. A Smartphone Attention Bias Intervention for Individuals With Addictive Disorders: Protocol for a Feasibility Study. JMIR Research Protocols 2018;7(11):e11822 View
  12. Zhang M, Heng S, Song G, Fung D, Smith H. Co-designing a Mobile Gamified Attention Bias Modification Intervention for Substance Use Disorders: Participatory Research Study. JMIR mHealth and uHealth 2019;7(10):e15871 View
  13. Marin-Gomez F, Garcia Cuyas F, Reig-Bolano R, Mendioroz J, Roura-Poch P, Pico-Nicolau M, Vidal-Alaball J. Social Networking App Use Among Primary Health Care Professionals: Web-Based Cross-Sectional Survey. JMIR mHealth and uHealth 2018;6(12):e11147 View
  14. Flors-Sidro J, Househ M, Abd-Alrazaq A, Vidal-Alaball J, Fernandez-Luque L, Sanchez-Bocanegra C. Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps. JMIR Diabetes 2021;6(1):e16146 View
  15. Flaudias V, Zerhouni O, Chakroun-Baggioni N, Pires S, Schmitt A, De Chazeron I, Llorca P, Brousse G. Reducing Attentional Bias in Individuals With Alcohol Use Disorders With a Tablet Application: A Randomized Controlled Trial Pilot Study. Alcohol and Alcoholism 2019 View
  16. Zhang M, Heng S, Song G, Fung D, Smith H. Codesigning a mobile gamified attention bias modification intervention: research protocol. BMJ Open 2019;9(10):e031897 View
  17. Zhang M, Smith H. Challenges When Evaluating Cognitive Bias Modification Interventions for Substance Use Disorder. International Journal of Environmental Research and Public Health 2020;17(21):7821 View
  18. Zhang M, Smith H. Cognitive Bias Modification for Addictive Disorders: Emerging Knowledge and Persistent Gaps. Psychiatry International 2020;1(2):75 View
  19. Zhang M, Heng S, Song G, Fung D, Smith H. Development of a co-designed gamified attention bias modification app for individuals with opioid use disorder. Technology and Health Care 2021;29(3):521 View
  20. Friis-Healy E, Nagy G, Kollins S. It Is Time to REACT: Opportunities for Digital Mental Health Apps to Reduce Mental Health Disparities in Racially and Ethnically Minoritized Groups. JMIR Mental Health 2021;8(1):e25456 View
  21. Zhang M, Chow A, Ho R, Smith H. An Overview of Commercially Available Apps in the Initial Months of the COVID-19 Pandemic. Frontiers in Psychiatry 2021;12 View
  22. Wu X, Du J, Jiang H, Zhao M. Application of Digital Medicine in Addiction. Journal of Shanghai Jiaotong University (Science) 2022;27(2):144 View
  23. Zhang M. Cognitive Biases and Addictive Disorders: A Bibliometric Review. Psychiatry International 2022;3(2):131 View
  24. Warsinsky S, Schmidt-Kraepelin M, Rank S, Thiebes S, Sunyaev A. Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING). Journal of Medical Internet Research 2021;23(9):e30390 View
  25. Machulska A, Rinck M, Klucken T, Kleinke K, Wunder J, Remeniuk O, Margraf J. “Push it!” or “Hold it!”? A comparison of nicotine-avoidance training and nicotine-inhibition training in smokers motivated to quit. Psychopharmacology 2022;239(1):105 View
  26. Hoid D, Pan D, Liao C, Li X. Effects of a Smartphone-Based, Multisession Interpretation-Bias Modification for Anxiety: Positive Intervention Effects and Low Attrition. International Journal of Environmental Research and Public Health 2023;20(3):2270 View
  27. De Witte N, Joris S, Van Assche E, Van Daele T. Technological and Digital Interventions for Mental Health and Wellbeing: An Overview of Systematic Reviews. Frontiers in Digital Health 2021;3 View
  28. Flaudias V, Zerhouni O, Chakroun-Baggioni N, De Chazeron I, Llorca P, Brousse G. Evaluation of a Smartphone Application on the Reduction of Attentional Bias Toward Alcohol Among Students†. Frontiers in Psychology 2022;13 View
  29. Xia H, Li Y, Zhang Q, Zhong D, Liu X, Gou X, Fan J, Zhao J, Zhang Y, Ai S, Huang J, Li J, Jin R. Attention bias modification for depression: A systematic review and meta-analysis. Frontiers in Psychiatry 2023;14 View
  30. Hawes D, Arya A. Technology Solutions to Reduce Anxiety and Increase Cognitive Availability in Students. IEEE Transactions on Learning Technologies 2023;16(2):278 View

Books/Policy Documents

  1. Zhang P, Tang J, Jeong E. Diversity, Divergence, Dialogue. View