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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Journal of Health and Medical Sciences

ISSN 2622-7258

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doi
open access

Published: 18 October 2022

Uses of Artificial Intelligence in Psychology

Seema Irshad, Shabana Azmi, Nurjahan Begum

King Faisal University, Sindho-Kanho-Birsha University

journal of social and political sciences
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doi

10.31014/aior.1994.05.04.242

Pages: 21-30

Keywords: Artificial Intelligence, Mental Health, Expert Systems, Virtual Reality

Abstract

Machine learning has a new landscape for humanity in the area of artificial intelligence (AI). Artificial intelligence (AI) approaches have recently been developed to support mental health professionals, primarily psychiatrists, psychologists, and clinicians, with decision-making based on patients' historical data (e.g., clinical history, behavioral data, social media use, etc.). This article reviews developments in artificial intelligence (AI) technologies and their current and potential applications in clinical psychological practice. Issues associated with AI in the context of clinical practice, the potential risk for job loss among mental health professionals, and other ramifications associated with the advancement of AI technology are discussed. The advancement of AI technologies and their application in psychological practice have important implications that can be expected to transform the mental health care field. Psychologists and other mental health care professionals have an essential part to play in the development, evaluation, and ethical use of AI technologies.

References

  1. Afonso, L. C. S., Rosa, G. H., Pereira, C. R., Weber, S. A. T., Hook, C., Albuquerque, V. H. C., Papa, J. P. (2019). “A recurrence plot-based approach for Parkinson's disease identification.” Future Generation Computer Systems, 94:282-292.

  2. Andrews G., Cuijpers P., Craske M.G., McEvoy P., Titov N. (2010). Computer therapy for anxiety and depressive disorders is effective, acceptable, and practical health care: a meta-analysis. PLoS One. 13;5(10):e13196. DOI: 10.1371/journal.pone.0013196. PMID: 20967242; PMCID: PMC2954140.

  3. Billieux, J., Van der Linden, M., Achab, S., Khazaal, Y., Paraskevopoulos, L. Zullino, D. et al. (2013). “Why do you play World of Warcraft? An in-depth exploration of self-reported motivations to play online and in-game behaviors in the virtual world of Azeroth.” Comput Hum Behav.  29:103–9. doi: 10.1016/j.chb.2012.07.021

  4. Bindoff, I., Stafford, A., Peterson, G., Kang, B. H., & Tenni, P. (2012). The potential for intelligent decision support systems to improve the quality and consistency of medication reviews. Journal of Clinical Pharmacy and Therapeutics, 37, 452– 458. doi:10.1111/j.1365-2710.2011. 01327.x

  5. Cave, S., Dihal, K. (2019). Hopes and fears for intelligent machines in fiction and reality. Nature Machine Intelligence. 1, 74–78.

  6. Choi, J. Medalia, A. (2005).  “Factors associated with a positive response to cognitive remediation in a community psychiatric sample.” Psychiatr Serv. 56:602–4.10.1176/appi.ps.56.5.602

  7. Coyle, D., Matthews, M., Sharry, J., Nisbet, A., & Doherty, G. (2005). Personal investigator: A therapeutic 3D game for adolescent psychotherapy. Interactive Technology and Smart Education, 2, 73– 88. doi:10.1108/17415650580000034

  8. Eack, S. M., Greenwald, D. P., Hogarty, S. S., Cooley, S. J., DiBarry, A. L., Montrose D. M. et al. (2009). Cognitive enhancement therapy for early-course schizophrenia: effects of a two-year randomized controlled trial. Psychiatr Serv.  60:1468–76. 10.1176/ps.2009.60.11.1468

  9. Fast, E., Horvitz, E. (2017). Long-term trends in the public perception of artificial intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 31, 963–969. https://ojs.aaai.org/index.php/AAAI/article/view/10635

  10. Fernald, L. D. (2008). “Psychology: Six perspectives” (pp.12–15). Thousand Oaks, CA: Sage Publications.

  11. Fujita, H., & Wu, I. C. (2012). A special issue on artificial intelligence in computer games: AICG. Knowledge-Based Systems, 34, 1–2. DOI: 10.1016/j.knosys.2012.05.014

  12. Glozier, N., Christensen, H., Naismith, S., Cockayne, N., Donkin, L., Neal, B. et al. (2019). “Internet-Delivered Cognitive Behavioural Therapy for Adults with Mild to Moderate Depression and High Cardiovascular Disease Risks: A Randomised Attention-Controlled Trial.” PLoS ONE 8(3): e59139. https://doi.org/10.1371/journal.pone.0059139

  13. Goldberg, J. F., Roy Chengappa, K. N. (2009). “Identifying and treating cognitive impairment in bipolar disorder,” Bipolar Disord,11:123–37. 10.1111/j.1399-5618.2009. 00716.x

  14. Green, M. F., Kern, R. S., Heaton, R. K.  (2004). “Longitudinal studies of cognition and functional outcome in schizophrenia: Implications for MATRICS,” Schizophr Res, 72:41–51.

  15. Hakamata, Y., Lissek, S., Bar-Haim, Y., Britton, J. C., Fox, N. A., Leibenluft, E. et.al. (2010).  Attention bias modification treatment: a meta-analysis toward the establishment of novel treatment for anxiety. Biol Psychiatr. 68:982–90. 10.1016/j.biopsych.2010.07.021

  16. Heeren, A., Mogoașe, C., Philippot, P., McNally, R. J. (2015). “Attention bias modification for social anxiety: a systematic review and meta-analysis.” Clinical Psychol Rev.  40:76–90. 10.1016/j.cpr.2015.06.001

  17. Hockenbury & Hockenbury (2010). Psychology. Worth Publishers.

  18. Hogarty, G. E., Flesher, S., Ulrich, R., Carter, M., Greenwald, D., Pogue-Geile M. et al. (2004). Cognitive enhancement therapy for schizophrenia: effects of a 2-year randomized trial on cognition and behavior. Arch Gen Psychiatr, 61:866–76.

  19. Jang, H. J., Kim, M. S. (2011). The effect of computerized attention training on the improvement of cognitive functions in patients with schizophrenia. Korean J Clin Psychol. 30:803–23. 10.15842/kjcp.2011.30.3.010

  20. Khazaal, Y., Chatton, A., Prezzemolo, R., Zebouni, F., Edel, Y., Jacquet, J. et al. (2013). Impact of a board-game approach on current smokers: a randomized controlled trial. Subst Abuse Treat Prev Policy. 8:3. doi: 10.1186/1747-597X-8-31747-597X-8-3

  21. Kim, J. H., Kim, M. S. (2016). The effect of visuospatial rehabilitation on the visuospatial function and attention in patients with schizophrenia. Korean J Clin Psychol.  35:843–57. 10.15842/kjcp.2016.35.4.012

  22. Kurtz, M. M. (2016). Cognitive remediation for psychological disorders. Cogn Remediat Improv Funct Outcomes. 1–12.

  23. Lichtenthaler, U. (2020). Extremes of acceptance: Employee attitudes toward artificial intelligence. Journal of Business Strategy, 41, 39–45.

  24. Linden Research, Inc. (2013). Second Life (Version 1.3.2). Retrieved fromhttp://secondlife.com/

  25. Luxton, D. D. (2014). Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice, 45(5), 332–339.

  26. MacLeod C, Rutherford E, Campbell L, Ebsworthy G, Holker L. (2002). Selective attention and emotional vulnerability: assessing the causal basis of their association through the experimental manipulation of attentional bias. J Abnorm Psychol.111(1):107-23. PMID: 11866165.

  27. Masri R. Y., Mat Jani H. (2012). Employing artificial intelligence techniques in Mental Health Diagnostic Expert System. In ICCIS: International Conference on Computer & Information Science (Vol. 1, pp. 495– 499). New York, NY: IEEE.

  28. Matlin, M.W. (1999). Cognition (4th ed.), Harcourt Brace College Publishers, NY, USA.

  29. Matthews, M., & Coyle, D. (2010). The role of gaming in mental health. The use of technology in mental health: Applications, ethics and practice (Vol. 40, pp. 134 –142).

  30. McGurk, S. R., Twamley, E. W., Sitzer, D. I., McHugo, G. J., Mueser, K. T. (2007). A meta-analysis of cognitive remediation in schizophrenia. Am J Psychiatr. 164:1791–802. 10.1176/appi.ajp.2007.07060906

  31. Millan, M. J., Agid, Y., Brüne, M., Bullmore, E. T., Carter, C. S., Clayton N. S. et al. (2012). “Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy.” Nat Rev Drug Discov.11:141. 10.1038/nrd3628

  32. Naam, R. (2010). More than human: Embracing the promise of biological enhancement. New York, NY: Broadway Books.

  33. Naim, R., Kivity, Y. Bar-Haim, Y., Huppert, J. D. (2018). Attention and interpretation bias modification treatment for social anxiety disorder: A randomized clinical trial of efficacy and synergy. J Behav Ther Exp Psychiatry. 59:19–30. 10.1016/j.jbtep.2017.10.006

  34. Ormrod, J.E. (1998). Human learning, (3rd ed.), Prentice-Hall Inc.

  35. Rothbaum B. O., Hodges L., Anderson P. L., Price L., Smith S. (2002). Twelve-month follow-up of virtual reality and standard exposure therapies for the fear of flying. J Consult Clin Psychol.70(2):428-32. doi: 10.1037//0022-006x.70.2.428. PMID: 11952201.

  36. Rothbaum, B. O. (2009). Using virtual reality to help our patients in the real world. Depression and Anxiety, 26 (3), 209–211. https://doi.org/10.1002/da.20556

  37. Rubinstein, M. F. Firstenberg, I. R. (1995). Patterns of problem-solving, Prentice Hall, Englewood, NJ, USA.

  38. Russell, S., Norvig, P. (2009). Artificial Intelligence: A Modern Approach, 3rd Edn. Saddle River, NJ: Prentice Hall

  39. Thase, M. E., Wright, J. H., Eells, T. D., Barrett, M. S., Wisniewski, S. R., Balasubramani, G. K. et al. (2018). Improving the efficiency of psychotherapy for depression: computer-assisted versus standard cbt. Am J Psychiatry. 175(3):242–250. https://doi.org/10.1176/appi.ajp.2017.17010089

  40. Wang, Y. (2002). The real-time process algebra (RTPA). Annals of Software Engineering: An International Journal, 14 (2002), pp. 235-274.

  41. Wang, Y., Ruhe, G. (2007). The cognitive process of decision making. International Journal of Cognitive Informatics and Natural Intelligence, 1 (2), pp. 73-85.

  42. Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., &Vaughan, T. M. (2002). Brain-computer interfaces for communication and control. Clinical Neurophysiology, 113, 767–791. doi:10.1016/S1388-2457(02)00057-3.

  43. Wright J. H., Mishkind M., Eells T. D., Chan S. R. (2019). Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety. Curr Psychiatry Rep. 27;21(7):62. DOI: 10.1007/s11920-019-1031-2. PMID: 31250242.

  44. Wykes, T., Huddy, V., Cellard, C., McGurk, S. R., Czobor, P. (2011). A meta-analysis of cognitive remediation for schizophrenia: methodology and effect sizes. Am J Psychiatr. 168:472–85. 10.1176/appi.ajp.2010.10060855

  45. Zanetta Dauriat, F., Zermatten, A., Billieux, J., Thorens, G., Bondolfi, G., Zullino, D. et al. (2011). “Motivations to play specifically predict excessive involvement in massively multiplayer online role-playing games: evidence from an online survey.” Eur Addict Res., 17:185–9. doi: 10.1159/000326070000326070

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