Artificial Intelligence and Clinical Psychology, Current Trends
Abstract
Psychotherapy endows a sense of control in patients gripped with emotional conflicts which allow them to handle their reflexes and regain composure through conscious and behavioral alterations. These transformational changes can be brought about by improving their listening skills, observational capacities, creating awareness, making them more attentive and intervening. Specialised tools and techniques are employed through the course of therapy which not only alters but also accentuates their cognitive and effective understanding. The idea of amalgamating these two broad ambits: the complexities of psychology and dynamism of artificial intelligence has gained momentum in recent times. This review focuses on how machine intelligence through computer-implemented psychotherapeutic tools can enhance self-awareness through computer-implemented psychotherapeutic tools can enhance self-awareness.
Full Text:
PDFReferences
Acampora G., Loia V., Nappi M., Ricciardi S. (2007). Human-Based Models for Ambient Intelligence Environments published in Xuan F. Zha (Ed.), Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications IdEA Group publishing, Singapore, pp. 1-18. https://doi.org/10.4018/978-1-59904-249-7.ch001
Alivisatos, A. P., Chun, M., Church, G. M., Greenspan, R. J., Roukes, M. L., & Yuste, R. (2012). The brain activity map project and the challenge of functional connectomics. Neuron, 74 (6), 970 –974. https://doi.org/10.1016/j.neuron.2012.06.006
Anderson, M., Anderson, S. L. (2011). Machine ethics. New York, NY: Cambridge University Press. https://doi.org/10.1017/CBO9780511978036
Ashcroft, M. (1997). Human Memory and Cognition. Prentice Hall Professional.
Asimov, I. (1942). Runaround: Astounding science fiction. New York, NY: Street and Smith Publications, Inc.
Asimov, I. (1985). Robots and Empire. New York, NY: Doubleday.
Banks, G. (1986). Artificial intelligence in medical diagnosis: the INTERNIST/CADUCEUS approach. Critical reviews in medical informatics, 1(1), 23–54.
Banziger T., Grandjean D., and Scherer K. R. (2009). Emotion Recognition from Expressions in Face, Voice, and Body: The Multimodal Emotion Recognition Test (MERT). Emotion, 9 (5), 691-704. https://doi.org/10.1037/a0017088
Bartneck, C., Lyons, M. J., Saerbeck, M. (2008). The relationship between emotion models and artificial intelligence. Proceedings of the Workshop on the Role of Emotions in Adaptive Behaviour and Cognitive Robotics in affiliation with the 10th International Conference on Simu-lation of Adaptive Behavior: From animals to animates (SAB 2008). Osaka, Japan.
Bickmore T. W. (2003). Relational Agents: ffecting Change through Human-Computer Relationships, Doctor of Philosophy thesis at the Massachusetts Institute of Technology.
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. https://doi.org/10.1111/j.1365-2710.2011.01327.x
Brynjolfsson, E., McAfee, A. (2011). Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy. Cambridge, MA: MIT Sloan School of Management.
Cohn J. F. & Sayette M. A. (2010). Spontaneous facial expression in a small group can be automatically measured: An initial demonstration. Behavior Research Methods, 42(4), 1079–1086. https://doi.org/10.3758/BRM.42.4.1079
Coyle, D., Matthews, M., Sharry J, Nisbet, A. Doherty, G. (2005). Personal Investigator: A therapeutic 3D, game for adolescent psychotherapy. Journal of Interactive Technology & Smart Education, 2(2), 73-88. https://doi.org/10.1108/17415650580000034
Czeran, E. (2011), Regăsirea informatiilor din retele de socializare - M.Sc. thesis, “Gheorghe Asachi” Technical University of Iasi, Romania
Damasio A. (1994). Descarte's error: Emotion, reason, and the human brain. New York: Gosset/Putnam.
Davis, M, Whalen, PJ. (2001). The amygdala: vigilance and emotion. Molecular Psychiatry, 6, 13-34. https://doi.org/10.1038/sj.mp.4000812
DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., and Gray, J. R. (2010). Testing predictions from personality neuroscience. Psychological Science, 21(6), 820-828. https://doi.org/10.1177/0956797610370159
Eichenbaum, H. (2002). The cognitive neuroscience of memory. New York: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195141740.001.0001
Erdman H.P., Klein M. H., and Greist J. H. (1985). Direct Patient Computer Interviewing. Journal of Consulting and Clinical Psychology, 53 (6), 760-773. https://doi.org/10.1037/0022-006X.53.6.760
Frost, B. (2008). Computer and Technology Enhanced Hypnotherapy and Psychotherapy. A review of current and emerging technologies. http://www.neuroinnovations.com/ctep/technology_and_computer_enhanced_psychotherapy.html
Hance, E. (1976). Computer-Based Medical Consultations. MYCIN. New York: Elsevier.
Jonassen D. H. & Wang S. (2003). Using expert systems to build cognitive simulations. Journal of Educational Computing Research, 28 (1), 1-13. https://doi.org/10.2190/TTGM-5TWG-3P1F-GG9D
Klein J.T. (1999). Computer Response to User Frustration, MIT Media, Laboratory Vision and Modeling Group Technical Report TR#480. https://doi.org/10.1145/632863.632866
Kowalski, G. (2011). Information Retrieval Architecture and Algorithms, Ashburn, VA, USA, Springer Science + Business Media. https://doi.org/10.1007/978-1-4419-7716-8_8
Levine, P., (1997). Walking the Tiger: Healing Trauma. North Atlantic Books, Berkeley, CA
Lin D, Pantel P. (2001). DIRT - Discovery of Inference Rules from Text, Proceedings of the seventh ACM SIGKDD international conference on knowledge discovery and data mining, pp. 323-328, ACM, New York. https://doi.org/10.1145/502512.502559
Major N., Ainsworth S., Wood D. (1997). REDEEM: Exploiting Symbiosis Between Psychology and Authoring Environments. International Journal of Artificial Intelligence in Education, 8, 317-340
Marks M., Cavanagh K. and Gega L. I. (2007). Computer-aided psychotherapy: revolution or bubble? British Journal of Psychiatry, 191, 471-473. https://doi.org/10.1192/bjp.bp.107.041152
Marsella, S. & Gratch J. (2002). A Step Towards Irrationality: Using Emotion to Change Belief. 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy. https://doi.org/10.1145/544741.544821
Mc Cune B., Tong R. M., Dean J.S., Shapiro D. G., Rubric (1985). A System for Rule-Based Information Retrieval, Ieee Transactions on Software engineering, 11 (9), 939-945. https://doi.org/10.1109/TSE.1985.232827
McCrone, Paul, Marks, Isaac M., Mataix-Cols, David, Kenwright, Mark and McDonough, Michael (2009). Computer-Aided Self-Exposure Therapy for Phobia/Panic Disorder: A Pilot Economic Evaluation, Cognitive Behaviour Therapy, 38 (2), 91-99. https://doi.org/10.1080/16506070802561074
Palacios A. M., Sánchez L., Couso I., (2010). Diagnosis of dyslexia with low quality data with genetic fuzzy systems, International Journal of Approximate Reasoning, 51, 993-1009. https://doi.org/10.1016/j.ijar.2010.07.008
Paulraj, M P, Sazali, Yaacob, Hariharan. (2009). Diagnosis of Voice Disorders using Mel Scaled WPT and Functional Link Neural Network, Biomedical Soft Computing and Human Sciences, 14(2), 55-60.
Petcu D. (2006). A Parallel Rule-based System and Its Experimental Usage in Membrane Computing Scalable Computing. Practice and Experience, 7(3), 39-49.
Rialle V., Stip E., O'connor K., (1994). Computer mediated psychotherapy ethical issues and difficulties in implementation. Humane medicine, 10 (3), 185-192.
Riva G., (2005). Virtual Reality in Psychotherapy: Review. Cyberpsychology & Behavior, 8 (3), 220-230. https://doi.org/10.1089/cpb.2005.8.220
Saenz-Lechon N. et al. (2006). Methodological issues in the development of automatic systems for voice pathology detection. Biomedical Signal Processing and Control, 1(2), 120-128. https://doi.org/10.1016/j.bspc.2006.06.003
Saggion H., Stein-Sparvieri E., Maldavsky D., Szasz S. (2010). NLP Resources for the Analysis of Patient/Therapist Interviews, LREC 2010 conference proceedings.
Schipor O. A., Pentiuc St. Gh., Schipor D. M. (2008), A Fuzzy Rules Base for Computer Based Speech Therapy, proceedings of 9th International Conference on Development and Application Systems, Suceava, Romania, May 22-24, 305-308
Seong-in K., Hyun-Jung R., Jun-Oh H., M. Seong-Hak K. (2006). An expert system approach to art psychotherapy. The Arts in Psychotherapy, 33, 59-75. https://doi.org/10.1016/j.aip.2005.07.004
Shaw M. L. G. and Gaines B. R. (2005). Expertise and expert systems: emulating psychological processes. Knowledge Science Institute, University of Calgary.
Tahan, M. (2018). Artificial Intelligence applications and psychology. Avicenna Journal of Neuropsychophysiology, 5(2): 1-13. http://dx.doi.org/10.32598/ajnpp.4.3.210
Urbani J., Kotoulas, S., Maaseen J., Drost N., Seinstra F., van Harmelen, F. & Bal, H. (2010), WebPIE: a Web-scale Parallel Inference Engine, Submission to the SCALE competition at CCGrid '10. https://doi.org/10.1016/j.websem.2011.05.004
Wikipedia. (2011). Comparison of agent-based modeling software. https://en.wikipedia.org/wiki/Comparison_of_agent-based_modeling_software
Wood S. D., Belar C. D. and Snibbe J. (1998). A Comparison of Computer-Assisted Psychotherapy and Cognitive-Behavioral Therapy in Groups. Journal of Clinical Psychology in Medical Settings, 5 (1), 103-115. https://doi.org/10.1023/A:1026210020906
Xu, Hong Chen, Song-Chun Zhu, and Jiebo Luo Zijian (2008) A Hierarchical Compositional Model for Face Representation and Sketching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30 (6), 955-969. https://doi.org/10.1109/TPAMI.2008.50
Yang, Y., Raine, A. (2009). Prefrontal structural and functional brain imaging findings in antisocial, violent, and psychopathic individuals: a meta-analysis. Psychiatry Research: Neuroimaging, 174 (2), 81–88. https://doi.org/10.1016/j.pscychresns.2009.03.012
Zuell, C., Harkness, J., Hoffmeyer-Zlotnik, J.H.P. (1996). Contributions to the Text Analysis and Computers Conference, September 18-21, 1995, Publisher: Zentrum für Umfragen, Methoden und Analysen (ZUMA), Druck & Kopie Hanel, Germany.
DOI: https://doi.org/10.6092/2612-4033/0110-2184
Refbacks
- There are currently no refbacks.