Future Interdisciplinary Combination of AI Technologies and Psychology
The paper aims to address several interdisciplinary and multidisciplinary research issues at the confluence of psychology with the field of artificial intelligence technologies, namely how the integration of big data analytics, advancements in human-computer interaction (HCI), and innovations in brain-computer interfaces (BCIs), can transform psychological research and practice. The paper explores the historical foundations and contemporary developments in the interdisciplinary integration of AI technologies with psychological research and practice. Beginning with early computational models of cognition, the discussion highlights the evolution of AI applications in psychological analysis, including machine learning, natural language processing (NLP), HCI and BCIs. These technologies have not only enhanced the scalability and personalization of mental health care but have also introduced new methods for real-time feedback in therapeutic settings. This paper provides a wide examination of how these interdisciplinary efforts can complement and advance both fields, encouragement mutual development and innovation.
Article’s history:
Received 1st of September, 2023; Received in revised form 20th of September, 2023; Accepted 21st of October, 2023; Published as article in Volume I, Issue 1, 2023.
Copyright© 2023. The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
Keywords: artificial intelligence, big data, brain-computer interface, human computer interaction.
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