Human-Computer Interaction and Artificial Intelligence: Advancing Care Through Extended Mind Theory

Chris Jacobs, Hans Johnson, Tim Rennie, Jeffrey Lambert, Richard Joiner

Research output: Contribution to journalEditorialpeer-review

Abstract

Artificial intelligence (AI) and mixed reality (MR), within human-computer interaction (HCI), are rapidly redefining areas of healthcare by introducing new approaches to patient care and clinical education. This editorial explores how these technologies, through Extended Mind Theory, enhance mental health treatment and medical training. AI-powered virtual therapists, using natural language processing and predictive analytics, provide accessible, personalized mental health support, allowing for remote and immersive therapy. In MR environments, patients with anxiety, post-traumatic stress disorder (PTSD), or phobias can safely engage in therapeutic exercises, confronting fears in controlled, virtual settings. In clinical education, AI and MR deliver adaptive, immersive training tools that respond to individual needs, enabling repeated practice in a risk-free environment. These tools improve skills and build confidence by simulating high-stakes scenarios like emergency response, with HCI principles ensuring user-friendly and experiential learning. Ethical considerations, including data security and transparency, are essential as these tools integrate into healthcare. This blend of AI, MR, and HCI redefines healthcare boundaries, extending cognitive and emotional support into virtual spaces, enhancing both patient care and clinical training.

Original languageEnglish
Article numbere74968
JournalCureus
Volume16
Issue number12
Early online date2 Dec 2024
DOIs
Publication statusPublished - 2 Dec 2024

Bibliographical note

Copyright © 2024, Jacobs et al.

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