Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support

Published: April 24, 2025

Social anxiety (SA) has become increasingly prevalent. Traditional coping strategies often face accessibility challenges. Generative AI (GenAI), known for their knowledgeable and conversational capabilities, are emerging as alternative tools mental well-being. With the increased integration of GenAI, it is important to examine individuals' attitudes trust in GenAI chatbots' support SA. Through a mixed-method approach that involved surveys (n = 159) interviews 17), we found individuals with severe symptoms tended embrace chatbots more readily, valuing non-judgmental perceived emotional comprehension. However, those milder prioritized technical reliability. We identified factors influencing trust, such ability generate empathetic responses its context-sensitive limitations, which were particularly among also discuss design implications use fostering cognitive practical considerations.

Language: Английский

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The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis

Frontiers in Digital Health, Journal Year: 2025, Volume and Issue: 7

Published: Feb. 4, 2025

Introduction Externalization techniques are well established in psychotherapy approaches, including narrative therapy and cognitive behavioral therapy. These methods elicit internal experiences such as emotions make them tangible through external representations. Recent advances generative artificial intelligence (GenAI), specifically large language models (LLMs), present new possibilities for therapeutic interventions; however, their integration into core practices remains largely unexplored. This study aimed to examine the clinical, ethical, theoretical implications of integrating GenAI space a proof-of-concept (POC) AI-driven externalization techniques, while emphasizing essential role human therapist. Methods To this end, we developed two customized GPTs agents: VIVI (visual externalization), which uses DALL-E 3 create images reflecting patients' (e.g., depression or hope), DIVI (dialogic role-play-based simulates conversations with aspects content. tools were implemented evaluated clinical case under professional psychological guidance. Results The demonstrated that can serve an “artificial third”, creating Winnicottian playful enhances, rather than supplants, dyadic therapist-patient relationship. successfully externalized complex dynamics, offering avenues, also revealing challenges empathic failures cultural biases. Discussion findings highlight both promise ethical complexities AI-enhanced therapy, concerns about data security, representation accuracy, balance authority. address these challenges, propose SAFE-AI protocol, clinicians structured guidelines responsible AI Future research should systematically evaluate generalizability, efficacy, across diverse populations contexts.

Language: Английский

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The Next Frontier in Mindreading? Assessing Generative Artificial Intelligence (GAI)’s Social-Cognitive Capabilities using Dynamic Audiovisual Stimuli

Published: Jan. 1, 2025

Language: Английский

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Art psychotherapy meets creative AI: an integrative review positioning the role of creative AI in art therapy process

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: March 20, 2025

Background The rise of artificial intelligence (AI) is promising novel contributions to treatment and prevention mental ill health. While research on the use conversational embodied AI in psychotherapy practice developing rapidly, it leaves gaps understanding impact that creative might have art specifically. A constructive dialogue between disciplines needed, establish potential relevance AI-bases technologies therapeutic involving artmaking self-expression. Methods This integrative review set out explore whether how could enhance other psychological interventions utilizing visual communication and/or artmaking. transdisciplinary search strategy was developed capture latest across diverse methodologies stages development, including reviews, opinion papers, prototype development empirical studies. Findings Of over 550 records screened, 10 papers were included this review. Their key characteristics are mapped a matrix stakeholder groups involved, elements belonging therapy domain, types AI-based involved. Themes significance for AT discussed, cultural adaptability, inclusivity accessibility, creativity self-expression, unpredictability imperfection. positioning diagram proposed describe role AT. AI’s process oscillates spectrum from being partner co-creative taking curator personalized visuals with intent. Another dimension indicates level autonomy – supportive tool an autonomous agent. Examples each these situations identified reviewed literature. Conclusion brings opportunities new modes self-expression extended reach therapy, over-reliance presents risks process, loss agency clients therapists. Implications technology relationship demand further investigation, as do its impacts, before can be confirmed.

Language: Английский

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AI in Healthcare Safeguarding Patient Privacy and Confidentiality

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 369 - 404

Published: Feb. 14, 2025

In the era of digitization, Artificial Intelligence (AI) integration in healthcare has become a necessity to ensure patient identification & privacy. With rise digitalisation health systems, it also increasingly important have more stringent data protection requirements. This transformation is heavily facilitated by AI-driven technologies that reinforce security, identify real-time threats and streamline compliance with regulations. By utilizing Machine Learning (ML) algorithms comb through big data, outliers can be pinpointed filtered out so unauthorized access prevented assistance advanced forms encryption which protect information while transit or at rest. But fast pace AI development creates as many opportunities challenges, especially when comes marrying availability These ethical concerns, for effective regulatory frameworks, are critical an evolving ecosystem technologies.

Language: Английский

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When and How to Integrate Multimodal Large Language Models in College Psychotherapy: Feedback from Psychotherapists in China

Published: April 23, 2025

Language: Английский

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“Do You Need the Sage's Tea or the Friend's Cola” Exploring the Differential Healing Effects of Generative AI Conversational Styles

Published: April 23, 2025

Language: Английский

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Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Artificial intelligence (AI) technologies in mental healthcare offer promising opportunities to reduce therapists’ burden and enhance delivery, yet adoption remains challenging. This study identified key facilitators barriers AI healthcare, precisely psychotherapy, by conducting six online focus groups with patients therapists, using a semi-structured guide based on the NASSS (Nonadoption, Abandonment, Scale-up, Spread, Sustainability) framework. Data from N = 32 participants were analyzed combined deductive inductive thematic analysis. Across seven domains, 36 categories emerged. Sixteen as factors facilitating adoption, including useful technology elements, customization user needs, cost coverage. Eleven perceived encompassing lack of human contact, resource constraints, dependency. Further nine, such therapeutic approach institutional differences, acted both depending context. Our findings highlight complexity emphasize importance addressing early development technologies.

Language: Английский

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Electroencephalogram (EEG) AI-Based Analysis of Brain Activity

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 123 - 150

Published: May 13, 2025

The study of brain activity has always fascinated researchers, clinicians, and innovators alike. Electroencephalography (EEG), as a widely-used non-invasive technique, plays critical role in capturing analyzing electrical patterns the brain. It historically provided invaluable insights into neurological disorders, cognitive functions, overall health. However, traditional methods EEG analysis have often faced limitations precision, scalability, speed. emergence Artificial Intelligence (AI) revolutionized this field, enabling more advanced data interpretation uncovering that were previously inaccessible. This chapter delves intersection AI, exploring transformative impact AI-driven healthcare, neuroscience, brain-computer interfaces (BCIs). provides structured exploration foundational principles, recent advancements, practical applications, future opportunities, while addressing challenges inherent integrating these two disciplines.

Language: Английский

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The Next Frontier in Mindreading? Assessing Generative Artificial Intelligence (GAI)’s Social-Cognitive Capabilities using Dynamic Audiovisual Stimuli

Computers in Human Behavior Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100702 - 100702

Published: May 1, 2025

Language: Английский

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