An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews

JMIR mhealth and uhealth, Journal Year: 2023, Volume and Issue: 11, P. e44838 - e44838

Published: April 21, 2023

Chatbots are an emerging technology that show potential for mental health care apps to enable effective and practical evidence-based therapies. As this is still relatively new, little known about recently developed their characteristics effectiveness.In study, we aimed provide overview of the commercially available popular chatbots how they perceived by users.We conducted exploratory observation 10 offer support treatment a variety concerns with built-in chatbot feature qualitatively analyzed 3621 consumer reviews from Google Play Store 2624 Apple App Store.We found although chatbots' personalized, humanlike interactions were positively received users, improper responses assumptions personalities users led loss interest. always accessible convenient, can become overly attached them prefer over interacting friends family. Furthermore, may crisis whenever user needs it because its 24/7 availability, but even lack understanding properly identifying crisis. considered in study fostered judgment-free environment helped feel more comfortable sharing sensitive information.Our findings suggest have great social psychological situations where real-world human interaction, such as connecting or family members seeking professional support, not preferred possible achieve. However, there several restrictions limitations these must establish according level service offer. Too much reliance on pose risks, isolation insufficient assistance during times Recommendations customization balanced persuasion inform design been outlined based insights our findings.

Language: Английский

---

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e56930 - e56930

Published: April 12, 2024

Background Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various care needs. However, no comprehensive synthesis of chatbots’ roles, users, benefits, limitations is available inform future research application the field. Objective This review aims describe characteristics, focusing on their diverse roles pathway, user groups, limitations. Methods A rapid published literature from 2017 2023 was performed with a search strategy developed collaboration sciences librarian implemented MEDLINE Embase databases. Primary studies reporting chatbot benefits were included. Two reviewers dual-screened results. Extracted data subjected content analysis. Results The categorized into 2 themes: delivery remote services, including patient support, management, education, skills building, behavior promotion, provision administrative assistance providers. User groups spanned across patients chronic conditions well cancer; individuals focused lifestyle improvements; demographic such women, families, older adults. Professionals students also alongside seeking mental behavioral change, educational enhancement. chatbots classified improvement quality efficiency cost-effectiveness delivery. identified encompassed ethical challenges, medicolegal safety concerns, technical difficulties, experience issues, societal economic impacts. Conclusions Health offer wide spectrum applications, potentially impacting aspects care. While they promising for improving quality, integration system must be approached consideration ensure optimal, safe, equitable use.

Language: Английский

---

I am attracted to my Cool Smart Assistant! Analyzing Attachment-Aversion in AI-Human Relationships

Journal of Business Research, Journal Year: 2023, Volume and Issue: 161, P. 113863 - 113863

Published: March 21, 2023

The conversation between humans and Artificial Intelligence (AI)-enabled intelligent voice assistants (IVA) can create bonds that go beyond a mere utilitarian purpose. emotional cues in Human-AI lead consumers to feel connected with the AI-agents even consider such relationship as cool. Although brand coolness is known affect consumer behavior, little about how perceive close IVAs what drivers of their use or avoidance are. Therefore, current paper adds literature by analyzing AI-enabled assistant experience affects IVA customer-brand relationships using attachment-aversion (A-A) theory. A total 308 showed affective, behavioral, intellectual experiences coolness. was also found A-A positively, influencing consumers' motivational strength adopt, maintain enhance future.

Language: Английский

---

Putting AI to the test

OECD education spotlights, Journal Year: 2023, Volume and Issue: unknown

Published: July 13, 2023

Advancements in artificial intelligence (AI) are laying the groundwork for extensive and rapid transformations society. Understanding relationship between AI capabilities human skills is essential to ensure policy responsiveness ongoing incoming changes. The OECD has tracked how well systems fare on tasks from Programme International Student Assessment (PISA), comparing performance that of 15-year-old students test’s core domains reading, mathematics science. Tests were conducted using Generative Pre-Trained Transformer (GPT) family large language models (LLMs), behind ChatGPT, which took world by storm after its public release late 2022. Results show both GPT versions outperform average student reading In addition, we observe advances where quickly catching up with those students. November 2022, GPT-3.5 could answer 35% a set PISA tasks, level significantly below humans, who 51% successfully average. However, March 2023, GPT-4 answered 40% successfully. Policy implications these results discussed this paper.

Language: Английский

---

The Opportunities and Risks of Large Language Models in Mental Health

JMIR Mental Health, Journal Year: 2024, Volume and Issue: 11, P. e59479 - e59479

Published: July 29, 2024

Abstract Global rates of mental health concerns are rising, and there is increasing realization that existing models care will not adequately expand to meet the demand. With emergence large language (LLMs) has come great optimism regarding their promise create novel, large-scale solutions support health. Despite nascence, LLMs have already been applied health–related tasks. In this paper, we summarize extant literature on efforts use provide education, assessment, intervention highlight key opportunities for positive impact in each area. We then risks associated with LLMs’ application encourage adoption strategies mitigate these risks. The urgent need must be balanced responsible development, testing, deployment LLMs. It especially critical ensure fine-tuned health, enhance equity, adhere ethical standards people, including those lived experience concerns, involved all stages from development through deployment. Prioritizing minimize potential harms maximize likelihood positively globally.

Language: Английский

---

The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses

Published: May 11, 2024

Generative Artificial Intelligence (AI) is integrated into everyday technology, including news, education, and social media. AI has further pervaded private conversations as conversational partners, auto-completion, response suggestions. As media becomes young people's main method of peer support exchange, we need to understand when how can facilitate assist in such exchanges a beneficial, safe, socially appropriate way. We asked 622 people complete an online survey evaluate blinded human- AI-generated responses help-seeking messages. found that participants preferred the situations about relationships, self-expression, physical health. However, addressing sensitive topic, like suicidal thoughts, human response. also discuss role training exchange its implications for supporting well-being. Disclaimer: This paper includes topics, suicide ideation. Reader discretion advised.

Language: Английский

---

Does the Digital Therapeutic Alliance Exist?: An Integrative Review (Preprint)

JMIR Mental Health, Journal Year: 2025, Volume and Issue: 12, P. e69294 - e69294

Published: Jan. 17, 2025

Abstract Background Mental health disorders significantly impact global populations, prompting the rise of digital mental interventions, such as artificial intelligence (AI)-powered chatbots, to address gaps in access care. This review explores potential for a “digital therapeutic alliance (DTA),” emphasizing empathy, engagement, and alignment with traditional principles enhance user outcomes. Objective The primary objective this was identify key concepts underlying DTA AI-driven psychotherapeutic interventions health. secondary propose an initial definition based on these identified concepts. Methods PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) scoping reviews Tavares de Souza’s integrative methodology were followed, encompassing systematic literature searches Medline, Web Science, PsycNet, Google Scholar. Data from eligible studies extracted analyzed using Horvath et al’s conceptual framework alliance, focusing goal alignment, task agreement, bond, quality assessed Newcastle-Ottawa Scale Cochrane Risk Bias Tool. Results A total 28 pool 1294 articles after excluding duplicates ineligible studies. These informed development DTA, elements facilitators barriers affecting primarily focused AI-powered psychotherapy, other tools. Conclusions findings provide foundational concept report its replicate mechanisms trust, collaboration While shows promise enhancing accessibility engagement care, further research innovation are needed challenges personalization, ethical concerns, long-term impact.

Language: Английский

---

Development of an intelligent hospital information chatbot and evaluation of its system usability

Enterprise Information Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Language: Английский

---

Promoting Cognitive Health in Elder Care with Large Language Model-Powered Socially Assistive Robots

Published: April 24, 2025

Language: Английский

---

Supporting the Demand on Mental Health Services with AI-Based Conversational Large Language Models (LLMs)

BioMedInformatics, Journal Year: 2023, Volume and Issue: 4(1), P. 8 - 33

Published: Dec. 22, 2023

The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which heightened need timely and professional mental health support. Online emerged as predominant mode providing services response to this demand. In study, we propose Psy-LLM framework, an AI-based assistive tool leveraging large language models (LLMs) question answering consultation settings ease on professions. Our framework combines pre-trained LLMs real-world questions-and-answers (Q&A) from psychologists extensively crawled articles. serves a front-end healthcare professionals, allowing them provide immediate responses mindfulness activities alleviate patient stress. Additionally, it functions screening identify urgent cases requiring further assistance. We evaluated using intrinsic metrics, such perplexity, extrinsic evaluation including human participant assessments helpfulness, fluency, relevance, logic. results demonstrate effectiveness generating coherent relevant answers questions. This article discusses potential limitations enhance support through AI technologies.

Language: Английский

---