Опубликована: Апрель 23, 2025
Язык: Английский
Emerging Trends in Drugs Addictions and Health, Год журнала: 2025, Номер unknown, С. 100170 - 100170
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Frontiers in Psychology, Год журнала: 2024, Номер 15
Опубликована: Фев. 2, 2024
Background Social intelligence (SI) is of great importance in the success counseling and psychotherapy, whether for psychologist or artificial systems that help psychologist, as it ability to understand feelings, emotions, needs people during process. Therefore, this study aims identify Intelligence represented by its large linguistic models, “ChatGPT; Google Bard; Bing” compared psychologists. Methods A stratified random manner sample 180 students psychology from bachelor’s doctoral stages at King Khalid University was selected, while models included ChatGPT-4, Bard, Bing. They (the psychologists AI models) responded social scale. Results There were significant differences SI between AI’s ChatGPT-4 exceeded 100% all psychologists, Bing outperformed 50% PhD holders 90% holders. The Bard bachelor not significant, whereas with PhDs significant; Where excel on Bird. Conclusion We explored possibility using human measures entities, especially language results indicate development understanding emotions behavior related very rapid. will psychotherapist a deal new ways. be aware possible areas further given their benefits psychotherapy. Studies humanistic non-humanistic criteria are needed.
Язык: Английский
Процитировано
6
Proceedings of the ACM on Human-Computer Interaction, Год журнала: 2024, Номер 8(CSCW1), С. 1 - 28
Опубликована: Апрель 17, 2024
Despite repeated reports of socially inappropriate and dangerous chatbot behaviour, chatbots are increasingly used as mental health services in providing support for young people. In sensitive settings such, the notion perceived moral agency (PMA) is crucial, given its critical role human-human interactions. this paper, we investigate PMA human-chatbot Specifically, seek to understand how influence perception trust, likeability, safety across two distinct age groups. We conduct an online experiment(N = 279)to evaluate with low high targeted towards teenagers adults. Our results indicate increased displaying PMA. A qualitative analysis revealed four themes, assessing participants' expectations general, well teenagers: Anthropomorphism, Warmth, Sensitivity, Appearance manifestation. show that plays a crucial influencing perceptions provide recommendations designing appropriate chatbots.
Язык: Английский
Процитировано
6
Journal of Contemporary Psychotherapy, Год журнала: 2024, Номер 54(3), С. 209 - 215
Опубликована: Апрель 9, 2024
Abstract There is a mental health crisis in the United States that shows no signs of abating. Prevalence rates disorders among both adults and children are rising there simply not enough professionals to meet growing demand. To address this problem, digital programs being designed diagnose treat conditions either adjunctively human clinician or as stand-alone treatments. Such developments hold great promise ameliorating professional supply shortage. However, certain limitations may prevent many users from desiring psychotherapist. This paper surveys promise, limitations, psychotherapies.
Язык: Английский
Процитировано
5
Behaviour and Information Technology, Год журнала: 2023, Номер unknown, С. 1 - 41
Опубликована: Ноя. 27, 2023
This study presents a systematic literature search and narrative meta-review of the current state research on conversational agents (CAs), including embodied CAs, chatbots, social assistive robots (SARs). The investigation identifies 1,830 academic articles, which 315 articles satisfied inclusion criteria for review. Systematic reviews across various fields are reported, mental disorders, neurodevelopmental dementia/cognitive impairment, other medical conditions, elderly support, health promotion, health, education, industrial applications, agent characteristics, robot characteristics. highlights challenges in CA research, such as scarcity high-quality comparative studies acceptance CAs by users caregivers, particularly support. article also categorises ethical discussions into nine elements: privacy, safety, innovation, user acceptance, psychological attachment, care philosophy, evaluation, systems compatibility, rule development. It offers insights development future guidelines. role fostering human relationships through their function is emphasised to provide guidance subsequent implementation. As advancements technology continue progress, there an increasing demand sophisticated investigations addressing relationships, emotions, self.
Язык: Английский
Процитировано
11
World Journal of Psychiatry, Год журнала: 2024, Номер 14(3), С. 467 - 483
Опубликована: Март 19, 2024
BACKGROUND Depression has gradually become a common psychological disorder among children and adolescents. in adolescents affects their physical mental development. Psychotherapy is considered to be one of the main treatment options for depressed However, our understanding global performance progress interventions depression (PIDCA) research limited. AIM To identify collaborative networks this field explore current status hotspots through bibliometrics. METHODS Articles reviews related PIDCA from January 2010 April 2023 were identified Web Science Core Collection database. The Charticulator website, CiteSpace VOSviewer software used visualize trends publications citations, (countries, institutions, authors), hotspots. RESULTS Until 16, 2023, 1482 identified. number documents published each year citations had increased rapidly field. United States highest productivity most prolific institution was University London. Pim Cuijpers author. In context PIDCA, both reference co-citation analysis keywords co-occurrence 10 hotspots, including third-wave cognitive behavior therapy, short-term psychoanalytic psychotherapy, behavioral system family element modular treatment, mobile-health, emotion-regulation-based transdiagnostic intervention program, dementia risk later life, predictors efficacy intervention, risks intervention. CONCLUSION This bibliometric study provides comprehensive overview present. Psychological characterized as psychological-process-focused, short, family-involved, modular, internet-based, emotion-regulation-based, personalized may benefit more young people.
Язык: Английский
Процитировано
4
World Journal of Psychiatry, Год журнала: 2024, Номер 14(3), С. 334 - 341
Опубликована: Март 19, 2024
The problematic use of social media has numerous negative impacts on individuals' daily lives, interpersonal relationships, physical and mental health, more. Currently, there are few methods tools to alleviate media, their potential is yet be fully realized. Emerging large language models (LLMs) becoming increasingly popular for providing information assistance people being applied in many aspects life. In mitigating use, LLMs such as ChatGPT can play a positive role by serving conversational partners outlets users, personalized resources, monitoring intervening this process, we should recognize both the enormous endless possibilities ChatGPT, leveraging advantages better address while also acknowledging limitations pitfalls technology, errors, issue resolution, privacy security concerns, overreliance. When leverage issues usage, must adopt cautious ethical approach, vigilant adverse effects that may have addressing harness technology serve individuals society.
Язык: Английский
Процитировано
4
medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Май 7, 2024
Abstract Background and Objective Depression is a substantial public health issue, with global ramifications. While initial literature reviews explored the intersection between artificial intelligence (AI) mental health, they have not yet critically assessed specific contributions of Large Language Models (LLMs) in this domain. The objective systematic review was to examine usefulness LLMs diagnosing managing depression, as well investigate their incorporation into clinical practice. Methods This based on thorough search PubMed, Embase, Web Science, Scopus databases for period January 2018 through March 2024. used PROSPERO adhered PRISMA guidelines. Original research articles, preprints, conference papers were included, while non-English non-research publications excluded. Data extraction standardized, risk bias evaluated using ROBINS-I, QUADAS-2, PROBAST tools. Results Our included 34 studies that focused application detecting classifying depression data social media texts. such RoBERTa BERT demonstrated high effectiveness, particularly early detection symptom classification. Nevertheless, integration practice its nascent stage, ongoing concerns about privacy ethical implications. Conclusion exhibit significant potential transforming strategies treating depression. Nonetheless, full requires rigorous testing, considerations, enhanced measures ensure safe effective use. A visual abstract
Язык: Английский
Процитировано
3
Опубликована: Май 23, 2024
We introduce CounseLLMe as a multilingual, multimodal dataset of 400 simulated mental health counselling dialogues between two state-of-the-art Large Language Models (LLMs). These conversations - 20 quips each were generated either in English (using OpenAI's GPT 3.5 and Claude-3's Haiku) or Italian (with Haiku LLaMAntino) with prompts tuned also the help professional psychotherapy. investigate resulting through comparison against human on same topic depression. To compare linguistic features, knowledge structure emotional content LLMs humans, we employed textual forma mentis networks, i.e. cognitive networks where nodes represent concepts links indicate syntactic semantic relationships dialogues' quips. find that LLM-LLM matches one humans terms patient-therapist trust exchanges, 1 5 contain along 10 conversational turns versus $24\%$ rate found humans. ChatGPT Haiku's patients can reproduce feelings conflict pessimism. However, display non-negligible levels anger/frustration is missing LLMs. LLMs' are worse reproducing patterns. All reproduced patterns increased absolutist pronoun usage second-person, trust-inducing, therapists. Our results realistically several aspects thusly release public for novel data-informed opportunities machine psychology.
Язык: Английский
Процитировано
3
Frontiers in Psychology, Год журнала: 2024, Номер 15
Опубликована: Авг. 2, 2024
During the war time dysregulation of negative emotions such as fear, anger, hatred, frustration, sadness, humiliation, and hopelessness can overrule normal societal values, culture, endanger global peace security, mental health in affected societies. Therefore, it is understandable that range power may play important roles consideration human behavior any armed conflict. The estimation assessment dominant during are crucial but challenged by complexity emotions' neuro-psycho-physiology. Currently available natural language processing (NLP) tools have comprehensive computational methods to analyze understand emotional content related textual data war-inflicted Innovative AI-driven technologies incorporating machine learning, neuro-linguistic programming, cloud infrastructure, novel digital therapeutic applications present an immense potential enhance care worldwide. This advancement could make services more cost-effective readily accessible. Due inadequate number psychiatrists limited psychiatric resources coping with consequences traumas, new wearable devices supported AI means might be promising approach psychiatry future. Transformation maps undertaken simultaneous combination online cognitive behavioral therapy (CBT) on individual level, well usage emotionally based strategic communications (EBSC) a public level. proposed positive transformation CBT EBSC provide leverage efforts protect civil population AI-based applied design stimuli, like Open Chat GPT or Google Gemini great significantly understanding semantic linguistic analysis text datasets war-traumatized society. Human loop enhanced aid development annotated messages resonate among targeted population, amplifying impact shaping into EBCS.
Язык: Английский
Процитировано
3