Journal of Systems and Software, Journal Year: 2025, Volume and Issue: unknown, P. 112470 - 112470
Published: April 1, 2025
Language: Английский
Interactive Technology and Smart Education, Journal Year: 2023, Volume and Issue: 21(2), P. 189 - 213
Published: March 27, 2023
Purpose The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing rarely take a perspective to evaluate contexts. This study aims bridge research gap by taking review literature on chatbots. Design/methodology/approach combines bibliometric analysis and citation network analysis: through visualization keyword, authors, organizations countries based clustering. Findings Educational applications are still rising post-COVID-19 learning environments. Popular issues this topic include technological advancements, students’ perception effectiveness different Originating from similar theoretical foundations, primarily applied language education, services (such as information counseling automated grading), health-care education medical training. Diversifying contexts demonstrate specific purposes using but confronted with some common challenges. Multi-faceted factors can influence acceptance education. provides extended framework facilitate extending chatbot Research limitations/implications authors have acknowledge that subjected limitations. First, search was core collection Web Science, which did not studies. Second, only included published English. Third, due limitation expertise, could comprehensively interpret implications reporting advancements. intended establish significance summarizing evaluating perspective. Originality/value identifies publication trends It bridges caused previous neglection treating interconnected whole characteristics. major encouraged further applications. also proposes consider covers three critical components integration when future researchers instructors apply new
Language: Английский
Citations
55
Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 117 - 117
Published: Jan. 23, 2025
Artificial intelligence (AI) chatbots have been widely adopted in customer service, playing a crucial role improving service efficiency, enhancing user experience, and elevating satisfaction levels. Current research on the impact of consumers’ purchase decisions primarily focuses linguistic communication features, with limited exploration into non-verbal social cues employed by chatbots. By conducting three scenario-based experiments, this study investigates mechanisms through which chatbot response strategies (proactive vs. reactive) use emojis (yes no) influence users’ intention. The findings suggest that proactive are more effective strengthening intention compared to reactive strategies. Psychological distance performance expectancy serve as significant mediators relationship. Additionally, moderates effect psychological distance, while its moderating is not significant. This offers new insights chatbots, revealing underlying contributing evidence visual symbols factors. Furthermore, provide practical recommendations for businesses optimizing interaction enhance experience.
Language: Английский
Citations
2
JMIR Medical Education, Journal Year: 2023, Volume and Issue: 9, P. e50658 - e50658
Published: Dec. 22, 2023
Background ChatGPT is a well-known large language model–based chatbot. It could be used in the medical field many aspects. However, some physicians are still unfamiliar with and concerned about its benefits risks. Objective We aim to evaluate perception of students toward using field. Methods A web-based questionnaire was sent students, interns, residents, attending staff questions regarding their clinical practice education. Participants were also asked rate ChatGPT’s generated response knee osteoarthritis. Results included 124 46 37 32 staff. After reading response, 132 239 (55.2%) participants had positive rating for practice. The proportion answers significantly lower graduated (48/115, 42%) compared (84/124, 68%; P<.001). listed lack patient-specific treatment plan, updated evidence, barrier as pitfalls. Regarding education, responses graduate (71/115, 62%) (103/124, 83.1%; that too superficial, might scientific need expert verification. Conclusions Medical generally guiding whereas doctors more cautious this regard. Nonetheless, both positively perceived creating patient educational materials.
Language: Английский
Citations
35
Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e46761 - e46761
Published: May 26, 2023
Digital technologies may improve sexual and reproductive health (SRH) across diverse settings. Chatbots are computer programs designed to simulate human conversation, there is a growing interest in the potential for chatbots provide responsive accurate information, counseling, linkages products services, or companion on an SRH journey.This review aimed identify assumptions about value of collate evidence support them.We used realist approach that starts with initial program theory generates causal explanations form context, mechanism, outcome configurations test develop theory. We generated our theory, drawing expertise research team, then searched literature add depth this evidence.The supports which suggests promising intervention information service delivery. This because offer anonymous nonjudgmental interactions encourage disclosure personal complex conversational tone increases understanding, link conversations within web-based offline social networks, immediate provision 24/7 by automating some tasks, long-term relationships users who return over time. However, be less valuable where people find any conversation (even chatbot) stigmatizing, those lack confidential access digital devices, do not feel natural, developed as stand-alone interventions without reference contexts.Chatbots could further automate simple tasks They should prioritize achieving authentic tone, facilitate content sharing relationship building their users, integrated into wider networks.
Language: Английский
Citations
25
International Journal of Medical Informatics, Journal Year: 2024, Volume and Issue: 185, P. 105385 - 105385
Published: Feb. 24, 2024
Conversational agents (CAs) offer a sustainable approach to deliver personalized interventions and improve health outcomes.
Language: Английский
Citations
9
Youth, Journal Year: 2025, Volume and Issue: 5(1), P. 15 - 15
Published: Feb. 6, 2025
Every adolescent should have the right to make their own choices about sexual and reproductive health (SRH). Achieving this goal can be challenging, especially in low- middle-income countries (LMICs), where social norms insufficient resources may limit access information. Technology is increasingly being leveraged LMICs reach adolescents. We searched literature understand landscape of digital SRH interventions LMICs. The review addressed three questions: (1) What are how effective they? (2) preferences for information? And (3) do cost? There a wide variety populations (e.g., adolescents with HIV, pregnant/post-partum adolescents) locations interventions, majority sub-Saharan Africa. types were evenly distributed between “push” approaches, sent information; “pull” information from website or app; “two-way” which combine push pull aspects. most positive features identified convenience privacy. major challenge inadequate smartphone penetration very low-income adolescents, girls. evidence on effectiveness these mixed. Most studies show that knowledge increases, but does not necessarily lead behavior change.
Language: Английский
Citations
1
Sexual Medicine Reviews, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Abstract Introduction Artificial Intelligence (AI) has witnessed significant growth in the field of medicine, leveraging machine learning, artificial neuron networks, and large language models. These technologies are effective disease diagnosis, education, prevention, while raising ethical concerns potential challenges. However, their utility sexual medicine remains relatively unexplored. Objective We aim to provide a comprehensive summary status AI medicine. Methods A search was conducted using MeSH keywords, including "artificial intelligence," "sexual medicine," health," "machine learning." Two investigators screened articles for eligibility within PubMed MEDLINE databases, with conflicts resolved by third reviewer. Articles English that reported on health were included. total 69 full-text systematically analyzed based predefined inclusion criteria. Data extraction included information article characteristics, study design, assessment methods, outcomes. Results The initial yielded 905 relevant Upon assessing full texts 121 eligibility, 52 studies unrelated excluded, resulting systematic review. analysis revealed AI's accuracy preventing, diagnosing, decision-making sexually transmitted diseases. also demonstrated ability diagnose offer precise treatment plans male female dysfunction infertility, accurately predict sex from bone teeth imaging, correctly orientation relationship issues. emerged as promising modality implications future Conclusions Further research is essential unlock presents advantages such accessibility, user-friendliness, confidentiality, preferred source information. it still lags human healthcare providers terms compassion clinical expertise.
Language: Английский
Citations
1
Current Urology Reports, Journal Year: 2023, Volume and Issue: 25(1), P. 9 - 18
Published: Sept. 19, 2023
Abstract Purpose of Review Artificial intelligence (AI) chatbots have emerged as a potential tool to transform urology by improving patient care and physician efficiency. With an emphasis on their advantages drawbacks, this literature review offers thorough assessment the state AI-driven in today. Recent Findings The capacity give patients individualized timely medical advice is one its key advantages. Chatbots can help prioritize symptoms best course treatment. By automating administrative duties offering clinical decision support, also healthcare providers. Before are widely used urology, there few issues that need be resolved. precision chatbot diagnoses recommendations might impacted technical constraints like system errors flaws. Additionally, regarding security privacy data must resolved, adhere all applicable laws. Important addressed include accuracy dependability because any mistakes or inaccuracies could seriously harm patients. final obstacle resistance from professionals who hesitant use new technology value in-person encounters. Summary significantly improve However, it essential thoroughly test ensure chatbots, address concerns, design user-friendly integrate into existing workflows. exploring various scenarios examining current literature, provides analysis prospects limitations implementing urology.
Language: Английский
Citations
22
Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e52091 - e52091
Published: Oct. 18, 2023
Background Despite recent significant strides toward acceptance, inclusion, and equality, members of the lesbian, gay, bisexual, transgender, queer (LGBTQ) community still face alarming mental health disparities, being almost 3 times more likely to experience depression, anxiety, suicidal thoughts than their heterosexual counterparts. These unique psychological challenges are due discrimination, stigmatization, identity-related struggles can potentially benefit from generative conversational artificial intelligence (AI). As latest advancement in AI, agents chatbots imitate human conversation support health, fostering diversity inclusivity, combating stigma, countering discrimination. In contrast, if not properly designed, they perpetuate exclusion inequities. Objective This study aims examine impact AI on LGBTQ community. Methods was designed as a scoping review. Four electronic scholarly databases (Scopus, Embase, Web Science, MEDLINE via PubMed) gray literature (Google Scholar) were consulted inception without any language restrictions. Original studies focusing or counselors working with this exposed AI-enhanced internet-based platforms exploring feasibility, effectiveness tools deemed eligible. The findings reported accordance PRISMA-ScR (Preferred Reporting Items for Systematic Reviews Meta-Analyses extension Scoping Reviews). Results Seven applications (HIVST-Chatbot, TelePrEP Navigator, Amanda Selfie, Crisis Contact Simulator, REALbot, Tough Talks, Queer AI) included reviewed. assistants identified served various purposes: (1) identify individuals at risk suicide contracting HIV other sexually transmitted infections, (2) provide resources youth underserved areas, (3) facilitate status disclosure sex partners, (4) develop training role-play personas encompassing diverse experiences intersecting identities educate counselors. use is its early stages. Initial have found that deploying feasible well received, high ratings usability user satisfaction. However, there room improvement terms content provided making conversations engaging interactive. Many these used small sample sizes short-term interventions measuring limited outcomes. Conclusions Generative holds promise, but further development formal evaluation needed, including larger samples, longer interventions, randomized trials compare different content, delivery methods, dissemination platforms. addition, focus engagement behavioral objectives essential advance field. broad practical implications, highlighting AI’s spans aspects people’s lives. Assessing communities adopting diversity-aware intersectional approaches help shape positive society whole.
Language: Английский
Citations
16
Clinical Chemistry, Journal Year: 2023, Volume and Issue: 69(11), P. 1238 - 1246
Published: Sept. 4, 2023
Artificial intelligence (AI) conversational agents, or chatbots, are computer programs designed to simulate human conversations using natural language processing. They offer diverse functions and applications across an expanding range of healthcare domains. However, their roles in laboratory medicine remain unclear, as accuracy, repeatability, ability interpret complex data have yet be rigorously evaluated.This review provides overview the history two major chatbot development approaches, respective advantages limitations. We discuss capabilities potential chatbots healthcare, focusing on field. Recent evaluations performance presented, with a special emphasis large models such Chat Generative Pre-trained Transformer response questions different categories, medical knowledge, operations, regulations, interpretation results related clinical context. analyze causes chatbots' limitations suggest research directions for developing more accurate, reliable, manageable medicine.Chatbots, which rapidly evolving AI applications, hold tremendous improve education, provide timely responses inquiries concerning tests, assist interpreting results, facilitate communication among patients, physicians, laboratorians. Nevertheless, users should vigilant existing limitations, misinformation, inconsistencies, lack human-like reasoning abilities. To effectively used medicine, must undergo extensive training validated knowledge thoroughly evaluated against standard practice.
Language: Английский
Citations
15