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1
المؤلفون: Sonia Valladares-Rodriguez, Moisés R. Pacheco-Lorenzo, Manuel J. Fernández-Iglesias, Luis E. Anido-Rifón
المصدر: Journal of Biomedical Informatics. 113:103632
مصطلحات موضوعية: 0303 health sciences, Computer science, Communication, Mental Disorders, Applied psychology, Reproducibility of Results, Health Informatics, CINAHL, Cochrane Library, computer.software_genre, Field (computer science), Computer Science Applications, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Criterion validity, Humans, Relevance (information retrieval), 030212 general & internal medicine, Dialog system, Neurocognitive, computer, Software, Reliability (statistics), 030304 developmental biology
الوصف: Objective: To determine whether smart conversational agents can be used for detection of neuropsychiatric disorders. Therefore, we reviewed the technologies used, targeted mental disorders and validation procedures of relevant proposals in this field. Methods: We searched Scopus, PubMed, Pro-Quest, IEEE Xplore, Web of Science, CINAHL and the Cochrane Library using a predefined search strategy. Studies were included if they focused on neuropsychiatric disorders and involved conversational data for detection and diagnosis. They were assessed for eligibility by independent reviewers and ultimately included if a consensus was reached about their relevance. Results: 2356 references were initially retrieved. Eventually, 17 articles – referring 9 smart conversational agents – met the inclusion criteria. Out of the selected studies, 7 are targeted at neurocognitive disorders, 7 at depression and 3 at other conditions. They apply diverse technological solutions and analysis techniques (82.4% use Artificial Intelligence), and they usually rely on gold standard tests for criterion validity assessment. Acceptability, reliability and other aspects of validity were rarely addressed. Conclusion: The use of smart conversational agents for the detection of neuropsychiatric disorders is an emerging and promising field of research, with a broad coverage of mental disorders and extended use of AI. However, the few published studies did not undergo robust psychometric validation processes. Future research in this field would benefit from more rigorous validation mechanisms and standardized software and hardware platforms.
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2
المؤلفون: Julia Hoxha, Chunhua Weng, Praveen Chandar, David A. Hanauer, Zhe He, James J. Cimino
المصدر: Journal of Biomedical Informatics. 59:89-101
مصطلحات موضوعية: Scheme (programming language), Biomedical Research, Computer science, media_common.quotation_subject, Semantic interpretation, Health Informatics, computer.software_genre, Article, Dialog act, 03 medical and health sciences, 0302 clinical medicine, Electronic Health Records, Humans, Conversation, 030212 general & internal medicine, Dialog system, Dialog box, media_common, computer.programming_language, Information retrieval, business.industry, 030503 health policy & services, Communication, Human–human conversation analysis, Computer Science Applications, Data access, Mediation, Dialog annotation scheme, Dialog act modeling, Artificial intelligence, 0305 other medical science, business, computer, Clinical research query mediation dialog, Natural language processing
الوصف: Clinical data access involves complex but opaque communication between medical researchers and query analysts. Understanding such communication is indispensable for designing intelligent human–machine dialog systems that automate query formulation. This study investigates email communication and proposes a novel scheme for classifying dialog acts in clinical research query mediation. We analyzed 315 email messages exchanged in the communication for 20 data requests obtained from three institutions. The messages were segmented into 1333 utterance units. Through a rigorous process, we developed a classification scheme and applied it for dialog act annotation of the extracted utterances. Evaluation results with high inter-annotator agreement demonstrate the reliability of this scheme. This dataset is used to contribute preliminary understanding of dialog acts distribution and conversation flow in this dialog space.
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3
المؤلفون: Daiana Biduski, Ana Carolina Bertoletti De Marchi, Cristiane da Silva Rodrigues de Araújo, Adriano Pasqualotti, Ericles Andrei Bellei, Mateus Klein Roman
المصدر: Journal of Biomedical Informatics. 107:103461
مصطلحات موضوعية: Process (engineering), Interface (Java), Internet privacy, Blood Donors, Health Informatics, computer.software_genre, Chatbot, 03 medical and health sciences, 0302 clinical medicine, User experience design, Humans, 030212 general & internal medicine, Dialog system, Association (psychology), 030304 developmental biology, 0303 health sciences, business.industry, Communication, Computer Science Applications, Outreach, Blood donor, Multimedia, Psychology, business, computer, Brazil
الوصف: Background People have insufficient knowledge and many misconceptions about the blood donation process, which hampers donors recruitment. Therefore, novel strategies and resources are needed to provide information and improve these circumstances. Objective We aimed at an interactive conversational agent to explain about blood donation. Methods We used the Dialogflow framework to develop a conversational agent and deployed it publicly. Afterward, we conducted an assessment of user experience (UX) with 50 participants who interacted with the agent. We analyzed participants’ opinions, the different UX scales, and their association with participants’ demographic variables. Results The conversational agent is available on the Google Assistant platform in Brazil. It is capable of responding to utterances related to 30 common questions and concerns about donating blood. The user can interact and explore freely and in any order by typing, speaking and selecting interface elements. The agent responds by speaking and displaying visual information, some multimedia content, and suggestions for continuing the dialogue. It enables a conversational sequence in which knowledge is imparted to the user in stages as the dialogue evolves. The overall UX assessed was very satisfactory, and people with specific demographic characteristics were more likely to have better UX. All participants had positive opinions and attitudes towards the conversational agent. Conclusions A conversational agent is a creative and captivating strategy of imparting knowledge and engage people regarding blood donation. The findings reaffirm the potential of using this technology for information outreach, especially for socially relevant purposes.
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4
المؤلفون: Toni Giorgino, Timothy Bickmore
المصدر: Journal of Biomedical Informatics
مصطلحات موضوعية: Knowledge management, Computer science, Health Informatics, Dialog system, computer.software_genre, Computing Methodologies, Field (computer science), Patient Education as Topic, Humans, Dialog box, business.industry, Natural language processing, Communication, Reproducibility of Results, Consumer informatics, Computer Science Applications, Clinical trial, Behavioral informatics, Work (electrical), Health education, business, computer, Medical Informatics, Strengths and weaknesses, Natural language
الوصف: There is a growing need for automated systems that can interview patients and consumers about their health and provide health education and behavior change interventions using natural language dialog. A number of these health dialog systems have been developed over the last two decades, many of which have been formally evaluated in clinical trials and shown to be effective. This article provides an overview of the theories, technologies and methodologies that are used in the construction and evaluation of these systems, along with a description of many of the systems developed and tested to date. The strengths and weaknesses of these approaches are also discussed, and the needs for future work in the field are delineated.
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5
المؤلفون: Valeria Carofiglio, Nicole Novielli, Berardina De Carolis, Addolorata Cavalluzzi, Fiorella de Rosis
المصدر: Journal of Biomedical Informatics
مصطلحات موضوعية: Computer science, Information Storage and Retrieval, Health Informatics, Health Promotion, Embodied conversational agents, computer.software_genre, User-Computer Interface, Human–computer interaction, Artificial Intelligence, Humans, Dialog box, Dialog system, Adaptation (computer science), Parsing, business.industry, User modeling, Communication, Bayesian network, Computer Science Applications, Embodied agent, Bayesian networks, Wizard of Oz studies, Embodied cognition, User and agent modeling, Healthy eating dialog, Artificial intelligence, business, computer, Natural language processing
الوصف: In this paper, we describe our experience with the design and implementation of an embodied conversational agent (ECA) that converses with users to change their dietary behavior. Our intent is to develop a system that dynamically models the agent and the user and adapts the agent’s counseling dialog accordingly. Towards this end, we discuss our efforts to automatically determine the user’s dietary behavior stage of change and attitude towards the agent on the basis of unconstrained typed text dialog, first with another person and then with an ECA controlled by an experimenter in a wizard of Oz study. We describe how the results of these studies have been incorporated into an algorithm that combines the results from simple parsing rules together with contextual features using a Bayesian network to determine user stage and attitude automatically.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4794c31de5b92f06f9b09f6e88970ca1
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