Dialogue Model Research Articles

The impact of globalization on the art market and national art cultures

The object of the study is the process of globalization, the subject of the study is its impact on the structure of the art market and national artistic cultures. Based on the idea of a dialogical cultural model, which was adhered to by V. Bybler and M. Bakhtin, the author justifies the use of the term "dialogue of cultures" to characterize the processes taking place in the space of the modern art market. Special attention in the study is paid to the analysis of its structural transformations: according to the author, inclusivity, which primarily consists in the decentralization of the internal structure of the art market, is a key characteristic that allows to periodize its development into classical and modern stages. A special contribution of the author of the study is an in-depth analysis of exhibition projects: "Magicians of the Earth" by J.-Y. Martin, as well as "Cities in Motion" by H.-W. Obrist and H. Hanru. It is established how these projects aroused the interest of Western collectors in the exotic and changed the share of representation in the art market of non-European art. The main conclusion is that the process of globalization of the art market acutely poses the problem of deformation of the perception of cultural heritage: the appeal of the Western world to traditional cultures in the forms of cultural and art tourism leads to fragmentation and differentiation of once integral national artistic cultures.

Conversation between a clinical biologist and an artificial intelligence on prostate cancer biomarkers: a critical reading.

Artificial intelligence is increasingly used in the field of medicine as a diagnostic aid, particularly for image analysis and more generally for data processing. Many artificial intelligence-based tools have been specifically developed for clinical biology, but some more general ones can help to improve the dissemination of medical knowledge. To test whether and to what extent an automated conversation tool could answer questions on a clinical biology topic (i.e. prostate cancer biomarkers), we questioned ChatGPT, an artificial intelligence-powered model dedicated to optimize language models for dialogue. Then we analyzed its responses.

DIALOGIC COMMUNICATION IN PSYCHOLOGICAL SUPPORT OF PERSONAL DEVELOPMENT OF CLIENTS

The article discusses the theoretical aspects of dialogic communication implemented in the process of consulting clients, describes its features and the changes being formed. The conducted research will become a basis for the authors’ dialogical model of psychological support of people with personal development traumas.

KRP-DS: A Knowledge Graph-Based Dialogue System with Inference-Aided Prediction.

With the popularity of ChatGPT, there has been increasing attention towards dialogue systems. Researchers are dedicated to designing a knowledgeable model that can engage in conversations like humans. Traditional seq2seq dialogue models often suffer from limited performance and the issue of generating safe responses. In recent years, large-scale pretrained language models have demonstrated their powerful capabilities across various domains. Many studies have leveraged these pretrained models for dialogue tasks to address concerns such as safe response generation. Pretrained models can enhance responses by carrying certain knowledge information after being pre-trained on large-scale data. However, when specific knowledge is required in a particular domain, the model may still generate bland or inappropriate responses, and the interpretability of such models is poor. Therefore, in this paper, we propose the KRP-DS model. We design a knowledge module that incorporates a knowledge graph as external knowledge in the dialogue system. The module utilizes contextual information for path reasoning and guides knowledge prediction. Finally, the predicted knowledge is used to enhance response generation. Experimental results show that our proposed model can effectively improve the quality and diversity of responses while having better interpretability, and outperforms baseline models in both automatic and human evaluations.

Evaluating the impact of skill development for drowning prevention: a relationship-building approach to community engagement

ObjectiveEvaluate the impact of a broadened theoretical and empirical model of community engagement aimed at coastal drowning prevention via relationship building between lifeguards and beachgoers through the delivery of skill...

Exploring the impact of design technique on usability: A case study on designing the eHealth websites using card sorting and interactive dialogue model

AbstractThe design and info‐architecture of the web content contribute significantly to achieving better usability and user experience as well as to adopting a website to its intended end‐users. Although several design techniques exist, choosing a suitable one for designing a particular type of website is difficult and needs further investigation. Thus, the objective of this research is to explore the impact of a design technique on web usability and to find out the best suitable design technique for a particular type of website. To achieve these objectives, two separate websites for providing electronic health services named Citizen Health Service portal were developed using the two mostly used design techniques, namely card sorting and interactive dialogue model (IDM). The usability of both websites was evaluated through a laboratory‐based usability testing approach with 20 participants. The study result showed that the IDM performs better in designing such an information‐intensive website.

L’approccio pastorale dialogico alla luce del Sinodo. The Dialogical Pastoral Approach in the Light of the Synod

The study sheds light on the problem of communication in the Church and proposes a model of dialogical communication based on data analysis. It must be in harmony with the content of speculative theology, but at the same time it must meet the linguistic needs of the present time. Pope Francis, with the Synod, is channeling many changes in the right direction. Empirical analyses of media coverage of representations of the Catholic Church, provide further support for this theme. On the one hand, we have the press in Slovenia, which is saturated with news about the Church, and on the other hand, we have Radio and Television, which are undernourished. Often, the Church is presented along with celebrities, celebrations, politics and charity work. If we take into consideration the dialogical model of communication, these issues can be entry points for better and more qualitative communication.

Натуралистический поворот в современной философии: философия и нейронаука

The development of biology stimulates a naturalistic turn within the framework of philosophy, actualizes the problem of the dialogue between philosophical and scientific knowledge. In modern philosophy there is a tendency to imitate the empirical sciences. An attempt to conceptualize the empirical knowledge accumulated in modern brain sciences finds its expression within the neurophilosophy project. In classical philosophy, there was a skeptical assessment of the idea of a total reduction of the life of consciousness to the forms of motion of matter, which contributed to the preservation of dualism. The basis of modern neurobiology is the idea of the identity of physical and mental processes, the statement according to which information in our brain is encoded by the activity of neurons, neural networks. As a result, on the border of philosophy and science, corresponding ontological and epistemological programs are formed, designed to comprehend the classical philosophies of the opposition on naturalistic grounds. The author proposes an understanding of the naturalistic trend in modern epistemology, a reflection of the problem of the relationship between physical and mental processes on the example of the conceptualization of the achievements of modern neurosciences within the framework of the neurophilosophy project. The paper notes the diversity of interpretations of the concept of “neurophilosophy”, fixes the prerequisites for its occurrence, development problems and features of interpretation. In the definitions of the concept of “neurophilosophy” one can see a specific form of being of philosophy, the philosophy of neurosciences, a variant of biophilosophy, a form of the philosophy of consciousness. The paper highlights the problems that complicate the implementation of the neurophilosophy project: constant rethinking and supplementing the baggage of scientific knowledge about the brain, the lack of a unified theory of neurosciences, an interdisciplinary language, one-sided reductionism. To build neurophilosophy in the language of neuroscience means to liken it to a special scientific discipline. The project of neurophilosophy initiates, but does not offer models of a constructive dialogue between philosophy and neurosciences, reducing philosophical problems to the achievements of special scientific knowledge, which allows us to consider neurophilosophy, at this stage of its development, as a ‘scientific manifesto’, another attempt of science to do without philosophy. Against the background of the active appeal of philosophy to the special sciences, there is a need to build an empirical-ontological approach, which is based on the current achievements of the sciences, and makes it possible to bring empirical knowledge to the level of philosophical generalizations.

"KETIKA SANG PENYAIR BERCERITA HILAL (Nalar Ilmu Falak Muhammadiyah dalam puisi Taufik Ismail “Bulan Apa Betul, Kau Sulit Dilihat”)

This research focuses on Taufik Ismail's poem entitled "Bulan Apa Betul, Kau Sulit Dilihat ". The method used is literature search and the approach used is hermeneutics to interpret the meaning of the texts contained in the poem. The poem explains Taufik Ismail's views on the debate regarding the determination of the beginning of Islamic months in Indonesia. In conveying his views, Taufik uses a dialogue model between a 13-year-old child and the moon. The results of the research through the interpretation of the text in the poem show that there is a Muhammadiyah Falak Science reasoning in Taufik Ismail's view regarding the determination of the beginning of the Islamic month in this poem. This can be seen from some of the characteristics of Muhammadiyah Falak Science, namely the belief in the regularity of the circulation of the sun and moon, where with this regularity one can predict the position of the sun and moon in the future by means of mathematical calculations with the criterion of Wujudul Hilal. Taufik is also of the view that determining the beginning of an Islamic month is a worldly affair where a person based on religion may decide in his own way.

Learning towards Selective Data Augmentation for Dialogue Generation

As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples. However, current data augmentation techniques on the dialog generation task mostly augment all cases in the training dataset without considering the intrinsic attributes between different cases. We argue that not all cases are beneficial for augmentation task, and the cases suitable for augmentation should obey the following two attributes: (1) low-quality (the dialog model cannot generate a high-quality response for the case), (2) representative (the case should represent the property of the whole dataset). Herein, we explore this idea by proposing a Selective Data Augmentation framework (SDA) for the response generation task. SDA employs a dual adversarial network to select the lowest quality and most representative data points for augmentation in one stage. Extensive experiments conducted on two publicly available datasets, i.e., DailyDialog and OpenSubtitles, show that our framework can improve the response generation performance with respect to various metrics

Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract)

Although current Graph Neural Network (GNN) based models achieved good performances in Dialogue Intent Classification (DIC), they leaf the inherent domain-specific knowledge out of consideration, leading to the lack of ability of acquiring fine-grained semantic information. In this paper, we propose a Knowledge-Enhanced Multifactor Graph (KEMG) Model for DIC. We firstly present a knowledge-aware utterance encoder with the help of a domain-specific knowledge graph, fusing token-level and entity-level semantic information, then design a heterogeneous dialogue graph encoder by explicitly modeling several factors that matter to contextual modeling of dialogues. Experiment results show that our proposed method outperforms other GNN-based methods on a dataset collected from a real-world online customer service dialogue system on the e-commerce website, JD.

Debatability as a principle of teacher education: methodological aspects and practical implementation

Introduction. Debatability is considered as a manifestation of dialogism and as one of the conditions for the formation of democratic thinking. The main characteristics of debatability as a principle of teacher education are revealed: realization of the right to formulate one's own professional position and its public discussion; harmonious combination with the main methodological approaches in education; creative and probabilistic character; joint identification of the meanings of pedagogical activity. The preparation of future teachers for the implementation of debatability in the educational process is defined as the modern mission of a professional pedagogical institution. The relationship between the philosophical substantiation of the principle of discussion and its specific implementation in the activities of a teacher of pedagogical disciplines is shown.Materials and Methods. With the use of the theoretical analysis, the properties of the discussion that determine its use in the professional training of future teachers are highlighted. The ideas of students of the pedagogical college about the influence of the role and place of discussion in their professional training were studied and analyzed on the basis of the results of the survey and the products of activity. Also, a conversation was held with fellow teachers about the possibilities of using the discussion. The ranking method made it possible to identify the most effective methods for implementing the principle of discussion in the practice of teaching the academic discipline «Pedagogy».Results. The ideas of future teachers about discussion forms and methods of teaching have been studied. The main methodological methods for implementing the principle of discussion in teacher education are considered. The risks and limits of the application of the discussion are substantiated. The development of debatable forms and methods of teaching is considered as a condition for stimulating professional self-development. Potential directions for improving the professional training of future teachers for mastering the discussion are identified, including the expansion of the use of discussion by students in the course of teaching practice.Discussion and Conclusions. The implementation of the principle of discussion predetermines the rejection of traditional subject-object models of pedagogical education and the transition to a dialogic model. The equality of the main methodological approaches (culturological, dialogic, axiological, activity, anthropological, personal, technological) requires the implementation of their balance in the methodological activity of the teacher. The choice of discussion as a teaching method depends on the value priorities of the teacher. Modern students are ideologically ready to participate in dialogic forms of education. Democratic thinking as a tool for the humanistic worldview of future teachers is one of the main results of the discussion.

ChatGPT: A Valuable Tool for Emergency Medical Assistance

Currently, the physician-patient relationship is becoming a triad, with patients relying more on online symptom research. In November 2022, Chat Generative Pretrained Transformer (ChatGPT), a chat-based artificial intelligence (AI) language model, was introduced. Since its launch, it has rapidly gained millions of users and proven capable of handling complex writing tasks, from composing essays to solving complicated problems. 1 ChatGPT: Optimizing language models for Dialogue. https://openai.com/blog/chatgptDate accessed: February 6, 2023 Google Scholar Although its effect on the education system may seem controversial, its widespread popularity presents an opportunity for medical professionals to harness its potential. 2 Stokel-Walker C. AI bot ChatGPT writes smart essays—should professors worry? Nature. Published online December 9, 2022. https://doi.org/10.1038/d41586-022-04397-7 Google Scholar A recent research letter from colleagues at our institution demonstrated that ChatGPT could effectively recommend preventive measures for cardiovascular disease. 3 Sarraju A. Bruemmer D. Van Iterson E. et al. Appropriateness of cardiovascular disease prevention recommendations obtained from a popular online chat-based artificial intelligence model. JAMA. 2023; 329: 842-844 Crossref PubMed Scopus (12) Google Scholar

Social dialogue and labor sphere of Ukraine under the conditions of marital law, european integration and digitalization: problems and prospects of post-war recovery

The authors of the article defined a set of problems in the labor sphere and the system of social dialogue under the conditions of the synergistic influence of the following factors: 1) digitalization (world trend), 2) full-scale armed aggression; 3) the impact of chronically unresolved internal problems, accumulated from 2014 to 2022; 4) the Euro-integrational vector of Ukrainian development with the intensification of this vector after Ukraine acquires the status of a candidate country for joining the European Union (2022). The authors have revealed a tendency towards the rapid activation of attention to the problems of social dialogue, readiness for changes in the current period on the part of the top management of the state, social partners and their joint representative bodies in connection with the processes of forced European integration. The article contains a thorough analysis of ILO documents regarding the assessment of the state and losses of the labor sphere as a result of full-scale armed aggression, as well as a recommendations on achieving the quality criteria of the system of social dialogue. The role of social dialogue in ensuring the stability of the labor sphere of Ukraine in the current conditions is revealed, which is defined by the need for a radical renewal of the system of interaction of social dialogue subjects, the restoration of the work of a joint representative body at the national level - the National Tripartite Socio-Economic Council, respectively, territorial tripartite socio-economic councils, active coordinated decisions and actions by social partners regarding the modernization of the current model of social dialogue in Ukraine. The updated model must meet the basic European requirements, be organically integrated into the system of post-war recovery of the social and labor sphere according to the ILO principle 'build back better'. The need to involve digital resources and possibilities for prospects of the development of the social dialogue system through its renewal on a modern technological network-digital basis is substantiated (author's idea). The practical implementation of the updated system of social dialogue becomes the basis for the creation of an information and communication platform for the interaction of partners at the inter-state and intra-state levels for the implementation of strategic decisions to ensure the stability and post-war recovery of the labor sphere, the economy and the country as a whole, in order to achieve the defined European integration benchmarks.

HealthE: Recognizing Health Advice & Entities in Online Health Communities

The task of extracting and classifying entities is at the core of important Health-NLP systems such as misinformation detection, medical dialogue modeling, and patient-centric information tools. Granular knowledge of textual entities allows these systems to utilize knowledge bases, retrieve relevant information, and build graphical representations of texts. Unfortunately, most existing works on health entity recognition are trained on clinical notes, which are both lexically and semantically different from public health information found in online health resources or social media. In other words, existing health entity recognizers vastly under-represent the entities relevant to public health data, such as those provided by sites like WebMD. It is crucial that future Health-NLP systems be able to model such information, as people rely on online health advice for personal health management and clinically relevant decision making. In this work, we release a new annotated dataset, HealthE, which facilitates the large-scale analysis of online textual health advice. HealthE consists of 3,400 health advice statements with token-level entity annotations. Additionally, we release 2,256 health statements which are not health advice to facilitate health advice mining. HealthE is the first dataset with an entity-recognition label space designed for the modeling of online health advice. We motivate the need for HealthE by demonstrating the limitations of five widely-used health entity recognizers on HealthE, such as those offered by Google and Amazon. We additionally benchmark three pre-trained language models on our dataset as reference for future research. All data is made publicly available.

Dialogic co-creation in English language teaching and learning: a personal experience

Abstract This report will discuss the development and implementation of a dialogic co-creation model for English language teaching in the Language Resource Centre at the Technical University of Darmstadt, Germany. The focus of this report will be on the impact of content co-creation and its impact on learner and teacher autonomy in English language learning and teaching. This collaborative, dialogic model draws primarily on principles of dialogism and exploratory talk (ET) and exemplifies a novel, learner-centered method for curriculum development and teaching in Higher Education. This learner-centered perspective advances an in-depth understanding of the relationship between language learner and teacher, content and language integrated learning (CLIL), language for specific purposes (LSP), their respective content boundaries, the role of content expert and the inhibition threshold. Three examples of teaching English to university professors and professional staff using this model will be discussed. The author proposes that such a model could be adapted and scaled into larger student groups, too.

What matters to us: Bridging research and accurate information through dialogue (BRAID) to build community trust and cultivate vaccine confidence

Despite higher rates of SARS-CoV-2 infections and mortality, vaccine uptake in Black and Latinx populations remained disproportionately low, including in the Bronx, New York. In response, we used the Bridging Research, Accurate Information, and Dialogue (BRAID) model to elicit community members’ COViD-19 vaccine-related perspectives and informational needs and inform strategies to improve vaccine acceptance.We conducted a longitudinal qualitative study over 13 months (May 2021-June 2022), with 25 community experts from the Bronx including community health workers, and representatives from community-based organizations. Each expert participated in 1–5 of the 12 conversation circles conducted via Zoom. Clinicians and scientists, attended circles to provide additional information in content areas identified by the experts. Inductive thematic analysis was used to analyze the conversations.Five overarching themes, related to trust, emerged: (1) disparate and unjust treatment from institutions; (2) the impact of rapidly changing COVID messages in the lay press (a different story every day); (3) influencers of vaccine intention; (4) strategies to build community trust; and (5) what matters to community experts [us].Our findings highlighted the influence of factors, such as health communication, on trust (or lack thereof) and vaccine intention. They also reinforce that creating safe spaces for dialogue and listening and responding to community concerns in real time are effective trust-building strategies. The BRAID model fostered open discussion about the factors that influence vaccine uptake and empowered participants to share accurate information with their community. Our experience suggests that the model can be adapted to address many public health issues.

Using environmental health dialogue in a Diné-centered approach for individualized results reporting in an environmental exposure study following the Gold King Mine Spill

BackgroundOn August 5, 2015, the Gold King Mine Spill (GKMS) resulted in 3 million gallons of acid mine drainage spilling into the San Juan River impacting the Diné Bikeyah (traditional homelands of the Navajo people). The Gold King Mine Spill Diné Exposure Project was formed to understand the impacts of the GKMS on the Diné (Navajo). Reporting individualized household results in an exposure study is becoming more common; however, materials are often developed with limited community input with knowledge flowing in one direction - from researcher to participant. In this study we examined the development, dissemination, and evaluation of individualized results materials. MethodsIn August 2016, Navajo Nation Community Health Representatives (Navajo CHRs) sampled household water, dust, and soil, and resident blood and urine for lead and arsenic, respectively. From May–July 2017, iterative dialogue with a wide range of community partners and a community focus groups guided the development of a culturally-based dissemination process. In August 2017, Navajo CHRs reported individualized results and they surveyed the participants on the report-back process at that time. ResultsAll of the 63 Diné adults (100%) who participated in the exposure study received their results by a CHR in person and 42 (67%) completed an evaluation. Most of those participants (83%) were satisfied with the result packets. Respondents ranked the individual and overall household results as the most important information they received (69% and 57%, respectively), while information on metals exposures and their health effects were the least helpful. ConclusionsOur project illustrates how a model of environmental health dialogue, defined by iterative, multidirectional communication among Indigenous community members, trusted Indigenous leaders, Indigenous researchers, non-Indigenous researchers, can improve reporting individualized study results. Findings can inform future research to encourage multi-directional environmental health dialogue to craft more culturally responsive and effective dissemination and communication materials.

A System-Oriented Dialogue Model to Design Community Partnerships for More Effective Sars-Cov-2 Prevention in Schools: The Case of Spain.

Objectives: The European Centre for Disease Control (ECDC) COVID-19 guidelines for non-pharmaceutical interventions (NPI) identify safety, hygiene and physical distancing measures to control SARS-Cov-2 transmission in schools. Because their implementation requires complicated changes, the guidelines also include "accompanying measures" of risk communication, health literacy and community engagement. Although these are considered crucial, their implementation is complex. This study aimed to co-define a community partnership that a) identifies systemic barriers and b) designs recommendations on how to implement the NPI to improve SARS-Cov-2 prevention in schools. Methods: We designed and piloted a System-Oriented Dialogue Model with the participation of 44 teachers and 868 students and their parents from six Spanish schools during 2021. The results were analysed using thematic analysis. Results: Participants identified 406 items addressing issues related to system characteristics, which is indicative of the complexity of the challenge. Using a thematic analysis, we defined 14 recommendations covering five categories. Conclusion: These findings could help in developing guidelines for initiating community engagement partnerships in schools to provide more integrated prevention interventions.

Konsep ‘Dialogika’ dan Perubahan Model Pembelajaran Sekolah Minggu di GKPI Dame Dr. I.L. Nommensen Resort Saitnihuta, Kabupaten Tapanuli Utara

This paper tries to explain how the Sunday School learning strategy is carried out by Sunday School teachers, and the changes in the learning model that are applied during and after the Covid-19 pandemic. This research uses qualitative-descriptive by conducting in-depth interviews with Sekolah Minggu teachers and GKPI Dame Dr. I.L. Nommensen Saitnihuta, Tarutung. By using the dialogue concept of Paulo Freire, this research shows that teaching and learning activities in Sekolah Minggus provide a free space for critical thinking processes. Teachers can provide a more creative and dialogical learning atmosphere to students. The material for Sunday School activities comes from an agenda book entitled 'Ajarlah Mereka' which the GKPI head office issued by adjusting the contents of the Bible. Students are more reflective in absorbing moral education and applying Christian faith. Teachers conduct regular evaluations, mobilize study rooms and arrange worship arrangements during and after the Covid-19 pandemic takes place. Reflective evaluation of a range of different situations can lead to changes in the dialogical learning model. Teachers and students will be in an equal stage, which is both learning to reflect the gospel and Christian moral values ​​in everyday life.