Real Feelings Research Articles

Akt przekonania w ujęciu Jana Łukasiewicza a idiogeniczna teoria sądu

The aim of this article is to provide a comparative analysis of (i) the act of belief in Jan Łukasiewicz’s conception and (ii) the act of judging in the view of idiogenic theory of judgment. According to Łukasiewicz, the act of belief is not a propositional entity, which reproduces (correctly or not) the states of affairs to which it is intentional directed. Consequently, the act of belief is not a carrier of truth but rather a feeling of reality of something to what it is directed. If one analyses Łukasiewicz’s remarks about beliefs, he would agree that the act of belief is the same as the act of judging understood within the idiogenic theory of judgment. In turn, in phenomenological terms: Łukasiewicz’s belief and idiogenic act of judging could be defined as “thetical moment” or “moment of capturing the reality” (R. Ingarden) or Setzungsmoment (E. Husserl).

Sentiment Analysis of Customer Reviews on E-commerce Platforms: A Machine Learning Approach

Internet users are a huge segment of the consumer market, and businesses nowadays are trying to enter e-commerce, where customers leave reviews regarding products and services. Sentiment analysis is the process of extracting the customer's real feelings from the reviews of the product or services. This study compares logistic regression, naive Bayes, neural networks, and support vector machine algorithms for sentiment analysis and finds the best-performing classifiers among them. This applied study evaluates the classifiers using accuracy, precision, recall, and F1-score metrics. The dataset was taken from the E-Commence website, on which NLP and other classifiers are employed. The results show that the Naive Bayes model, with 94% accuracy, outperforms the different classifiers, where Logistic Regression and Neural Networks are at a similar level of 93%. In comparison, the SVM gave us an average of about 92%. This study suggests the significance of continuously updating sentiment analysis systems to maintain accuracy and relevance. Real-time sentiment analysis tools are a good technique for any text mining work that can help companies address customer problems based on immediate feedback and improve their products.

Game Performance Improvements in Sport Education and Tactical Games Models

The Tactical Games Model (TGM) is summarized as a physical education model where the emphasis is on developing the underlying core components of games and sports to develop the tactical and per-formance skills of participants, known as game performance (Metzler, 2011). The Sport Education Model (SEM) is a physical education model structured and sequenced in a league-based format to provide students with a realistic feeling of being part of a sports team and to gain an un-derstanding of all aspects of competitive organized sport. Evidence to support the SEM successfully developing game performance skills is lim-ited and inconsistent (Farias et al., 2015). The purpose of the study was to investigate the game performance of pre-service physical education teachers in two different instructional models, SEM and TGM, from pre-test to post-test. Forty-six male (n = 32) and female (n = 14) par-ticipants took part in either a SEM or TGM Team Handball Unit. Each unit consisted of 10 lessons planned and implemented by the instructor. The game performance components Adjust, Support, and Passing were examined by the researchers using the Game Performance Assessment Instrument (Oslin et al., 1998) through four-minute observations in a small-sided game situation at pre-test and post-test. No significant (p > .05) interaction was found between SEM and TGM instructional models over time for game performance variables. No significant (p > .05) difference was found in game performance between SEM and TGM instructional models. A statistically significant (p < .05) main effect was found for time, such that game performance scores increased from pre-test to post-test for both SEM and TGM instructional mod-els. Based on the findings of the current study, both SEM and TGM instructional models may increase game performance when instructed with fidelity. The results could be explained through understanding the connection the SEM and Situated Learning Theory (Lave & Wenger, 1991) and/or team cohesion. The results have practical implications for physical educators, and directions for future research are discussed.

Innovation and Practice of Students' Evaluation of Teaching

Students' evaluation of teaching is to establish a platform between students and teachers, which can make them fully trust, so as to convey the real feelings of students and teachers, and improve the quality of teaching. However, in the actual implementation process, we pay too much attention to the evaluation of teaching results, which leads to the failure of the evaluation mechanism, which also leads to the failure of students' evaluation system. However, this does not mean that the student evaluation system itself is not good, this paper will analyze the existing shortcomings of the domestic university rating mechanism, and then give the solution strategy. At present, the innovation and ideological and political teachers in higher vocational schools still lack an effective training and performance evaluation system, and also ignore the era of "post class competition and certification", as well as the demand for knowledge and innovation ability of university teachers. Teachers are ordinary people and have great laziness. Teachers are not omnipotent. The quality of education cannot meet the requirements only by consciously lacking the restriction of system and evaluation mechanism.

A Comparative Study on the Painting Forms of Western Oil Painting and Chinese Ink Painting

Since modern international students introduced oil painting on a large scale to China, oil painting has been developing in China for over a hundred years. In citing the process of progress, learning, integration, and improvement, the change in titles from “Western painting” and “Western painting” to “oil painting” and then to “Chinese oil painting” indicates that oil painting, as an art form, has deeply embodied the characteristics and connotations of traditional Chinese culture. During this period, its development is closely related to the historical background of the entire China, reflecting the continuation and evolution of traditional Chinese freehand brushwork spirit in the complex and changing context of the times. This article compares oil paintings imported from abroad with domestic ink painting, taking the artistic realm of painting in both the East and the West as the starting point. The main axis that runs through them is Chinese ink painting and Western oil painting landscapes. Showcasing the similarities and differences between Chinese ink wash landscape painting and Western oil painting landscapes, Chinese landscape painting emphasizes the expression of emotions and a sense of awe and emotion towards nature, with the main idea of “learning from nature”; The Western oil painting landscape emphasizes the realism of the scenery, which is a re-creation of nature, allowing people to have a realistic feeling of being there when watching the painting. The main reason there are these differences between Chinese ink painting and Western oil painting landscapes is due to different social and cultural backgrounds and fields of consciousness.

Experience of undergraduate nursing students participating in artificial intelligence + project task driven learning at different stages: a qualitative study

BackgroundArtificial intelligence is a growing phenomenon that will soon facilitate wide-scale changes in many professions, and is expected to play an important role in the field of medical education. This study explored the realistic feelings and experiences of nursing undergraduates participating in different stages of artificial intelligence + project task driven learning, and provide a basis for artificial intelligence participation in nursing teaching.MethodsWe conducted face-to-face semi-structured interviews with nursing undergraduates participating in Nursing Research Course which adopts artificial intelligence + project task driven learning from a medical university in Ningxia from September to November 2023, to understand their experience of using artificial intelligence for learning and the emotional changes at different stages. The interview guide included items about their personal experience and feelings of completing project tasks through dialogue with artificial intelligence, and suggestions for course content. Thematic analysis was used to analyze interview data. This study followed the COREQ checklist.ResultsAccording to the interview data, three themes were summarized. Undergraduate nursing students have different experiences in participating in artificial intelligence + project task driven learning at different stages, mainly manifested as diverse emotional experiences under initial knowledge deficiency, the individual growth supported by external forces during the adaptation period, and the expectations and suggestions after the birth of the results in the end period.ConclusionsNursing undergraduates can actively adapt to the integration of artificial intelligence into nursing teaching, dynamically observe students’ learning experience, strengthen positive guidance, and provide support for personalized teaching models, better leveraging the advantages of artificial intelligence participation in teaching.

Realization of Empathy Capability for the Evolution of Artificial Intelligence Using an MXene(Ti3C2)-Based Memristor

Empathy is the emotional capacity to feel and understand the emotions experienced by other human beings from within their frame of reference. As a unique psychological faculty, empathy is an important source of motivation to behave altruistically and cooperatively. Although human-like emotion should be a critical component in the construction of artificial intelligence (AI), the discovery of emotional elements such as empathy is subject to complexity and uncertainty. In this work, we demonstrated an interesting electrical device (i.e., an MXene (Ti3C2) memristor) and successfully exploited the device to emulate a psychological model of “empathic blame”. To emulate this affective reaction, MXene was introduced into memristive devices because of its interesting structure and ionic capacity. Additionally, depending on several rehearsal repetitions, self-adaptive characteristic of the memristive weights corresponded to different levels of empathy. Moreover, an artificial neural system was designed to analogously realize a moral judgment with empathy. This work may indicate a breakthrough in making cool machines manifest real voltage-motivated feelings at the level of the hardware rather than the algorithm.

Multi-modal sarcasm detection based on emotion perception and cross-modality attention fusion

Sarcasm is a rhetorical device commonly used in social media and is prevalent on some social platforms, such as Twitter and Reddit, to dismiss, criticize or ridicule people or events using metaphors and exaggeration. With the rapid growth of social media and internet technology, the way people express their emotions and feelings is not limited to text. Therefore, a multi-modal sarcasm detection task is crucial to understanding people’s real feelings and beliefs. However, most existing models often use implicit fusion and do not significantly align the emotions between modalities explicitly, neglecting the significant role of emotional words in sarcasm detection. In this paper, a model was proposed based on emotion perception and cross-modality attention fusion for multi-modal sarcasm detection. Specifically, an external emotional knowledge was introduced for emotional information enhancement. In addition, the dual-channel BERT-based module and cross-modality interaction fusion were proposed based on an attention mechanism. The experimental results on a public multi-modal sarcasm detection dataset based on Twitter demonstrate the superiority of the proposed model.

Real Feeling and Fictional Time in Human-AI Interactions

As technology improves, artificial systems are increasingly able to behave in human-like ways: holding a conversation; providing information, advice, and support; or taking on the role of therapist, teacher, or counsellor. This enhanced behavioural complexity, we argue, encourages deeper forms of affective engagement on the part of the human user, with the artificial agent helping to stabilise, subdue, prolong, or intensify a person’s emotional condition. Here, we defend a fictionalist account of human/AI interaction, according to which these encounters involve an elaborate practise of imaginative pretence: a make-believe in which the artificial agent is attributed a life of its own. We attend, specifically, to the temporal characteristics of these fictions, and to what we imagine artificial agents are doing when we are not looking at them.

A Study on the Structure of Feeling in Charlotte Bronte’s The Professor

Raymond Williams (1921-1988), one of the most influential Marxist cultural critics in the 20th century, proposed the concept of “structures of feeling” to reproduce the social psychology and emotional experience of people from an era. The structures of feeling are most conspicuous during social transformation and implicit in literary works of the same period. This paper intends to examine Charlotte Bronte’s novel The Professor with Raymond Williams’ “structures of feeling” theory to find out the conflict and contradiction between the real feelings of the characters in the novel and the dominant cultural characteristics, as well as the author’s solution strategy — the magic formula, and to uncover the participation of literary works in British empire construction.

Changes in Instructional Formats: Which Learning Format is More Convenient for Postgraduate Students?

Changes in learning format between face-to-face, online, and blended learning impact learning convenience. Based on changes in learning formats, this research aims to reveal and explore information regarding the learning formats that postgraduate students feel is most convenient based on their experiences and conditions. This research used a phenomenological design to obtain comprehensive and in-depth data regarding the convenience of various learning formats and that are at the beginning of the transition between various instructional formats. Data sources were obtained from postgraduate study participants at various universities in Jawa, Indonesia, who had experienced changes in learning formats during their studies. Data was collected through direct observation and in-depth face-to-face and online interviews of 13 participants to capture real experiences and feelings. The data was then analysed using thematic qualitative analysis techniques with the help of the Atlas.Ti programme. The research results showed that all learning formats can optimise learning success if the resources are available and students are serious and focused on learning. For postgraduate students with good internet access, online learning was the most desired and convenient, both for those who were very busy and those who were just focused on studying. Ultimately, the choice of learning format should be based on carefully examining all available options to maximise their success in achieving their educational goals.

Building the spear: A demonstration in faking and remaking real feelings for an imaginary work

An exploration of the use of emotional responses and creative resonances in communal multimedia storytelling, using Twine to create an interactive text-based adventure game.
 

Visitor preferences in rural gastronomic tourism environment and the related design implications

Since COVID-19, people have suffered tremendous impacts in all aspects of their lives and work, with subtle changes in their environment preferences. The rural areas, with their natural green space, low density, and leisurely habitat, have played an important role after the pandemic and are widely favored by people. Research on rural environments after COVID-19 has received much attention. In the wake of the pandemic, people's needs for the environment have changed not only in terms of physical space, but also in terms of psychological needs. To address the issue of adaptability and resiliency of the future tourism development of the rural areas, this study takes the real subjective feelings of rural visitors as the evaluation standard, and takes the rural gastronomic tourism environment as the research object. We analyzed a sample of 14,373 images and 324,676 comments in Chinese posted by 3484 visitors on social media to explore whether and how people's preferences for rural environments have changed since the pandemic. Findings revealed significant differences in preference for the rural gastronomic tourism environment factors before and after the pandemic. There is variability in environment preferences depending on different gender, environment flexibility and the region. From the perspective of the rural gastronomic tourism environment, the research results provide suggestions for rural planning and rural tourism sustainability, and provide feasible paths for sustainable development and conservation of rural landscapes oriented to human needs, to enhance the resilience and sustainability of rural environments in the future.

E-LEARNING ENVIRONMENT FOR CHILDREN IN REMOTE REGIONS

A The solution for us Mongolians to preserve our nomadic heritage and support children's education is distance e-learning using information and communication technologies. The COVID- 19 pandemic has not only changed the learning and teaching style of many children, parents and teachers around the world, but also the need to reflect on and explore learning environments, programs and methods (Nasanbayar, 2020). UNESCO reported that 91.3 percent of students were unable to participate in classroom learning. In an online environment, even if the educator does not meet the child in person, training can be organized to assess and support the development of the child. Mellow (1996) creative environment in the development of creativity in young children in educational institutions; creative programs; It is noted that the teaching method of a creative teacher is of great importance. Children often express their subconsciousness, desires, feelings and ideas about the world around them in their works, so we chose the visual and creative activity of the kindergarten. In our study, we sought to explore the impact of the environment on children's creativity through classroom visual arts and e-learning. The experiment involved 108 children from 5 preparatory groups of kindergartens in the suburbs of Ulaanbaatar. Analysis of children's work by organizing classes on the topic "Autumn Season" in the classroom and online, taking questionnaires from parents, conducting focus group interviews with teachers, quantitative and qualitative calculation of the results. As a result of the study, it was concluded that during the classroom, the teacher played with the children in the open field, blowing the leaves, which created a real feeling, and in e-learning, the teacher showed his method through video, but it was not possible to create a sense of imagination in children. In the survey, 79.03% of parents from remote areas noted that the Internet speed is insufficient and that they lack digital tools. Thereafter, analyzing the strengths and weaknesses of in classrooms and e-learning resulted in the need for blended and hybrid learning and a need to create e-content that is relevant to course objectives and to have a learning resource base.

Research on the immersive multimedia virtual interactive experience technology of the Great Wall World Heritage based on VR vision system

Abstract This paper constructs an immersive multimedia virtual interactive experience technology with the Great Wall World Heritage Site as the experimental object. By analyzing the VR vision system and algorithm, the process of stereo vision perception and the general algorithm of somatic image production are explained. The distance equation and depth calculation in stereoscopic projection are studied, and the virtual interactive experience technology is constructed and applied to the World Heritage Site of the Great Wall. The result data show that the immersive multimedia virtual interactive experience technology highlights the real feeling of users more, in which the model has 50% of the influence on the real feeling, the mapping has 15%, the lighting has 15%, and the rendering has 10%. The youth population has a higher percentage of interest in the virtual field, accounting for 50%, 65%, and 60%, respectively, while the middle-aged stage has a more average degree of interest in the virtual field, with 50% of the average interest, 30% of happy to experience, 25% of not interested and 50% of interested. This thesis is conducive to enriching the project of the Great Wall World Heritage Site and providing an effective reference for technological innovation of immersive multimedia virtual interactive experience.

The moderating role of age and seniority on nurses' emotional dissonance and perceived health.

This study aims to investigate the weight of surface acting (a condition in which subjects must display an emotional state that does not correspond to their real feelings) in the relationship between the emotional load of nursing work and the perception of health, and to evaluate the moderating effect of age and length of service. A moderated mediation analysis was conducted on a sample of 359 Italian nurses. The results confirmed the mediation role of surface acting and showed that both age and seniority have moderating effects so that in conditions of high emotional load, older and more experienced nurses show higher levels of surface acting, and in conditions of high surface acting, younger and less experienced nurses show lower levels of perceived health. In conclusion, surface acting seems a stressor for younger nurses, not yet used to the weight of faking emotions, while the perceived emotional load seems a stressor for older and more experienced nurses. Each result highlights the importance of providing emotional regulation skills training and support to reduce the psychological impact of emotional demands on nurses.

ЗЛОЧИНИ З МОТИВІВ НЕТЕРПИМОСТІ ТА ЗЛОЧИНИ НА ҐРУНТІ НЕНАВИСТІ: АНАЛІЗ ПОНЯТЬ

A general theoretical analysis of the concepts of “crimes motivated by intolerance”, “hate crimes” and related concepts (such as “genocide”, “prejudice”, “xenophobia”) is provided in the article. The origin and meaning of the mentioned terms, their normative consolidation and practice of use in national legislation and international legal acts are analyzed. It has been proven that the concepts of “crimes motivated by intolerance” and “hate crimes” are close in meaning. As a legal category, crimes based on intolerance are a classification of a special type of crimes against a person caused by the feeling of intolerance felt by the subject of the crime towards a victim, a representative of another race, nationality, sex, religion, sexual orientation, gender identity, etc. It was found out that the basic structure of crimes motivated by impatience consists of two mandatory points: 1) the specified action is a crime according to the criminal law; 2) the motive for such an action is prejudice, that is, a false opinion formed about someone in advance, without familiarization, and the associated corresponding attitude. The signs of hate crimes have been substantiated and revealed: a) it is an action caused by prejudice, which is recognized as a crime according to international and national criminal legislation; b) such crimes have a significant public danger, are an extreme form of discrimination; c) these are crimes in which the victim, the object or the target of the crime were chosen based on their real or imagined belonging to a certain vulnerable group, connection with it; d) such imaginary or real grouping can be based on any socially relevant features or characteristics. It has been found out that the unifying feature of crimes motivated by intolerance is always a motive – a prejudiced or real feeling of hatred, hostility, intolerance towards the “other”, a representative of an imaginary or real “not their” social group. The need to bring the national legislation in line with international legal norms regarding the use of the term “hate crime” and the need to legislate the specified definition are substantiated. Key words: crimes motivated by intolerance, hate crimes; genocide, prejudice, xenophobia, national, racial, religious enmity, criminal law qualification.

Virtual Reality Images of the Home Are Useful for Patients With Hospital-Based Palliative Care: Prospective Observational Study With Analysis by Text Mining.

Malignancy patients who need long-term hospitalization can feel loneliness affecting their quality of life. The global COVID-19 pandemic has caused visiting restrictions that could mean patients who might be missing out on family support and palliative care, therefore, need to adapt and change. We used virtual reality (VR) technology with the aim of reducing feelings of loneliness among these patients. In a small cohort setting, we aimed to clarify the usefulness of VR viewing for this purpose by text mining interviews with the patients in palliative care after their VR experience, and to clarify the feasibility of this program. Four consecutive Japanese patients in the palliative care unit viewed personalized familiar persons or places through VR goggles, while communicating by telephone. After the VR experience, text mining of the patients' interviews was used to extract the words for the frequency count and co-occurrence analysis. Four clusters were extracted: "relief from the pain of hospitalization by feeling safe and secure with family members nearby," "using VR to regain daily life," "immersive feeling of being in the same space as family," and "loneliness due to the realistic feeling of separation from the family through VR experience." There were no cases of VR sickness. Our results attained by text mining suggest the promising potential of VR imaging of familiar surroundings for patients in palliative care.

Bimanual Intravenous Needle Insertion Simulation Using Nonhomogeneous Haptic Device Integrated into Mixed Reality.

In this study, we developed a new haptic-mixed reality intravenous (HMR-IV) needle insertion simulation system, providing a bimanual haptic interface integrated into a mixed reality system with programmable variabilities considering real clinical environments. The system was designed for nursing students or healthcare professionals to practice IV needle insertion into a virtual arm with unlimited attempts under various changing insertion conditions (e.g., skin: color, texture, stiffness, friction; vein: size, shape, location depth, stiffness, friction). To achieve accurate hand-eye coordination under dynamic mixed reality scenarios, two different haptic devices (Dexmo and Geomagic Touch) and a standalone mixed reality system (HoloLens 2) were integrated and synchronized through multistep calibration for different coordinate systems (real world, virtual world, mixed reality world, haptic interface world, HoloLens camera). In addition, force-profile-based haptic rendering proposed in this study was able to successfully mimic the real tactile feeling of IV needle insertion. Further, a global hand-tracking method, combining two depth sensors (HoloLens and Leap Motion), was developed to accurately track a haptic glove and simulate grasping a virtual hand with force feedback. We conducted an evaluation study with 20 participants (9 experts and 11 novices) to measure the usability of the HMR-IV simulation system with user performance under various insertion conditions. The quantitative results from our own metric and qualitative results from the NASA Task Load Index demonstrate the usability of our system.

Design and development of networked real-life cycling training system based on mixed reality technology

The intelligent riding platform cooperates with the PC-side riding training system to simulate the effect of outdoor riding with a certain sense of reality. With the rapid development of information technology, users have also put forward higher requirements for cycling training systems. The 3D virtual scene riding mode provided by the existing intelligent riding training system does not meet the user's preference for real riding, and the domestic riding platform cannot simulate the real road feeling, lacking realism and fun. Therefore, developing a richer and more interesting new cycling training mode and creating a more realistic and accurate real cycling experience based on mixed reality are the new demands of users for the cycling training system. At the same time, the calculation and development of rider power based on the platform is the core of it. In the original single-person riding training mode, the server framework and client-side functional modules are constructed by using the principle of network communication and related technologies such as the production of online game rooms to realize the multi-player competitive function.