Representation Of Person Research Articles

Multi-granular inter-frame relation exploration and global residual embedding for video-based person re-identification

In recent years, the field of video-based person re-identification (re-ID) has conducted in-depth research on how to effectively utilize spatiotemporal clues, which has attracted attention for its potential in providing comprehensive view representations of pedestrians. However, although the discriminability and correlation of spatiotemporal features are often studied, the exploration of the complex relationships between these features has been relatively neglected. Especially when dealing with multi-granularity features, how to depict the different spatial representations of the same person under different perspectives becomes a challenge. To address this challenge, this paper proposes a multi-granularity inter-frame relationship exploration and global residual embedding network specifically designed to solve the above problems. This method successfully extracts more comprehensive and discriminative feature representations by deeply exploring the interactions and global differences between multi-granularity features. Specifically, by simulating the dynamic relationship of different granularity features in long video sequences and using a structured perceptual adjacency matrix to synthesize spatiotemporal information, cross-granularity information is effectively integrated into individual features. In addition, by introducing a residual learning mechanism, this method can also guide the diversified development of global features and reduce the negative impacts caused by factors such as occlusion. Experimental results verify the effectiveness of this method on three mainstream benchmark datasets, significantly surpassing state-of-the-art solutions. This shows that this paper successfully solves the challenging problem of how to accurately identify and utilize the complex relationships between multi-granularity spatiotemporal features in video-based person re-ID.

A tulajdonnevek műfajépítő szerepe a Sorsod Borsod című regionális krimiben

The paper aims to show the role of proper names in defining the novel Sorsod Borsod [‘Borsod is Your Fate’] as a regional crime novel. A further objective is to demonstrate how proper names are used to connect the text of this literary work to the elements of reality and to examine the role played by the reader’s competence in naming practices when distinguishing between fictional and real-life names. The paper provides a brief overview of the source text, outlining the genre-specific characteristics of regional crime fiction. It presents the framework in which the proper names of the novel are analysed. Then, it examines the relationship between the fictional names and the genre-specific characteristics of the novel (representations of topographical features, stereotypes, local spaces and persons). The comprehensive analysis of names encompasses place names, institutional names, personal names, animal names, and other types of names of the region depicted in this crime fiction. The paper examines the presence of ethno-stereotypes in personal names and suggests that proper names may serve as regional labels. The analysis concludes that the novel is dominated by fictional place names that link the textual world to the real world. Moreover, a significant proportion of the surnames in the novel are fictional names reflecting the settlement names of the real-world region. The author has clearly made an effort to follow real-world name patterns in all types of names. The paper states that proper names in this work play an important role in building up the genre of the regional crime novel, as they contribute to the representation of regional particularities rather than to the plot, period or characterisation in the novel.

Cultural Persons’ Representations in High School English Language Teaching Materials in Indonesia

Integrating both local and target cultures in English Language Teaching Materials and emphasizes the need for balance to promote cultural diversity and understanding become an important thing in today’s era. During teaching practice activities at SMAN 17 Tebo, the researcher found that the cultural materials in the English Teaching Materials used are not balanced between the source culture, target culture, and international culture. This has an impact on cross-cultural understanding and less than optimal cultural awareness among students. The purpose of this research is to explore the representation of cultural persons in government textbook and teacher-made modules. This research uses qualitative content analysis as a research design. This research involved a sample of government-approved English language textbooks entitled “Bahasa Inggris Work in Progress” and a teacher-made module at SMAN 11 Tebo. The results show that from the theme of great athletes in chapter one of the Bahasa Inggris Work In Progress textbook and teacher-made module, it can be seen that the dominant sports branch comes from international culture. While the cultural persons represented as athletes are dominated by the source culture. It is recommended that future development of English language teaching (ELT) materials, both in government textbooks like Bahasa Inggris Work in Progress and teacher-made modules, should strive for a more balanced representation of source culture, target culture, and international culture for fostering intercultural competence among Indonesian students.

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medical imaging professions. Generative artificial intelligence text-to-image production could reinforce or amplify gender biases. Methods: In March 2024, DALL-E 3 was utilized via GPT-4 to generate a series of individual and group images of medical imaging professionals: radiologist, nuclear medicine physician, radiographer, nuclear medicine technologist, medical physicist, radiopharmacist, and medical imaging nurse. Multiple iterations of images were generated using a variety of prompts. Collectively, 120 images were produced for evaluation of 524 characters. All images were independently analyzed by 3 expert reviewers from medical imaging professions for apparent gender and skin tone. Results: Collectively (individual and group images), 57.4% (n = 301) of medical imaging professionals were depicted as male, 42.4% (n = 222) as female, and 91.2% (n = 478) as having a light skin tone. The male gender representation was 65% for radiologists, 62% for nuclear medicine physicians, 52% for radiographers, 56% for nuclear medicine technologists, 62% for medical physicists, 53% for radiopharmacists, and 26% for medical imaging nurses. For all professions, this overrepresents men compared with women. There was no representation of persons with a disability. Conclusion: This evaluation reveals a significant overrepresentation of the male gender associated with generative artificial intelligence text-to-image production using DALL-E 3 across the medical imaging professions. Generated images have a disproportionately high representation of white men, which is not representative of the diversity of the medical imaging professions.

Social representations of young people about people with disabilities and disabilities in an inclusive educational environment: the experience of cross-cultural research

Relevance. Interest in the study of social representations arose due to the development of inclusion in all spheres of life. This fact has an impact on the specifics of training Russian and foreign students in this field in a medical university, the development of their inclusive competence. The study of cross-cultural features of social representations of persons with disabilities and the disabled, the identification of universal and specific phenomena in respondents will contribute to understanding social and psychological phenomena at the individual level that determine social attitudes and behavior of individuals in an inclusive modern society, taking into account its sociocultural characteristics.The purpose of the study is to study the cross-cultural characteristics of social perceptions of people with disabilities and people with disabilities among Russian and foreign students.Objectives: to analyze the content characteristics and approaches to the study of social representations; to develop programs of empirical research; to describe the results of the study; to formulate conclusions.Methodology. This study is based on the provisions of the theory of social constructionism (P. Berger, T. Lukman; J.Douglas); E. Durkheim's concepts of collective representations; theories of social representations (S. Moscovici, D. Jodelet, etc.). Research methods: theoretical analysis of literature, research interview, method of verbal associations, testing, content analysis.Results. Both similar and specific phenomena in social representations of people with disabilities and people with disabilities in the samples of Russian and foreign students were revealed. Similar is the presence of tolerant attitudes towards people with disabilities and people with disabilities in both samples. The differences relate to the social level of social perceptions, as well as the characteristics of social distance in relation to respondents to this category of citizens.Conclusions. Along with a tolerant attitude towards people with disabilities and people with disabilities, respondents have insufficient professional awareness of this category of citizens, experience difficulties in interacting with them at the level of joint activities and professional relationships, which requires the development of additional programs and practices in the context of social, educational and volunteer activities to develop inclusive competence of students.

Public space and everyday heritage: An inquiry into children's and adults' perception

This paper examines how the spatial environment and the activities within these spaces contribute to their social value in turn informing the concept of everyday heritage within urban public spaces. We develop a novel methodological framework that combines visual representation and narrative analysis to provide insights into how the physical, emotional and perceptual dimensions of a public open space translate into associative social values. By including both adults and children in our study, we capture a comprehensive range of perceptions, highlighting the diverse ways in which different user groups give meaning to everyday heritage. Children and their guardians showed agreement on natural elements and personal representations, but differed on the garden's spatial layout and activities. While they shared values like childhood memories and family time, children prioritized play, forming new friendships, and connecting with nature, whereas parents emphasized children's happiness and personal space. Notably, both groups indicate that childhood – both lived and remembered – is that which gives this public urban space its everyday heritage status. The findings advocate for an expanded understanding of urban public spaces, recognizing the significance of everyday heritage in shaping collective cultural identity.

Towards Equitable Representations of Ageing: Evaluation of Gender, Territories, Aids and Artificial Intelligence

There are few studies on the representation of older people regarding aids and assistive devices and even fewer that incorporate more inclusive views (gender, emotions, anti-ageist, territorial or land approach) as well as virtual or land ethnography or artificial intelligence. The general objective was to evaluate digital images of aids and assistive aids in the older population, from the perspectives mentioned above. Method. A descriptive and cross-sectional study that searched, observed and analyzed images. An evaluation of intentionally selected images from Freepik, Pixabay, Storyblocks, Splitshire, Gratisography and ArtGPT, included in an original database constructured by several authors of this article, was carried out in the context of the ENCAGEn-CM project (2020–2023, financed by the CAM and FSE). This base was updated and expanded in October and November 2023. In addition, an image generation process was carried out using artificial intelligence, and this was also part of the analysis (ArtGPT). Finally, algorithms were used to solve and retrain with the images. Results. Of the total final images included in the expanded database until November 2023 (n = 427), only a third (28.3%, 121/427) included the aids and assistive aids label. Representations of mixed groups predominated (38.8%) and, to a lesser extent, those of women. A large proportion of the devices were ‘glasses’ (74.6%) and the ‘use of a cane’ (14.9%). To a lesser extent, ‘wheelchairs’ (4.4%) or ‘hearing aids’ (0.9%) and the presence of more than one device (simultaneously) (5.3%) were noted. The main emotions represented were ‘joy’ (45.6%) and ‘emotion not recognized’ (45.6%), with, to a lesser extent, ‘sadness’ (3.5%), ‘surprise’ (4.4%) and ‘anger’ (0.9%). Differences by sex were found in the represented emotions linked to aids and assistive aids. The representation of images of the built environment predominated significantly (70.2%), and it was observed that older women were less represented in natural environments than men. Based on the previous findings, a method is proposed to address stereotypes in images of older individuals. It involves identifying common stereotypical features, like glasses and hospital settings, using deep learning and quantum computing techniques. A convolutional neural network identifies and suppresses these elements, followed by the use of quantum algorithms to manipulate features. This systematic approach aims to mitigate biases and enhance the accuracy in representing older people in digital imagery. Conclusion. A limited proportion of images of assistive devices and older people were observed. Furthermore, among them, the lower representation of images of women in a built environment was confirmed, and the expressions of emotions were limited to only three basic ones (joy, sadness and surprise). In these evaluated digital images, the collective imagination of older people continues to be limited to a few spaces/contexts and emotions and is stereotyped regarding the same variables (sex, age, environment). Technology often overlooks innovative support tools for older adults, and AI struggles in accurately depicting emotions and environments in digital images. There is a pressing need for thorough pretraining analysis and ethical considerations to address these challenges and ensure more accurate and inclusive representations of older persons in digital media.

The subject of law as a formall-ydogmatic model of human in legal reality: anthropological and legal analysis

The article is devoted to the study of the subject of law as a formal-dogmatic model of a person in legal reality. The process of the doctrinal formation of the subject-legal model is traced, four methodological transitions in the legal view of the subject of law are distinguished. The importance of an anthropological and legal approach to understanding a person and his behavior in modern legal reality is substantiated. The anthropological and legal approach is based on the idea, that law is inherently human phenomenon, the main goal and value of which is the person himself, and not his subject-legal model. In this regard, it is proposed to recognize the official nature of legal-conceptual design in relation to the teachings of a person in law. Despite the fact that the formal-defense method underlies the legal regulation of social relations and the legal means created with its help are a guarantee for a person as the main legal value, nevertheless, it is a person, and not his legal structure, is a central element of legal reality and legal system. To know the anthropological and legal properties of a person and their use in legal regulation, an additional level of legal representation of legal personality in relation to the formal-defendant is proposed.

Multi-level modality-specific and modality-common features fusion network for RGB-IR person re-identification

Current approaches in RGB-Infrared Person Re-Identification (RGB-IR ReID) often utilize two parameter-specific subnetworks to extract modality-specific features from RGB and IR images, followed by a shared-parameter subnetwork that identifies common features across modalities to facilitate the matching of individuals. Nevertheless, the aforementioned methods ignore the complementary relationships between modality-specific and modality-common features. The exploration of discriminative person-related modality-common features may not be comprehensive, leading to sub-optimal results. To address the above issue, we design a novel multi-level modality-specific and modality-common features fusion network (3MFFNet). Specifically, in 3MFFNet, we design a multi-granularity feature fusion module (MGFFM) to explore those complementary person-related information between modality-specific features and modality-common features. Meanwhile, we combine a multi-granularity feature extraction strategy with an attention mechanism for selecting those discriminative person-related modality-specific features and facilitating the fusion process. This method can make the RGB-IR network obtain a more robust and discriminative person representation. Through extensive experiments conducted on two public datasets, our approach demonstrates superior performance compared to existing state-of-the-art methods.

POLITICAL INTERNET MEMES: A LINGUISTIC PERSPECTIVE

The article is devoted to the analysis of the phenomenon of memes, which are a controversial aspect of modern communication, the subtleties of which have not yet been studied. The analysis of language material shows that the combination of verbal and non-verbal components of memes creates an autonomous information entity that is capable of self-reproduction of the representation of a linguistic personality at the phonetic, lexical, grammatical, cognitive and pragmatic levels in political discourse. In this realm, the concept of the “political internet meme” emerges, denoting a specialized form of political discourse that combines visual and verbal components to sway an audience into the realm of political communication. These memes combine traditional political terminology with colloquial vocabulary strategically designed to achieve persuasive goals. Generally, political internet memes are created through affixation and the use of simplified grammatical structures without articles, often intentionally including spelling and grammatical errors to increase their impact. In pursuit of a comedic effect, the creators of political Internet memes use a whole arsenal of stylistic and linguistic means. These include complex wordplay involving phonetic and morphological manipulations, various expressive techniques, and playful experiments with typography and punctuation. Thanks to such means, memes go beyond the simple transmission of information, turning into powerful tools of political expression and persuasion.

STUDY OF NONVERBAL COMMUNICATION OF CONFERENCE INTERPRETERS’ LINGUISTIC PERSONALITY

The article is devoted to the relevance and significance of nonverbal communication in a comprehensive approach to the study of the linguistic personality of a conference interpreter. The author explains the use of the communicative-functional approach to the analysis of verbal and nonverbal behaviour of the interpreter’s linguistic personality. The hypothesis of the study brings out that the nonverbal behaviour of the interpreter’s linguistic personality is determined by the content of the translated utterance, the interpreter’s internal motivation and intention (the pragmatic level of the linguistic personality), and it is consistently proved that nonverbal means shall be considered as part of the structural model of the linguistic personality, influencing the verbal representation of the linguistic personality. The author analyses a nonverbal sign (at its beginning, middle and end of its expression) and a translation syntagm as minimal units of study. The units of the study were collected by solid sampling from 14 video recordings of interpretation series, total study includes 105 minutes with records of nonverbal signs used by linguistic personality the interpreters participated in the study. As a result, the author classified nonverbal signs into vegetatives and somatives, and she structurally described the content of the groups of kinesic somatives, oculesic somatives and prosodic somatives, presenting the semantic content of nonverbal signs; within kinesic somatives, the author described a subgroup of comfort-gestures. The paper concludes about the prospect of further study of nonverbal communication and its importance for the study of linguistic personality in general.

Personalized News Recommendation Method with Double-Layer Residual Connections and Double Multi-Head Self-Attention Mechanisms

In today’s society, there is an urgent need to help users better access information that they are interested in, as there is an increasing amount of news and messages available with the development of the Internet. Many existing methods involve directly inputting text into a pre-trained model, which limits the effectiveness of text feature extraction. The personalized news recommendation model discussed in this article is a model that can enhance feature extraction from news articles. It consists of a candidate news module, a historically accessed news module, and an access prediction module. Using news titles that accurately summarize news content, a model with double multi-head attention mechanisms and double residual structures (DDM) is utilized to better capture the features of news articles historically accessed by users, thereby achieving an improved recommendation functionality. The candidate news module aims to help the model learn representations of news that users are likely to select from the news titles. The user historical click news module primarily serves to enable the model to learn personalized representations of users from news they have previously browsed. The model has been tested on MIND-small. The AUC reached 0.6665, the MRR reached 0.3205, the nDCG@5 reached 0.3532, and the nDCG@10 reached 0.4158. The results indicate this model has achieved good results in the downstream tasks of preprocessing news-title texts.

Distinct Yet Proximal Face- and Body-Selective Brain Regions Enable Clutter-Tolerant Representations of the Face, Body, and Whole Person.

Faces and bodies are processed in separate but adjacent regions in the primate visual cortex. Yet, the functional significance of dividing the whole person into areas dedicated to its face and body components and their neighboring locations remains unknown. Here we hypothesized that this separation and proximity together with a normalization mechanism generate clutter-tolerant representations of the face, body, and whole person when presented in complex multi-category scenes. To test this hypothesis, we conducted a fMRI study, presenting images of a person within a multi-category scene to human male and female participants and assessed the contribution of each component to the response to the scene. Our results revealed a clutter-tolerant representation of the whole person in areas selective for both faces and bodies, typically located at the border between the two category-selective regions. Regions exclusively selective for faces or bodies demonstrated clutter-tolerant representations of their preferred category, corroborating earlier findings. Thus, the adjacent locations of face- and body-selective areas enable a hardwired machinery for decluttering of the whole person, without the need for a dedicated population of person-selective neurons. This distinct yet proximal functional organization of category-selective brain regions enhances the representation of the socially significant whole person, along with its face and body components, within multi-category scenes.

GenoFig: a user-friendly application for the visualization and comparison of genomic regions.

Understanding the molecular evolutionary history of organisms usually requires visual comparison of genomic regions from related species or strains. Although several applications already exist to achieve this task, they are either too old, too limited, or too complex for most user's needs. GenoFig is a graphical application for the visualization of prokaryotic genomic regions, intended to be as easy to use as possible and flexible enough to adapt to a variety of needs. GenoFig allows the personalized representation of annotations extracted from GenBank files in a consistent way across sequences, using regular expressions. It also provides several unique options to optimize the display of homologous regions between sequences, as well as other more classical features such as sequence GC percent or GC-skew representations. In summary, GenoFig is a simple, free, and highly configurable tool to explore the evolution of specific genomic regions in prokaryotes and to produce publication-ready figures. Genofig is fully available at https://forgemia.inra.fr/public-pgba/genofig under a GPL 3.0 license.

Система ценностей русского образа мира в психолингвистическом аспекте (на основе результатов свободного ассоциативного эксперимента)

The aim of the research is a psycholinguistic substantiation of the systemic nature of the representation of the Russian person’s personal value nominations at the present stage of society development. The article considers the linguistic realization of values in the form of value names, which are represented in the soft hierarchy of system elements. The most significant values were identified on the basis of a pilot survey of respondents, ranked, in accordance with the participants’ assessments. The names of values create a system of a soft hierarchy, where the closest connections in the form of interrelated dyads are observed in the core. The associative experiment showed the presence of associative connections between the analyzed names of values. The zone of the near periphery is represented by several dyads and a triad, the zone of the near periphery is represented by values with weak connections between the elements. The scientific novelty of the research is that it provides, for the first time, an analysis of the systemic nature of the axiological sphere of the early 21st century on the basis of the Russian language as one of the spheres of the Russian image of the world. As a result of the research, the dynamics of the axiological sphere was revealed, which manifests itself in changes in the associative components in its structure, which, under the influence of various factors, leads to a change in the content and the very structure of the value space of the Russian native speaker and Russian culture in the 21st century as a whole.

Interviewing in the metaverse: The renewed importance of location and embodiment

In this paper, we explore the methodological implications of conducting online qualitative interviews in the metaverse through virtual reality (VR). Technology companies have invested heavily in creating metaverse platforms for bringing people together in digital worlds, yet there is a significant absence of geographical research examining the implications of these spaces. Twenty-six undergraduate students participated in a remote interviewing exercise using the platform AltSpaceVR. Face-to-face interviews were subsequently conducted to gather their reflections about the experience of research interviews in a metaverse. The study highlights the significance of immersion and presence in virtual environments. Participants noted that, in contrast to video interviewing, the immersive nature of the virtual space resembled conventional face-to-face interviews. A sense of immersion and presence enhances the authenticity of the interview experience. There were, however, challenges in interface management and the role of avatars altering the embodied connection with the research subjects. The avatars provided personal representation but introduce complexities in establishing genuine connections and rapport. In our discussion of the implications for VR qualitative research, we emphasise the interplay of immersion, presence and embodiment which can add real value to remote interviewing experience, while reflecting on the technical and physiological limitations.

Mask-guided discriminative feature network for occluded person re-identification

In recent years, although research on person re-identification (ReID) has made significant progress, occluded person ReID remains a major challenge. In real-world scenes, persons are often occluded by various obstacles such as vehicles, umbrellas, and other persons. This leads to the noisy interference and the loss of visual information, which result in poor ReID performance of occluded persons. To address this issue, we propose an end-to-end Mask-guided Discriminative Feature Network (MDFNet). First, MDFNet adopts a dual-branch architecture with a shared encoder as the Feature Extraction module for paired images. Each pair of images consist of one image from the training set and its corresponding occluded image generated through an occlusion augmentation strategy. Second, MDFNet utilizes a Mask-guided Discriminative Feature Enhancement and Fusion (MDFEF) module to achieve the fusion and enhancement of global and local features for high-quality person representations. MDFEF module effectively suppresses the interference of occlusion, enriches the representation capacity of person features, and enables the model to focus more on the important features in non-occluded regions. Furthermore, MDFNet introduces a sparse pairwise loss for enabling the model to dynamically adapt to intra-class variations and reduce the negative impact of complex occlusions. The experimental results on four challenging person ReID datasets demonstrate the effectiveness of the proposed method.

Representation of Locality in Media Art in Yogyakarta: Dedy Shofianto's Kinetic Art Case Study

In the development of contemporary art, the issue of identity becomes a central and important thing to be studied more deeply, especially the personal or communal identity of marginalized parties in the context of modern society. This is what makes local values elevated and become a specific, unique identity character and become the characteristic of the artist in his work. Similarly, artists in Indonesia form a qualified personal representation with specific local values based on their background. Not just dwelling on conventional media, artists explore media more broadly. New media such as digital devices, kinetics, sound and so on are felt to be able to represent the state of the surrounding environment without abandoning the local identity that remains attached. Dedy Shofianto is one of the Yogyakarta artists whose execution uses conventional media but with a different approach, where kinetic elements become an identity that is closely related to the artist, which is supported by a strong local content narrative. The visual representation and material characteristics carried have a background and cultural narrative that is a unique characteristic of each of Shofianto's works, such as the use of wood materials that are attached to Indonesia as a tropical country and the myths of the archipelago are visible representations in Shofianto's works.

PLoPS: Localization-aware person search with prototypical normalization

Person search involves localizing and re-identifying persons of interest captured by multiple, non-overlapping cameras. Recent approaches to person search are typically built on object detection frameworks to learn joint person representations for detection and re-identification. To this end, the features extracted from pedestrian proposals are projected onto a unit hypersphere using L2 normalization, and positive proposals that sufficiently overlap with the ground truth are equally incorporated for training by exploiting an external lookup table (LUT). We have found that (1) using the L2 normalization technique, without considering feature distributions, can degenerate the discriminative power of person representations, (2) positive proposals often depict distracting details, such as background clutter and person overlaps, and (3) person features in the LUT are not often updated during training. To address these limitations, we propose a novel framework for person search, dubbed PLoPS, using a prototypical normalization layer, ProtoNorm, that calibrates features while considering the long-tail distribution across person IDs. PLoPS also entails a localization-aware learning scheme that prioritizes better-aligned proposals w.r.t the ground truth. We further introduce a LUT calibration technique to continuously adjust the person features in the LUT. Experimental results and analysis on standard benchmarks demonstrate the effectiveness of PLoPS.

A Linguocognitive approach to the analysis of the interpreter’s language personality in an interpreting situation

The present article is devoted to the problem of applying a linguocognitive approach to the analysis of the linguistic personality of an interpreter/conference interpreter. The use of the linguocognitive approach seems to the author to be the most promising direction in view of the possibility of applying a comprehensive analysis of the interpreter’s verbal and non-verbal behavior. The conducted analysis − the study of the functional side of the linguistic personality at the moment of interpretation − contributes to the progress in the field of the national cognitive translation studies.The research aims to analyze the audiovisual series of simultaneous interpretations, which leads to the use of modern research methods in the analysis of verbal markers and the “unnoticed background”, including, on the one hand, the discursive features of linguistic personality in various sections of the language, and on the other hand, − intertextuality and creation of new meanings. The relevance of the linguocognitive approach in linguopersonology is due to the insufficiently studied mechanisms of comprehensive analysis of linguistic personality in general, as well as a rather limited number of studies of this kind.The author presents her view on the possibilities of applying linguocognitive analysis for a reliable and verifiable results of the interview genre research. The article describes the complexity and multi-dimensionality of the genre under study, reveals the destabilizing factors in the performance of interpretation that affect the manifestation of a linguistic personality, provides criteria for evaluating sounding speech, and the extent of its influence on the representation of linguistic personality, and, consequently, the success of the interpretation.The proposed approach to the study of the representation of the linguistic personality of an interpreter allows for linguistic and extralinguistic analysis, to study the verbal and nonverbal behavior of speakers, to assess the quality of translation, typologize translation errors, identify the features of prosody and non-verbal behaviour. In addition, the author introduces the term “an interpreting situation” in relation to the context of the study, describes the stages and the parameters of the source text analysis (translation degree) and destabilizing factors that affect the results of the study. The experimental study confirmed the prospects for the application of the linguocognitive approach; the representation of the interpreter/conference interpreter in the genre of television interview is marked by a special typical variety of text: a combination of journalistic and colloquial styles, the use of elliptical constructions, modality, syntactic and lexical repetitions.