Role Of Interpersonal Relationships Research Articles

Elevating Facial Expression Detection: Empowered by VGG-19 and Weight-Normalized Gradient Boost Algorithm

Facial expression recognition termed as FER, is one of the vital tasks which is able in mimicking the human ability and wellness. Face expression and other gestures delivered via face are some of the important aspects of conveying non-verbal communications which plays a vital role in interpersonal relations. This domain has a higher scope of research due to enhancing computer vision and human-computer interaction. With respect and consideration to these domain interest, DL has gained a reasonable approach in performing FER. Some of the state-of-art approaches encompassing the ML approaches have faced several cases of laybacks such as overfitting, computational complexity, less adaptable to higher and big datasets. Thus, considering these laybacks and in achieving accurate FER in aspects of bringing proximal levels of FER, the current approach deployed DL methods for both feature extraction from the input image and in classifying them. Deep multi-level feature extraction is performed using the VGG-19 model and Weight Normalized gradient boosting algorithm is adapted for classifying these expressions using the FER13 dataset. This dataset constitutes the input images, which are in ranges of 28,709 sample image data and about 3,589 image data for test. These input images are initially pre-processed for obtaining better accuracy rates when performing feature extraction and classifications. The complete model in effective FER is evaluated using the performance metrics comprising Accuracy (98%), Recall (99%), F1-score (98%) and the precision rates (97%). This analysis of the performance will aid in affirming the overall efficacy of the proposed system.

Connections between eating psychopathology, loneliness, and quality of life: insights from a multi-center study.

Eating disorders (ED) involve dysfunctional attitudes towards food intake, affecting physical and psychosocial well-being. These disorders significantly impact various domains of life and can lead to a decrease in health-related quality of life (HRQoL). Recent studies emphasize the importance of addressing HRQoL in ED treatment, particularly in the context of social isolation and loneliness, but this aspect is currently poorly evaluated. A sample of 220 people with an ED was enrolled for the study from different centers specialized in the treatment of ED and compared to 151 people from the general population. Different validated questionnaires were used to evaluate eating psychopathology, HRQoL, and loneliness. Partial correlation analyzes adjusted for marital status and regressions were used to evaluate the relationships between constructs and the differences between groups. Higher feelings of loneliness were associated with a poorer HRQoL in patients and controls. In the ED group, both loneliness and eating psychopathology were significant predictors of HRQoL. Meanwhile, the duration of the disorder predicted HRQoL specifically in underweight patients, and BMI was a predictor of HRQoL in individuals with normal or above-normal weight. These findings highlight the importance of considering both HRQoL and loneliness in EDs, particularly among younger individuals. This approach aligns with the increasing focus on the role of interpersonal relationships in the recovery process. Additionally, the data confirm a link between weight and loneliness, suggesting that this connection, especially the differences between underweight patients and those of other weights, deserves further investigation.

Validity and Reliability Tests of a Love Language Questionnaire in Indonesian

The research focuses on the validity and reliability of a love language questionnaire tailored to the Indonesian context, where cultural nuances play a significant role in interpersonal relationships. The sampling technique in this study used a non-probability sampling method to determine the sample tested, where the population was married individuals in the Bone district. Therefore, the technique chosen was the purposive sampling method. Hence, this research consisted of 30 married individuals from the Bone district. A triangulation approach was applied to develop the questionnaire, combining linguistic analysis, psychological insight, and statistical rigor. This method ensured that the questionnaire captured the nuances of love languages in the Indonesian context. The Love Language Questionnaire was grouped into five indicators: acts of service, receiving gifts, quality time, words of affirmation, and physical touch. Each indicator consists of four positive and four negative statements. The type of analysis employed was inferential analysis. The analysis results revealed that 30 items scored above the Pearson correlation coefficient of 0.361, indicating the validity of the items. In addition, Cronbach's alpha coefficients for all indicators exceeded 0.70, indicating reliability. The results indicate that the questionnaire is a valid and reliable instrument for research in psycholinguistics. The limitation wall that hindered the results was the lack of a proper understanding of the sociolinguistic nature of the research population.

TASAVVUFDA MULOQOT: IJTIMOIY-FALSAFIY TAHLIL

The article discusses the importance of an in-depth analysis of the philosophical, spiritual and moral aspects of communication in modern society. The main characteristics of dialogue and its role in interpersonal relationships are discussed, as well as the connection of communication with the Sufi tradition, especially in the context of Sufism. The author emphasizes the need for a multifaceted approach to the study of this topic, taking into account social, political, religious and philosophical aspects, and also suggests research methods, including the study of literature, direct participation in community work and an interdisciplinary approach.

Performance and Image Enhancing Drug Use Among Australian Women: The Role of Interpersonal Relationships in Facilitating Use

Background: Women comprise a minority of performance and image-enhancing drug (PIED) consumers, with use linked to undesirable side effects. Preliminary work suggests that many women have little knowledge of what substances they are using, with males close to them involved in their use. This study aimed to explore women's motivations for PIED use; to examine the negative health experiences related to use; and to understand how interpersonal relationships facilitate their use. Method: Women who had used PIEDs were invited to participate in an online survey ( N = 28) and/or interview ( N = 10). Open-text survey and interview data were analyzed using content and thematic analyses, respectively. Results: There were three key areas (motivations, health experience, role of third parties) within which 12 theme categories were developed from the survey data. There were three overarching themes developed from interviews that expanded on these data: socializing women's use, facilitating women's use, and PIEDs exacerbating existing issues. Conclusion: The findings substantiate the nuanced gender dynamics of women's PIED use, challenging stereotypes and revealing the complexity of their motivations and experiences. While women's reasons for PIED use may share some semblance with men's, there is a less comprehensive understanding of the physical and psychosocial impacts of these drugs. To empower women and destigmatize PIED use, interventions focusing on substance literacy and stigma management are crucial. Future research should explore these interventions’ effectiveness in promoting women's well-being and autonomy.

Educational Reform Strategy for Improving Mental Health Literacy of Vocational College Students

Depression is a prevalent negative emotion in daily lives that threatens individuals' physical and mental well-being. Adult attachment plays a crucial role in interpersonal relationships. In this study, adult attachment and depressive emotion were selected as variables to delve into the factors influencing the mental health status of vocational college students from different angles. Such research holds significant implications for fostering psychological maturity and better personality as well as developing social relations and personal careers among vocational college students. This study investigated 280 vocational college students on their adult attachment styles and depressive emotion and came to the following conclusions: (1) Significant difference was observed in attachment anxiety between genders, with males experiencing lower levels of attachment anxiety compared to females; (2) Students across different academic years showed significant variations in avoidant attachment and depressive emotion, with sophomores and juniors exhibiting lower levels of depressive emotion compared to freshmen; (3) Significant differences were also observed in the levels of depressive emotion between students who are only children and those who have siblings, with the latter group reporting lower levels of depression; (4) Significant positive correlations were found between the level of depressive emotion and both attachment avoidance and attachment anxiety, that is, the lower the degrees of attachment anxiety and attachment avoidance, the less likely for students to be depressed. In terms of the above, below educational strategies for improving the mental health literacy of vocational college students were proposed: (1) Educational institutions should shift from lecturer-led teaching to practical teaching in mental health education; (2) Educational institutions should offer different mental health courses based on the attachment styles of vocational college students.

Emotion and Gesture Recognition

Human Gestures and emotions play an important role in interpersonal relationships. The automatic recognition of emotions and gestures has been an active research topic from early eras. Emotions are reflected from facial expression, speech and gesture of the body. Hence understanding of emotion and gesture has high importance in interaction between humans(human-human) as well as between human and machine communication.In this system captured images are compared with the trained dataset available in the database and then display emotional state and gesture. For this system, fer13 (Facial Expressions Recognition 2013 dataset) and VGG16 (Visual Geometry Group) datasets are used to compare with captured images. In this system emotion and gesture recognition, both will run simultaneously. EDA(Exploratory Data Analysis) is used to analyse and validate the train data for both emotion as well as gesture dataset.

“Treat Me as Your Friend, Not a Virtual Being”: The Impact of Intelligent Virtual Agent’s Self-Disclosure of Different Emotions on Children’s Friendship

Intelligent virtual agents (IVAs) in virtual reality have become integral companions for children. They have gained prominence in children’s daily engagements by offering a rich interactive experience. In interpersonal relationships, self-disclosure, the process by which individuals share personal information and emotional experiences with others, plays a crucial role. In interactions with IVAs, self-disclosure not only influences the formation of relationships between children and IVAs but is also an important criterion for assessing whether IVAs can serve as effective interpersonal interaction partners. While self-disclosure plays a pivotal role in interpersonal relationships, its impact, especially when conveyed through varied emotional tones in IVAs, remains largely uncharted. This study investigated the intricate dynamics of how different emotional tones in IVAs’ self-disclosures influence children’s perceptions and relationship-building. By engaging 30 children in a structured experiment, we discovered that self-disclosure infused with high-valence emotions foster more profound connections. Interestingly, children exhibited muted sensitivity to arousal variations in high-valence emotions. However, their perceptions markedly shifted with arousal changes in low-valence emotions. Specifically, children resonated more with IVAs that showcased low-arousal negative self-disclosures. These findings not only shed light on the nuanced interplay of emotions in IVAs’ self-disclosure but also pave the way for more informed design strategies for child-oriented educational IVA.

Social media and mental health: The role of interpersonal relationships and social media use motivations, in a nationally representative, longitudinal sample of Spanish emerging adults

Using a representative longitudinal sample of emerging adults aged 18 to 24 in Spain, we apply a relational lens to the association between social media and mental health. We explore how, beyond time in social media, mental health is influenced by three distinct motivations for social media use: communication ( interacting with others), surveillance ( finding out what others are doing), and escapism ( evading uncomfortable thoughts). Next, we explore the role of relational satisfaction with family and friends in the association between social media use and mental health. We find negative reinforcement patterns (reverse causation) between non-relational motivations in the use of social media (escapism), internalizing psychopathological symptoms, and time in social media; that is, increasing one of them leads to higher levels of the others. We also find that satisfaction with family reduces internalizing psychopathological symptoms, and satisfaction with friends predicts a communicative use of social media. In sum, promoting healthy relationships and relational motivations in the use of social media might help prevent mental health issues among Spanish emerging adults.

Motives for aestheticizing the body in the process of self-presentation based on a study of women undergoing aesthetic procedures

Body aesthetics encompasses practices designed to improving beauty and enhancing physical attractiveness. Nowadays, appearance plays an increasingly important role in interpersonal relationships, especially in self-presentation strategies. The article aimed to present the motives of body aesthetics in an image creation in a group of women who use aesthetic procedures. On the basis of the presented research, the author’s typology of emerged motives was created which include: the motive of covering up, compensating, aspiring and manifesting, which reveal the broader role of aesthetics in the context of social interaction.

Perceptual Quality Improvement in Videoconferencing Using Keyframes-Based GAN

In the latest years, videoconferencing has taken a fundamental role in interpersonal relations, both for personal and business purposes. Lossy video compression algorithms are the enabling technology for videoconferencing, as they reduce the bandwidth required for real-time video streaming. However, lossy video compression decreases the perceived visual quality. Thus, many techniques for reducing compression artifacts and improving video visual quality have been proposed in recent years. In this work, we propose a novel GAN-based method for compression artifacts reduction in videoconferencing. Given that, in this context, the speaker is typically in front of the camera and remains the same for the entire duration of the transmission, we can maintain a set of reference keyframes of the person from the higher-quality I-frames that are transmitted within the video stream and exploit them to guide the visual quality improvement; a novel aspect of this approach is the update policy that maintains and updates a compact and effective set of reference keyframes. First, we extract multi-scale features from the compressed and reference frames. Then, our architecture combines these features in a progressive manner according to facial landmarks. This allows the restoration of the high-frequency details lost after the video compression. Experiments show that the proposed approach improves visual quality and generates photo-realistic results even with high compression rates. Code and pre-trained networks are publicly available at https://github.com/LorenzoAgnolucci/Keyframes-GAN.

E-learning and Levels of Interpersonal Relationships among Postgraduate Students in Selected Universities in Kenya

Background: The shift to e-learning, particularly during the COVID-19 pandemic, has transformed higher education. However, there is limited understanding of how e-learning affects the emotional well-being of postgraduate students. This study addresses this gap by examining the impact of different e-learning modalities on interpersonal relationships and emotional well-being in postgraduate students in Nairobi County, Kenya. Objective: The study investigates how e-learning modes influence emotional well-being, focusing on the role of interpersonal relationships and the moderating effect of perceived social support. Methods: A mixed-methods approach was employed using an embedded-correlational design. Quantitative data were collected through the PERMA Adult Profiler, while qualitative insights were gathered from open-ended interviews. The sample included 323 postgraduate students from nine universities in Nairobi County, with an additional eight participants for qualitative analysis. Results: Findings revealed high levels of interpersonal support and satisfaction with personal relationships. However, no e-learning mode significantly predicted interpersonal relationships (p > 0.05). Blended Learning, which combines online and in-person sessions, achieved the highest mean score, followed by Pure Online Teaching. These findings suggest that while e-learning mode does not critically influence interpersonal relationships, both Blended Learning and Pure Online Teaching foster strong social connections. Implications: The study underscores the importance of institutional and supervisory support in enhancing the e-learning experience. Future research should explore diverse contexts and long-term effects to further understand e-learning’s impact on interpersonal relationships and academic success.

Частная жизнь татарской женщины дореформенной эпохи (на примере Мензелинского уезда)

The article restores the social and economic status of Tatar women based on documents of Orenburg Mokhammedan Religious Assembly (OMRS), state audit documents, acts of civil status, and journalistic materials of the 19th-early 20th centuries. The Menzelinsk Uyezd had class specifics and was a part of the military (canton) administration. The chronology of the article starts from the late 18th century and continues until the mid–1860s, due to the fact that at the time the state authorities approved certain laws on marriage and family life of Muslims of the Russian Empire: they changed the age of marriage and legalised inter-class marriages, the OMRS began to regulate marital disputes and inheritance cases. The author places the main focus on the marriage and family aspect of private life and includes many archival examples related to the Tatar women of the Menzelinsk Uyezd. Tatar women turned to OMRS when they needed a divorce or permission to remarry, etc. Women were independent subjects of Muslim and civil law, but they always acted with the support of their relatives. Images of Tatar women in the first half of the 19th century presented in publicistic works are a bit static. Russian authors described only the look of a Tatar woman, the cost of her clothes, accessories, etc. The Tatar view was focused on the composition of the woman’s family (to whom she was married, how many children she had). The article presents the biographies of three Tatar women from the Menzelinsy Uyezd: Kurypla Imanaeva, Gulbadar Akhtyamova, and Khasiba Arduanova. Each case illustrates the main trends in everyday life in the first half of the 19th century (military service problems, the cholera epidemic, etc.). The everyday objects played an important role in interpersonal relations and conflicts. At the same time, in the second half of the 19th century, the Tatar society had an ideal of not only a hard-working and religious woman, but also an educated woman.

Impacts of Information and Communication Technology on Professional and Personal Life and Employee Satisfaction

Abstract Modern information and communication technology (ICT), as a complex system of tools and systems, affects the individual and society as a whole. Its presence and application are not limited to the professional environment but are woven into all aspects of an individual's everyday reality. The key research question of this study focuses on analyzing the impact of ICT on employees' work and personal life and on their overall levels of satisfaction. Both positive and negative experiences of ICT use, expectations that come with its use, the degree of dependence on ICT, and its role in interpersonal relationships are examined.The results of the study were obtained using an anonymous online questionnaire distributed between June 10th and 20th, 2023, to a random sample of employees who actively use ICT in their professional environment. It is found that the majority of employees have a positive attitude toward ICT because of its contribution to optimizing communication, supporting global processes, and enabling the acquisition and exchange of information in the context of professional and personal life. Negative effects have also been identified, such as increased pressure on work performance, reduced personal interaction, limited time for family life, blurring of boundaries between work and personal life, dependence on ICT, and disruption of work processes.The research contributes to an in-depth understanding of the impacts of ICT on the professional and private lives of employees. Awareness of the positive and negative aspects of ICT use is key to developing guidelines that promote the balanced use of technology and the creation of a supportive environment to improve productivity and the quality of interpersonal relationships.

The developmental process of suicidal ideation among adolescents: social and psychological impact from a nation-wide survey.

Suicidal ideation is a multifactorial phenomenon that is increasingly prevalent among adolescents, especially following the impact of Covid 19 pandemic on their mental health. Its analysis necessitates an interdisciplinary approach that simultaneously considers sociological and psychological perspectives, especially looking at the role of interpersonal relationships and structural inequalities. The present study, based on a face-to-face survey conducted with a representative sample of 4288 adolescents, aims to identify the factors that most differentiate individuals with and without suicidal ideation, proposing a descriptive model of development process of this phenomenon with reference to the Italian context. We analysed variables related to socio-demographic status, relational status, social interactions, and psychological well-being using multiple correspondence analysis and logistic regression models. The results provide evidence for the existence of a direct association between negative psychological status and suicidal ideation but clarify that the psychological aspects are associated with sociodemographic characteristics and have their origins in the social sphere.

Measuring the Empathy of Medical Students in Ahvaz Jundishapuz University of Medical Sciences and Its Relationship With Their Age, Sex, and Religiosity

Background and Objectives Empathy plays a social role in interpersonal relationships, including interactions between doctors and patients. This study aims to investigate the level of empathy in students Ahvaz Jundishapur University of Medical Sciences (AJUMS) and its relationship with age, sex, and religiosity. Subjects and Methods In this cross-sectional descriptive study, participants were 361 AJUMS students, who were selected using a convenience sampling method in 2020. Jefferson scale of empathy and Glock & Stark religiosity scale were used to collect data. Data were analyzed using an independent t-test, Pearson correlation test, and linear regression. Results The mean total empathy score of students was 106.42±14.82, and their mean total religiosity score was 57.04±14.19. A statistically significant relationship was observed only between empathy and the emotions dimension of religiosity (r=0.125, P=0.018). No significant relationship was observed between empathy and the total score of religiosity and its other dimensions. The mean empathy score in female students was significantly higher than in male students (109.15 vs. 103.02, P˂0.001). Regression analysis results showed that the emotions dimension of religiosity, age, and sex were able to predict the level of empathy in students. Conclusion The empathy in AJUMS students is at a relatively favorable level, and has a positive significant correlation with the emotions dimension of religiosity in them. It is recommended to develop plans to strengthen the empathy of medical students and include an educational course in their curriculum so that they be able to improve the mental and spiritual health of patients.

Living with Schizophrenia: the role of interpersonal relationships

People with a chronic condition such as schizophrenia encounter significant challenges interacting with their immediate environment. However, there is little data exploring interpersonal relationships between people living with schizophrenia and their families and healthcare providers, particularly in developing countries. This study investigated the interpersonal relationship experiences of persons with schizophrenia in Southern Ghana. The study adopted a descriptive phenomenological approach using the purposive sampling technique to recruit nine (9) persons living with schizophrenia. Data were collected using semi-structured in-depth, face-to-face interviews and analysed using a descriptive phenomenological data analysis framework. Five themes emerged; three described positive interpersonal relationships, and two negative interpersonal relationships existed in participants with schizophrenia. The study revealed a poor interpersonal relationship between study participants and the public. Stigma was implicated as a factor responsible for the negative interpersonal relationships between study participants and people outside their immediate families.

Exploring Emotion Recognition Patterns Among Iranian People Using CANTAB as an Approved Neuro-Psychological Assessment.

Emotion recognition is the main component of social cognition and has various patterns in different cultures and nationalities. The present study aimed to investigate emotion recognition patterns among Iranians using the Cambridge neuro-psychological test automated battery (CANTAB) as a valid neuropsychological test. In this descriptive-analytical study, 117 males and females (Mean±SD of age 32.1±6.4) were initially assessed by computerized intelligence and progressive matrices of RAVEN-2. Furthermore, the excitement recognition subtest taken from the Cambridge neuro-psychological test automated battery (CANTAB) was performed. The correct response of participants to each of the six basic emotions as well as the recognition time was used for analysis. The maximum correct response rate was 75.83% related to happy emotion. The correct responses for sadness, surprise, disgust, anger, and fear were 70%, 68.48%, 47.84%, 42.54%, and 38.26%, respectively. Moreover, the shortest recognition time was related to disgust at 322 ms, while sadness with a mean response time of 1800 ms and fear response time at 1529 ms indicated the longest recognition time. In addition, participants recognized happiness with a mean response time of 1264 ms better than other emotions; however, post-hoc t-test analyses showed that only the correct responses for sadness and surprised emotions did not differ significantly, (t(112)=-0.59, P=0.55, d=0.05). These results suggested that different emotions have various correct responses. However, sadness and surprise did not differ. The findings of this study could be beneficial for evaluating cognitive elements, as well as cognitive abilities and inabilities among the Iranian population. Moreover, the findings could be used for investigating social cognition in this population. Emotion recognition patterns among Iranians were investigated using a valid neuropsychological test.Iranians showed higher accuracy in recognizing happiness and lower accuracy in recognizing fear.Disgust was recognized with the shortest response time, while sadness and fear had the longest recognition time.The findings highlight cultural differences in emotion recognition and can aid in evaluating cognitive abilities and social cognition in the Iranian population.The study emphasizes the importance of considering cultural factors in assessing and understanding emotion recognition. Understanding how people recognize emotions is crucial for effective communication and building social connections. However, the ability to recognize emotions can vary across cultures. This study aimed to investigate how Iranians recognize emotions using a reliable test. The researchers assessed 117 Iranian adults, both males and females, using a computer-based test. Participants were asked to identify six basic emotions (happiness, sadness, anger, disgust, fear, and surprise) displayed on a screen. The researchers measured the participants' accuracy in identifying each emotion and the time it took them to recognize it. The findings revealed that Iranians were most accurate in recognizing happiness and least accurate in recognizing fear. They were better at identifying positive emotions like happiness and surprise compared to negative emotions like disgust and anger. Participants took the least time to recognize disgust and the longest time to recognize sadness and fear. These results show that Iranians have specific patterns in recognizing emotions, which can be influenced by cultural factors. Understanding these patterns is important for assessing cognitive abilities and social cognition in the Iranian population. Moreover, these findings have broader implications. They highlight the need to consider cultural differences in emotion recognition, as it can impact communication and social interactions. The study's outcomes can be valuable for various applications. For instance, they can aid in developing tests to assess emotion recognition difficulties in individuals with conditions such as autism or schizophrenia. Furthermore, these findings can be useful for professionals, such as employees in customer service or mental health providers, who need to accurately interpret others' emotions. By shedding light on cultural variations in emotion recognition, this research contributes to our understanding of human emotions and their role in interpersonal relationships.

Friends Interrupted: How Reunions after Social Separation Motivate Physically Transformative Consumer Behavior

The COVID-19 pandemic forced large-scale social separation in a way not previously seen in modern societies. Though painful for many, this experience offers us the opportunity to learn about the way that consumption changes in the face of such social separation. In this article, we report three studies revealing that the greater the length of social separation, the more likely people are to perceive their reunion as an opportunity to refresh the impressions that others hold of them. In turn, the likelihood to engage in physically visible transformative behavior increases. Not only does this research help us to better understand the direct effects of COVID-19-related separation, but it also highlights an undocumented effect of lengthy social separation in general, implying the need to learn more about such experiences. Furthermore, results identify a new trigger for “fresh start” effects, showing their potential to play a role in interpersonal relationships.

Enhanced Automatic Recognition of Human Emotions Using Machine Learning Techniques

Emotion recognition plays an increasingly significant role in interpersonal relationships. Research on emotion recognition is the most active within the area. Therefore, there are many different techniques for recognizing human emotion. The majority of the time, one's emotions can be expressed through speech, hand movements, or physical gestures. Facial expressions are used to convey most emotions. The recognition of facial expressions is largely dependent on facial expressions. The identification of human emotions has been extensively studied, but there are no effective techniques that can identify them correctly. In order to overcome this problem, the proposed method implements a real-time emotion recognition system by using machine learning.