Personal Communication Research Articles

The use of Artificial Intelligence in the restaurant business

The study aimed to explore how artificial intelligence (AI) is applied in the restaurant industry, particularly in enhancing operational efficiency, personalizing customer interactions, and predicting demand. Using qualitative methods, interviews were conducted with industry experts in Odesa, Ukraine, including professionals from major chains and a case study with a Ukrainian chef. Findings revealed that global brands like McDonald’s, Starbucks, and Marriott use AI for demand forecasting, offer personalization, and streamlining communication. Chef Yevhen Klopotenko’s use of AI to prepare a gourmet dinner showcased its innovative potential in cuisine. The research enriches the existing literature on AI in hospitality with practical examples, offering valuable insights for industry professionals. It highlights the significance of AI in predicting demand and automating customer interactions to boost efficiency. The originality of the study lies in its analysis of AI applications and its comprehensive list of AI tools for content generation. However, the qualitative focus and regional scope limit generalizability, suggesting future research could broaden to include other regions and quantitative methods.

Sustainable Food Revolution: The industry 5.0-Permission Marketing Convergence

The integration of Industry 5.0 technologies and permission marketing offers transformative opportunities for advancing sustainable practices in various industries, including food production. Industry 5.0 emphasizes human-machine collaboration, leveraging robotics, AI, IoT, and blockchain to enhance efficiency, transparency, and sustainability. Permission marketing complements these technologies by fostering trust and consumer engagement through opt-in communication, transparency, and personalization. In sustainable food production, Industry 5.0 enables precision agriculture, optimized supply chains, and waste minimization. Key technologies such as IoT sensors and AI-driven analytics provide actionable insights for resource conservation, while digital twins and predictive analytics streamline operational planning. Blockchain ensures traceability and accountability, empowering consumers with verifiable information about sourcing and sustainability practices. Moreover, renewable energy integration further underscores the environmental responsibility of Industry 5.0 by reducing carbon emissions and promoting energy efficiency. Permission marketing enhances these efforts by creating platforms for transparent, personalized communication with stakeholders. Opt-in systems and tailored messaging build trust, while educational campaigns empower consumers to make informed choices about sustainable products. Feedback mechanisms foster collaboration, aligning sustainability initiatives with stakeholder expectations. The convergence of Industry 5.0 and permission marketing not only addresses environmental challenges but also aligns with evolving consumer expectations for ethical practices. This integrated approach fosters trust, optimizes resources, and strengthens stakeholder relationships, presenting a robust framework for achieving long-term sustainability goals. Embracing these innovations is essential for creating resilient systems that balance productivity with ecological and societal responsibility.

Advancements in Arabic Sign Language Recognition: A Method based on Deep Learning to Improve Communication Access

This research anticipates the issue of real-time sign language recognition as a means of facilitating the daily communication of the hearing-impaired persons. Improvement in the rate of real time sign language recognition will help in boosting interaction in the society and access to services for the hearing-impaired persons. This paper outlines a step-by-step guide on fine tuning an object detection model for the AASL using the SSD architecture. The AASL dataset which includes total of 7,857 samples of more than 200 patients are first preprocessed where the images are scaled, normalized, and augmented. In SSD model, the base of the network is the VGG16 network and few extra layers for feature extraction and for auxiliary and prediction of objects are added. Particularly in object detection, Intersection over Union (IoU), and mean Average Precision (mAP) are used in addition to the confusion matrix metrics comprising accuracy, precision, recall, and F1-score. The proposed model provides good recognition accuracy of 98 percent. This feature checks its capability of real-time identification of sign languages and shows 25% efficiency. The efficiency of the proposed method is explained when comparing the results of the modified VGG16-based SSD with other methodologies. As for the improvement of communication for the hearing-impaired individuals, the present work demonstrates that the deep learning methods can be significantly effective; however, suggesting that more research efforts should be directed to real-time solutions and that the datasets should be expanded.

The Progression of Natural Language Processing: A Journey from Syntax Parsing to Deep Sentiment Analysis

The field of Natural Language Processing (NLP) has made progress moving beyond basic syntax analysis to delve into complex sentiment understanding and more. This significant evolution has empowered machines not to analyze and comprehend language structures but also to interpret and respond to the emotional nuances and contexts conveyed by humans. The evolution of NLP has seen a series of innovations that have bridged the gap between human language expression and artificial intelligence enabling interactions between humans and computers. This piece explores the milestones in NLP development the technologies driving its progress and its practical applications across various industries. By highlighting NLPs capabilities, such as automating customer service aiding real time decision making and enabling personalized communication this article emphasizes NLPs crucial role, in pushing the boundaries of technology and society forward. Keywords: Natural Language Processing, Syntax Parsing, Sentiment Analysis, Machine Learning, AI Applications

Personal Communication in an Automated World: Evidence from Loan Repayments

Personal Communication in an Automated World: Evidence from Loan Repayments

Awareness of Pakistani academic librarians towards communication skills: barriers and benefits

Purpose The purpose of this study is to measure the current levels of awareness of communication skills among academic librarians in degree-awarding institutions of Pakistan and to identify barriers that libraries, with the support of organizational stakeholders, could target to enhance adoption and / or improvement of these skills. Design/methodology/approach Quantitative research design, based on a Web-based survey method, used a questionnaire as the data collection tool for librarians used in degree-awarding institutions in Pakistan. After incorporating feedback from experts in the field, the questionnaire link was shared with a sample population of n = 400 academic librarians in Pakistan, using simple random sampling. The data was coded in Microsoft Excel and exported to SPSS v 26 for analysis. Findings Overall, the findings underscore a consistent and moderate to high level of awareness by this cohort of basic library communication skills and their associated benefits. The level of agreement as to the principal barriers to these skills aligns with previous research results over the past decade and therefore underlines the need to prioritize the development of appropriate solutions. Research limitations/implications Further research is indicated to investigate the major factors contributing to the principal barriers identified in the current study. Practical implications The study recommends that librarians work with relevant stakeholders to identify strategies to enhance their personal and interpersonal communication skills and to address current barriers to upskilling. Originality/value The study could serve as a foundation for any future research and policy frameworks to enhance employability and communication skills among librarians in Pakistan.

Parental rules and child age as moderators in the relationship between screen time and perceived sleep problems in children aged 6–18

ABSTRACT Objective Child sleep problems are commonly reported by parents of children aged 6–18 years, with a growing body of evidence describing the link between children’s screen time and parental perceived child sleep problems. Using cross-sectional data, representative of the Victorian population, this study explored whether the relationship between screen time and parental perceived sleep problems differed across child age groups. It also examined whether parental rules moderated this relationship differentially between primary school-aged children and adolescents. Method Participants were 1699 parents living in Victoria with children aged 6 to 18 years who were recruited to complete a computer assisted personal communication through random dialling of mobile and landline numbers. Results Results indicated that more screen time was associated with more parental perceived sleep problems, with parental rules moderating this relationship for primary school-aged children but not for adolescents. Contrary to expectations, the relationship between screen time and parental perceived sleep problems did not differ across child age groups. Conclusions Results suggest that parental rules on media device use may be an instrumental factor in the development of successful intervention programmes for primary school-aged children. Further implications of these findings and suggestions for future research are discussed.

The use of peer questioning in foreign language classes at university

Students currently studying at universities are representatives of generation Z, who have been accustomed and adapted to communication online since childhood using instant messengers and smartphone applications. In the age of digital technology, one of the pressing tasks in educating the younger generation is teaching them personal communication. The aim of this research is theoretical substantiation of the importance, description of the practice of application and experimental test of the peer questioning technique in foreign language classes with information technology students. Peer questioning refers to techniques used as interactive methods of teaching a foreign language. Interactive learning is a mandatory requirement of the Federal State Educational Standard for higher professional education of the latest generation. The main results of this work were: the structure design, the preparation stages, methodology for conducting and evaluating the technique of peer questioning of lexical material as a form of teaching a foreign language to students the of Mathematics and Information Technologies Institute at the Federal State Autonomous Educational Institution of Higher Education «Volgograd State University». The paper describes the main features of conducting a peer questioning and its advantages in the development of professional foreign language competence of students. Methods such as review and theoretical analysis of scientific literature, generalization of scientific information, and experimental method were used as research tools. As a result of the study, the use of peer questioning technique was proposed as one of the forms of interactive teaching a foreign language, which contributes to more effective learning of scientific and technical terminology.

AI IN COMMUNICATION

Artificial Intelligence (AI) is changing how we interact, providing new levels of efficiency, personalization, and innovation in communication. From chatbots and virtual assistants to advanced language processing and instant translation, AI tools are transforming both personal and professional communication. Through the use of machine learning algorithms and extensive data sets, AI can interpret and respond to human language with remarkable accuracy. This transformation enhances customer service, streamlines workflows, and bridges language gaps, fostering deeper connections in our increasingly interconnected world. As AI continues to advance, its influence on communication will redefine how information is shared and relationships are built. KEY WORDS: Artificial Intelligence, communication, Real-time translation.

Allostatic load modelling, lifestyle and cardiological risk factor: evidence for integrating patient profiling in the optimisation of pharmacological therapies during follow-ups in hospital setting – PLAY-UP cohort study protocol

IntroductionThe allostatic load (AL) is a framework for conceptualising the physiological multisystemic impact of prolonged exposure to stress and its related side effects on mental health.Stress due to AL can...

Swedish female and male general surgeons differ in personality traits.

Evidence suggests that female surgeons achieve comparable or even more favorable outcomes than male surgeons. It is currently unclear what factors contribute to these potential differences. Possible explanations might be differences in personality traits, communication style, attitude, and risk-taking behavior. This cross-sectional study aimed to examine disparities in personality traits between male and female general surgeons in Sweden. The research was conducted as a cross-sectional study of personality traits. Between August 29, 2022, and December 15, 2023, Swedish specialists in general surgery were invited to participate in an online survey. The survey, assessed with the Big Five Inventory, collected information on self-reported surgeon gender, years in practice, employment data, and differences in personality traits. The analysis encompassed responses from 223 Swedish general surgeons: 121 (54%) males and 102 (46%) females. In contrast to female surgeons, male surgeons were older and had longer surgical experience. A higher proportion of male surgeons were employed in rural hospitals. Higher mean scores were observed in all personality traits among female surgeons. The adjusted analysis showed significantly higher scores for conscientiousness (p < 0.001), extraversion (p < 0.001), agreeableness (p = 0.006), and neuroticism (p < 0.001); however, no such change was observed for openness. This cross-sectional study demonstrates that Swedish female and male surgeons differ in personality traits. The implications of these results could lead to a deeper understanding of the variations in surgical outcomes based on the gender of the surgeon.

Revolutionizing Communication for Children with Autism Spectrum Disorder through Generative AI

This article explores the potential of Generative Artificial Intelligence (GenAI) in supporting communication for children with Autism Spectrum Disorder (ASD). With the prevalence of ASD increasing, there is an urgent need for innovative interventions. The article discusses how GenAI can offer personalized, adaptive communication tools that interpret social cues, simplify language, and provide real-time support. It examines the key benefits of GenAI in ASD support, including personalized communication assistance, enhanced learning experiences, and data-driven intervention planning. The article also delves into GenAI-enabled conversation tools, explaining their mechanisms and potential impact. Finally, it addresses the ethical considerations and challenges associated with implementing these technologies, emphasizing the need for a multidisciplinary approach in their development and deployment.

Communication Apprehension in the Workplace: The Role of Position and Facilitation Skills

Communication apprehension (CA) is widely recognized as a significant inhibitor of communication and performance, making its management crucial. This study explored the connections between gender, managerial status, communication frequency, and discussion skills in explaining CA in the Japanese working population ( N = 300). Our findings suggest that facilitation skills explain CA better than personal attributes or communication frequency and that the gender difference in CA was only observed in nonmanagers. We discuss the implications of our findings for research and education.

Pertanggungjawaban Penyedia Jasa Telekomunikasi Atas Kerugian Daur Ulang Nomor SIM Card di Kota Gunungtua Perspektif Maslahah Mursalah

The practice of recycling SIM card numbers by telecommunications providers often results in losses for existing customers, such as misuse of personal data and communication disruptions. This research aims to identify the types of losses experienced by customers due to the recycling of SIM card numbers and to analyze the accountability of telecommunications service providers for the losses incurred from the recycling of SIM card numbers from the perspective of Maslahah Mursalah. This type of research is empirical legal research with a living case studies approach, a statute approach, and a conceptual approach. Data is collected using interviews and document studies. The data is then processed and analyzed using qualitative methods. The results of this research indicate that the practice of recycling SIM cards in Gunungtua city leads to losses such as financial losses, reputational damage, and privacy breaches. In the perspective of maslahah mursalah, customers feel that the recycling of the number does not provide them with benefits compared to the operators who gain many advantages and profits. A review of the maslahah mursalah concerning the practice of recycling SIM card numbers indicates that if the harms outweigh the benefits, then it is not permissible. Furthermore, telecommunications service providers must be held accountable for any losses experienced by customers due to the practice of recycling SIM card numbers.

O IMPACTO DA IMPLEMENTAÇÃO DO MARKETING DIGITAL NO DESEMPENHO DE PEQUENAS EMPRESAS

This paper explores the strategic impact of digital marketing on small businesses, emphasizing the relevance of tools such as SEO (Search Engine Optimization), content marketing, and social media for strengthening online presence and competitiveness in the market. With the advancement of digitalization, these businesses have found digital marketing to be an accessible way to enhance their visibility, reach new audiences, and increase engagement with consumers, often more effectively and economically than traditional methods. The study highlights the importance of SEO for improving positioning in search engines, allowing small businesses to become more visible to their target audience. Additionally, content marketing emerges as a crucial tool for attracting and retaining customers, fostering trust and credibility through relevant and informative materials. The strategic use of social media is another central point, enabling direct and personalized communication with consumers, as well as offering opportunities for partnerships with influencers. These platforms allow companies to interact more authentically and engage their audiences in real-time, strengthening customer relationships and promoting loyalty. Thus, digital marketing, with its various facets, presents itself as a fundamental element for the growth and success of small businesses in today’s digital economy.

Nudging with Narrative Visualization: Communicating to a Young Adult Audience in the Pandemic

Effective narrative visualization communicates information by integrating story-telling and data visualization in a comprehensible, compelling manner. The compelling aspect of effective narrative visualization consequentially results in the potential to shift the attitude of an audience. However, there is much to understand about how narrative visualization can best be designed to influence target audiences. This paper focuses on an empirical experiment where we examined the effects of two communication strategies - anthropomorphism and personal identification - on a young adult audience. In particular, we wanted to understand which strategy, when integrated into narrative visualization, can nudge a specific audience's attitude towards greater consideration in the context of the COVID-19 pandemic. Our results indicated that the personal identification communication strategy was the most successful in nudging participants. This study contributes a better grasp of how technologies such as narrative visualization, using different communication strategies, can deliver more targeted messaging.

Incel Perpetrated Violence: Distal and Proximal Risk Factors and Pathways

ABSTRACT The current study sought to answer the research question, “what are the pathways and risk factors associated with misogynist incel-perpetrated violence against women?” using a novel root cause analysis methodology. Four (N = 4) cases were examined. Data collected included official records and investigations (e.g. police reports, autopsy records), personal communications (e.g. manifestos, online postings), and public sources (e.g. news reports, academic articles). Cases were initially reviewed, and risk factors and pathways were identified. These included: social isolation; alt-right/conservative views; significant online presence; narcissism; legally purchased firearms; history of psychotropic medication use; previous/current suicidal intent; bullying; history of mental illness; lack of familial engagement/concern; and law enforcement/legal involvement. Results indicate similarities between violent misogynist incels which may assist in the development of targeted violence prevention and deradicalization efforts, as well as further our understanding of the factors that lead one to identify with the misogynist incel subculture.

A new life with a new language: Russophone immigrants' reflections about language learning.

This research investigates resilience and lived experiences of transnational Russophone families amidst global changes, with a focus on the intricate dynamics of communities spread across borders. The study emphasizes the importance of considering individual migrant experiences in understanding language learning and integration. We explored perceptions of local language proficiency among Russophones; challenges faced by adult Russophones in learning a new language; attitudes and experiences of adults regarding language learning; and strategies Russophone immigrants use to address gaps in the target language. Methodologically, the research employs ethnographic and thematic analyses, drawing on a diverse array of sources including interviews, social media posts, and personal communications. This approach highlights the necessity of considering both prompted responses and spontaneous discussions to capture authentic opinions on language learning from various perspectives. The study underscores the interconnectedness and interdependence within transnational families, illustrating how their lives are shaped by factors that transcend national boundaries. The examination of their diverse experiences reveals their capacity to endure and overcome challenges of integrating into new societies. Russophone migrants' attitudes toward language learning highlight how learning the host country's language enhances integration and social mobility, while maintaining the native language preserves cultural heritage, although second-generation immigrants often feel disconnected from their linguistic roots. Studies by various authors discuss challenges which immigrants face when adapting to a new linguistic environment. This project emphasizes the impact of language learning on identity and reveals cultural flexibility in attaining social justice in multicultural contexts. These insights suggest that language programs and policies should address both the practical needs of immigrants and the preservation of their cultural identities taking into account their naïve views about language learning.

Blended Learning to Enhance Productive Skills

Blended learning, an educational strategy that blends traditional face-to-face teaching with online learning components, provides a dynamic way to improve productive skills like speaking and writing. This hybrid model takes advantage of the qualities of both in-person interactions and digital resources, allowing students to benefit from the rapid feedback and personal engagement of classroom settings while having access to various flexible online tools. Blended learning promotes more personalized and effective communication skill development by incorporating interactive digital platforms, virtual practice opportunities, and automated feedback mechanisms. This technique fits various learning styles and paces and gives a more comprehensive, adaptable educational experience. Finally, blended learning fosters enhanced mastery of productive skills, giving learners the confidence and aptitude to communicate in varied circumstances successfully.

A conceptual framework for integrating digital transformation in healthcare marketing to boost patient engagement and compliance

This paper presents a conceptual framework for integrating digital transformation in healthcare marketing to enhance patient engagement and compliance with treatment regimens. As healthcare systems evolve, the adoption of digital technologies has become imperative for fostering meaningful interactions between patients and providers. The proposed framework emphasizes leveraging digital marketing techniques, data analytics, and personalized communication strategies to strengthen patient-provider relationships and improve health outcomes. At the core of the framework is the use of digital marketing techniques, including social media outreach, content marketing, and mobile applications, to reach patients effectively. These tools facilitate the dissemination of vital health information and resources, enabling patients to make informed decisions about their care. By utilizing data analytics, healthcare organizations can gain insights into patient behaviors, preferences, and demographics, allowing for the customization of marketing efforts to meet the specific needs of diverse patient populations. Personalized communication strategies are pivotal in this framework, as they empower healthcare providers to deliver tailored messages that resonate with individual patients. This personalization fosters a sense of connection and trust, encouraging patients to engage actively in their treatment plans. By utilizing patient data, providers can send reminders, educational content, and motivational messages that enhance treatment adherence and compliance. Moreover, the framework addresses the importance of feedback loops, where healthcare organizations continuously gather and analyze patient responses to marketing efforts. This iterative process allows for the optimization of strategies, ensuring they remain effective and relevant over time. By fostering a culture of engagement, organizations can cultivate long-term relationships with patients, ultimately leading to improved health outcomes. In conclusion, this conceptual framework serves as a strategic guide for healthcare organizations aiming to harness digital transformation in their marketing efforts. By integrating digital marketing techniques, data analytics, and personalized communication strategies, organizations can enhance patient engagement, improve treatment adherence, and positively impact overall health outcomes.