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In rural areas, neighborly relationships are complex, and farmers' behaviors are largely influenced by neighborly interactions. The promotion of agricultural technologies should not overlook the social interactions between farmers. Based on survey data from farmers in Minqin, China, this paper explores the role of overall social interaction and its various dimensions in farmers' adoption of water-saving irrigation technology, focusing on the testing of three interactive mechanisms during the technology adoption process. The goal is to provide scientific policy suggestions for government when promoting agricultural technologies. The results show the following: social interaction promotes the adoption of water-saving irrigation technology among farmers; among the four dimensions of social interaction, the depth and frequency of social interaction facilitate the adoption of these technologies; social interaction promotes technology adoption through endogenous interaction mechanism, situational interaction mechanism, and social norm mechanism, with situational interaction mechanism and social norm mechanism playing a more significant role; social interaction has a stronger impact on farmers with longer farming experience and higher irrigation costs. Therefore, the government should emphasize the important role of social interaction in the adoption of agricultural technologies and accelerate the diffusion of these technologies through fostering technical exchanges among farmers, cultivating demonstration households, and implementing differentiated promotion strategies., (© 2024. The Author(s).)

Suicidal thought and behavior (STB) is highly stigmatized and taboo. Prone to censorship, yet pervasive online, STB risk detection may be improved through development of uniquely insightful digital markers. Focusing on Sanctioned Suicide, an online pro-choice suicide forum, this work derived 17 egocentric network features to capture dynamics of social interaction and engagement within this uniquely uncensored community. Using network data generated from over 3.2 million unique interactions of N = 192 individuals, n = 48 of which were determined to be highest risk users (HRUs), a machine learning classification model was trained, validated, and tested to predict HRU status. Model prediction dynamics were analyzed using introspection techniques to uncover patterns in feature influence and highlight social phenomena. The model achieved a test AUC = 0.73 ([0.61, 0.85], 95% CI), suggesting that network-based socio-behavioral patterns of online interaction can signal for heightened suicide risk. Transitivity, density, and in-degree centrality were among the most important features driving this performance. Moreover, predicted HRUs tended to be targets of social exchanges with lesser frequency and possessed egocentric networks with "small world" network properties. Through the implementation of an underutilized method on an unlikely data source, findings support future incorporation of network-based social interaction features in descriptive, predictive, and preventative STB research., (© 2024. The Author(s).)

MicroIC enables display attributes unattainable from polycrystalline thin‐film transistors, and the complimentary metal‐oxide semiconductor (CMOS) microICs support a wide range of applications beyond driving pixels. Integrating sensors within displays can add value to products, reduce costs and improve performance versus conventional solutions. As evidenced by touch and display integration in mobile displays via TDDI ICs, in‐cell sensing can reduce cost and improve performance to levels that are not available with all display types. Capacitive touch, optical touch, 3D scanning, and proximity sensing can also benefit from the inherent coordination between sensors and display. We present multiple sensing architectures and demonstrations of integration within microLED displays and describe CMOS microIC circuits for touch sensing applications. With diverse heterogenous semiconductor technology tightly woven into displays, the potential for intuitive gesture controls, adaptive interfaces, and enhanced sensory feedback paves the way for more natural and effortless interactions between humans and machines. [ABSTRACT FROM AUTHOR]

Metadiscourse is the commentary on a text made by its producer in the course of speaking or writing, revealing something of how communication involves the personalities, attitudes and assumptions of those who are communicating. It offers a framework for understanding communication as social engagement and helps reveal how writers and speakers consider their audience in creating texts. This paper uses a bibliometric analysis to trace the growing interest in metadiscourse since its early incarnations in the 1980s. To do so we analysed all 431 papers relating to metadiscourse in the core collection of the Web of Science between 1983 and 2020, dividing the corpus into two periods following the massive increase in interest after 2006. We identify which topics have been most prevalent, which authors and publications most influential and which disciplines and journals most active in citing the metadiscourse literature. The findings show the importance of academic and business writing, cross-disciplinary, language and genre studies, and the increasing predominance of an interpersonal model. These findings may be of interest to those working in discourse analysis and the study of social interaction. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs). Design/methodology/approach: To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework. Findings: Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions. Research limitations/implications: There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today. Originality/value: This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies. [ABSTRACT FROM AUTHOR]

Purpose: While exploring the information experience within multispecies families, the subjective nature of humans and non-human entities, living beings and non-living objects becomes evident. This paper aims to reveal the underlying significance of information within socio-physical living environments shared among humans, cats and dogs as companions. Design/methodology/approach: Gaining inspiration from the information experience approach and posthumanism, this is a phenomenological paper. Empirical material related to lived experiences of participating families were gathered through multispecies ethnography methods, followed by phenomenological reflections. The paper has been written based on excerpt-commentary-units and the inclusion of videos and images as an approach to convey the richness of the lived experiences and multiple perspectives. Findings: Findings are organised into three main sections, each capturing lived experiences of information and its utilization from various frames. The paper shows how living beings, both human and animal, use their physical, sensual and moving bodies to acquire and convey information to and from each other. Moving beyond the living beings, the study discusses how non-living objects in the physical environment of a multispecies family also shape information. Material objects, spatial locations and even plants became sources of information for the family members. Lastly, the paper delves into the social environment of the family, where all members, human and animal, are actively shaped by information within their social interactions and companionship. Originality/value: Considering information distributed across species and material objects in a shared, more-than-human environment, the article suggests implications for an information experience approach. It emphasizes how information shapes the in-between humans, animals and their environment, highlighting their reliance on each other for understanding and living a good shared life. There is a need for future research to explore the information experience within the internal subjective minds of members of multispecies families, bridging the gap in the understanding of these external information and their internal information processes. [ABSTRACT FROM AUTHOR]

Play involves diverse meaning-making for young children and grandparents. This paper derives from a larger intergenerational family practices project conducted in Australia during 2021–2022 against the backdrop of the COVID-19 pandemic. The research team undertook intergenerational group interviews and filmed family play activities in addition to collecting videoclips and photos of young children's play from six families. In this paper, vignettes from two families are described and given meaning. Rogoff's social learning three planes theory involving the intertwined and interdependent—'personal', 'interpersonal', and 'community'—planes is used to analyse the data. Our findings show the important role that grandparents play in facilitating children's learning including through the creation of linguistic and cultural heritage play spaces. We argue that intergenerational play practices can offer a means to integrate linguistic and cultural experiences in young children's lives by providing a space and time for social interaction and learning. [ABSTRACT FROM AUTHOR]

Why have Singapore's unique developmental state arrangements persisted in a region which has experienced democratic change? This paper argues that this is due to the PAP state's successful legitimation of its unique brand of meritocracy, one which has both competitive and interventionist elements. During the colonial era, a culture of economic meritocracy evolved in a bottom-up process through social and commercial interactions between the British class and Chinese community. This was then transmuted by the PAP's top-down imposition of the institutions and discourses of political meritocracy. This cultural hybrid allows the state to sustain its hegemony in the face of progressive social change. Accordingly, our emphasis on the wider institutional environment within which merit is conceived helps to better illuminate Singapore's challenges of encouraging organic innovation, alleviating social stratification, and opening up its political arena. This paper suggests that the problems in these areas stem not from meritocracy per se, but from the PAP's "monocentric meritocracy" where merit is narrowly defined and singularly imposed in the post-colonial era. [ABSTRACT FROM AUTHOR]

The paradox of predictability refers to situations in which, even in a deterministic universe, a correct prediction of a future action is seemingly impossible because the agent whose action is predicted is determined to act counterpredictively. In a recent contribution to this journal, Victor Gijsbers provides an example of the paradox in which the undecidability of the situation plays an essential role and claims, additionally, that this undecidability is at the root of all examples of the paradox. This paper argues, first, that the latter claim is not correct because there are clear examples of the paradox in which the situation remains fully decidable. The paper argues, secondly, that, because of its reliance on rather artificial conditions and in contrast with examples referring to the physical nature of the predictor, the example presented by Gijsbers, though technically correct, has little relevance for our understanding of the role of (counter-)predictability in the context of human interactions. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the future research direction by utilizing keyword network analysis to analyze topics related to resilience in young children. For this purpose, among the journal papers listed in the Korean Journal Citation Index from 2002 to 2023. The keywords from these papers were extracted, and in-degree and out-degree centrality, betweenness centrality, and networks sociogram were analyzed through keyword network analysis. The findings of this study are as follows: Firstly, in Korean research on resilience of young children, resilience was expressed using eight different terms, and diverse sub-elements were observed accordingly. Secondly, keywords such as selfresilience, which encompasses sub-elements like autonomy, self-control, attachment, concerned behavior, recovery resilience, and resilience, which encompasses sub-elements like resilient competence, relational resilience, and emotional resilience, emerged as important in the analysis. Additionally, crucial keywords associated with young children's resilience included externalizing problem behavior, teacher-child conflict, teacher-child intimacy, pro-sociality, flow, emotion regulation, happiness, playfulness, mothers' parenting efficacy, adjustment to ECEC centers, gender of children, psychological health, and peer interaction. Through this study, we have identified and discussed the key topics related to the resilience of young children, explored the variables influencing their resilience, and examined strategies for enhancing their resilience. [ABSTRACT FROM AUTHOR]

Navigating mobile robots in crowded environments poses a significant challenge and is essential for the coexistence of robots and humans in future intelligent societies. As a pragmatic data-driven approach, deep reinforcement learning (DRL) holds promise for addressing this challenge. However, current DRL-based navigation methods have possible improvements in understanding agent interactions, feedback mechanism design, and decision foresight in dynamic environments. This paper introduces the model inductive bias enhanced deep reinforcement learning (MIBE-DRL) method, drawing inspiration from a fusion of data-driven and model-driven techniques. MIBE-DRL extensively incorporates model inductive bias into the deep reinforcement learning framework, enhancing the efficiency and safety of robot navigation. The proposed approach entails a multi-interaction network featuring three modules designed to comprehensively understand potential agent interactions in dynamic environments. The pedestrian interaction module can model interactions among humans, while the temporal and spatial interaction modules consider agent interactions in both temporal and spatial dimensions. Additionally, the paper constructs a reward system that fully accounts for the robot's direction and position factors. This system's directional and positional reward functions are built based on artificial potential fields (APF) and navigation rules, respectively, which can provide reasoned evaluations for the robot's motion direction and position during training, enabling it to receive comprehensive feedback. Furthermore, the incorporation of Monte-Carlo tree search (MCTS) facilitates the development of a foresighted action strategy, enabling robots to execute actions with long-term planning considerations. Experimental results demonstrate that integrating model inductive bias significantly enhances the navigation performance of MIBE-DRL. Compared to state-of-the-art methods, MIBE-DRL achieves the highest success rate in crowded environments and demonstrates advantages in navigation time and maintaining a safe social distance from humans. [ABSTRACT FROM AUTHOR]

Research suggests that there is a correlation between the characteristics of residents and target areas and the levels and types of crime occurring in cities. However, there is no consensus in the extant literature on the social and environmental characteristics of spaces that influence the occurrence of crime. This paper draws on findings in Makurdi, Nigeria to provide a contextual analysis of the determinants of the spatial patterning of crime. Data on the physical attributes of the built environment, the social characteristics of residents and types of crime were obtained through physical observation and questionnaires. The data were analysed using the regression method. The study found that the major determinants of crime are building and population density, fences, age of residents and the 'age' of residential areas. Some of these determinants are indicators and facilitators of 'eyes on the street', highlighting the importance of formal and informal monitoring of activity spaces in cities. This means that design principles that support formal or informal surveillance of urban spaces like the introduction of outdoor communal spaces to encourage interactions and the development of social networks and the regulation of the types and height of fences could enhance urban safety and security. [ABSTRACT FROM AUTHOR]

Both participation and argumentation (OECD, 2022) are important keywords in educational contexts. While participation is seen as a crucial prerequisite for education and collaborative learning in general, argumentation as a discursive practice serves to convey and negotiate—also school-specific—knowledge. This paper explores repetition in argumentative events as a technique of establishing—or even hindering—participation in terms of alignment and affiliation. It can serve as a strategy for participation by signalling responsiveness and thematic coherence—and thus inclusion. At the same time, however, studies show that repetition can also signal contradiction and rejection—and thus exclusion. So far, we know little about how exactly these functional differences are produced—especially in younger children. Therefore, the paper explores how children use repetition as a resource for negotiating participation in argumentative events. Using authentic data in the form of observations and transcriptions of audio and video recordings from child-child-interactions of 15 Hebrew- and 31 German-speaking children aged 3–6 years, we identify oral argumentative events and investigate different forms of repetitions and their respective relevance for enabling participation. Our results show that, on the one hand, minimal and partial repetitions are used by the children in an inclusive way, creating closeness between the participants. On the other hand, children use complete repetitions more as an excluding technique, displaying misalignment and disaffiliation, in order to challenge and mock each other. The findings suggest that this line of research has significant potential to provide new insights into the formation of social relationships between peers, into the prevention or establishment of participation, which itself is a prerequisite for joint learning, as well as insights into the acquisition of argumentative competence. [ABSTRACT FROM AUTHOR]

Using the events of the HBO series Westworld (2016–2022) as a springboard, this paper attempts to elicit a number of philosophical arguments, dilemmas, and questions concerning technology and artificial intelligence (AI). The paper is intended to encourage readers to learn more about intriguing technophilosophical debates. The first section discusses the dispute between memory and consciousness in the context of an artificially intelligent robot. The second section delves into the issues of reality and morality for humans and AI. The final segment speculates on the potential of a social interaction between sentient AI and humans. The narrative of the show serves as a glue that binds together the various ideas that are covered during the show, which in turn makes the philosophical discussions more intriguing. [ABSTRACT FROM AUTHOR]

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The artifact accompanying the paper "Understanding Developers Well-Being and Productivity: A 2-year Longitudinal Analysis during the COVID-19 Pandemic" provides a comprehensive set of tools, data, and scripts that were utilized in the longitudinal study. Spanning 24 months, from April 2020 to April 2022, the study delves into the shifts in well-being, productivity, social contacts, needs, and several other variables of software engineers during the COVID-19 pandemic. The artifact facilitates the reproduction of the study's findings, offering a deeper insight into the systematic changes observed in various variables, such as well-being, quality of social contacts, and emotional loneliness. By providing access to the evidence-generating mechanisms and the generated data, the artifact ensures transparency and reproducibility and allows researchers to use our rich dataset to test their own research question. This Replicated Computational Results report aims to detail the contents of the artifact, its relevance to the main paper, and guidelines for its effective utilization. [ABSTRACT FROM AUTHOR]

Urban green spaces, encompassing parks, gardens, and natural landscapes, play a vital role in improving the quality of life for city residents. These areas provide environmental benefits such as enhanced air quality, regulation of temperatures, and conservation of biodiversity, fostering a healthier urban environment. Additionally, green spaces offer opportunities for recreation and places for social interaction, which strengthen community unity and individual wellbeing. This study examines literature and case studies to identify factors that influence the efficacy of urban green spaces, stressing the importance of fair and comprehensive access. It also underscores the significance of integrating green spaces into urban planning to develop sustainable, livable cities. By advocating for increased investment in green infrastructure, this paper seeks to educate policymakers, urban planners, and community stakeholders about the critical role of urban green spaces in improving quality of life. [ABSTRACT FROM AUTHOR]

Scholars have demonstrated that common ways of performing charitable food aid in high-income countries maintain a powerless and alienated status of recipients. Aiming to protect the dignity of recipients, alternative forms of food aid have taken shape. However, an in-depth understanding of dignity in the context of food aid is missing. We undertook a scoping review to outline ways in which the dignity of recipients is violated or protected across various forms of food aid in high-income countries. By bringing scientific results together through a social dignity lens, this paper offers a complex understanding of dignity in the context of food aid. The online database Scopus was used to identify scientific literature addressing food aid in relation to the dignity of recipients in high-income countries. The final selection included 37 articles representing eight forms of food aid in twelve countries. Across diverse forms of food aid, the selected studies report signs of (in)dignity concerning five dimensions: access to food aid, social interactions, the food, the physical space, and needs beyond food. Research gaps are found in the diversity of forms of food aid studied, and the identification of social standards important for recipients. Bringing the results of 37 articles together through a social dignity lens articulates the complex and plural ways in which the dignity of recipients is violated or protected. In addition, this review has demonstrated the usefulness of a social dignity lens to understand dignity across and in particular food aid contexts. [ABSTRACT FROM AUTHOR]

Political goals are often sought by groups, whether they be political parties, trade associations, interest groups, or of any other sort. The formalities of modern political systems rely on individual voting, but group identities shape both individual behavior and the workings of government. To build a metaphor from the natural sciences, fluids (groups) are composed of molecules (individuals), but the fluid has properties of its own that affect its motion (actions) and interactions with other fluids (groups). This paper develops a model based on fluid dynamics relationships to explain group interactions based on observable group characteristics. It complements many strands of literature by explaining the circumstances in which existing models are valid, and in which they are incomplete. In so doing, it does not refute any existing models, but links them together and addresses their shortcomings. [ABSTRACT FROM AUTHOR]

Air pollution poses a great danger to human health and economic development, and understanding people's willingness to pay for improved air quality (WTPA) impacts environmental protection. This paper investigates WTPA based on the perspective of subjective well-being (SWB) and analyzes the mediating role of social interaction on the relationship between the two. This paper distinguishes social interactions into online and offline interactions and analyzes whether the mediating effect of the two different interactions on SWB and WTPA exists separately. Using data from the 2018 China General Social Survey (CGSS), we find that SWB has a significant positive effect on WTPA, individuals with higher well-being have higher pro-environmental willingness; there is no age, education level, sex of the person, or regional heterogeneity in the effect of SWB on WTPA; offline social interactions play a partially mediating role between SWB and WTPA, while online social interactions failed to mediate between the two. This paper's policy implication is that improving residents' subjective well-being is both an important development goal and an essential way to resolve the conflict between economic development and environmental protection. [ABSTRACT FROM AUTHOR]

This paper studies the effect of international talent inflow on technological innovation and the influence of the Chinese cultural environment on their relationship. Based on provincial-level data from 2000 to 2012, we construct a static panel data model to explore the effects of international talents on technological innovation and the moderating role of Guanxi culture and social trust in the above relationship. We find that international talent inflow positively impacts technological innovation. Guanxi culture significantly negatively impacts technological innovation and negatively moderates the relationship between international talent inflow and technological innovation. Social trust significantly positively impacts technological innovation and positively moderates the relationship between international talent inflow and technological innovation. The interaction between social trust and Guanxi culture has a significant positive effect on technological innovation. The study shows that different cultural environments have an essential impact on developing international talent's innovation ability. This paper provides evidence for the need to improve China's cultural environment and provides important implications for the formulation of talent policies. Based on this, we suggest improving the talent introduction system, optimizing the relationship culture, and building a good social trust system to promote regional innovation. Plain language summary: In this paper, we found that international talent inflow positively impacts on technological innovation. Guanxi culture significantly negatively impacts on technological innovation and negatively moderating the relationship between international talent inflow and technological innovation. Social trust significantly positively impacts on technological innovation and positively moderates the relationship between international talent inflows and technological innovation. The interaction between social trust and Guanxi culture has a significant positive effect on technological innovation. This study makes several contributions to the literature. First, it enriches the research on the influence of informal institutions in the field of international talents and reveals the boundary conditions for the role of international talents. Second, it deepens the research on the influence of culture with Chinese characteristics and enriches the empirical research on Guanxi culture in management. Lastly, it expands the antecedents of technological innovation. There are some limitations to this study. First, in addition to the negative side of the Guanxi culture, there is also a positive side. This study only uses the time invested by entrepreneurs and corporate entertainment expenses to explore its effect. Therefore, future research can analyze both sides of Guanxi culture. Second, Guanxi culture is just one of China's core cultures. Other cultures such as favor and face are also cross-cultural adaptation issues that international talents must face. It is necessary to discuss them. Third, limited to data availability, the social trust data only covers 7 years. Therefore, more relevant alternative indicators can be sought to verify the results in the future. [ABSTRACT FROM AUTHOR]

This paper investigates the formal, conceptual, and functional characteristics of impoliteness in social media interactions, arguing that face-threatening acts can be viewed as an effective manifestation of social capital if delivered in a way that has potential to grant the user distinction in cyberspace – the process contingent on recognition by some groups and elimination of others. As argued in the following, social capital manifests itself through a distinct habitus that exploits relevant cultural resources specific to social media interactions for the purpose of successful differentiation between spaces and participants in this context. In order to account for the complex, richly intertextual nature of creative impoliteness on social media, the study introduces the concept of "e-mpoliteness," which refers not only to the surface form of the examined instances but also to the plethora of other resources and references that instantiate the habitus of meaning-making in online discourse. [ABSTRACT FROM AUTHOR]

Agile approaches have received acceptance from organisations as effective frameworks for managing complicated projects in rapidly changing situations. This study explores the challenges of agile adaptation in product team motivation that attempted to implement the existing agile adaptation. In order to implement the agile adaptation, the product team needs to make adjustments and collaborate with others. Inadequate procedures and outside factors have been identified as barriers to existing agile adaptation. Although implementing an agile approach has numerous advantages, doing so can be more complex with adaption and modification processes, especially to align with the organisation's working environment, current team motivation, or the effectiveness of current collaboration. These require extensive changes across the team. Intrinsic motivation is crucial for high levels of output and quality. The qualitative method of semi-structured interviews was chosen to focus in-depth on agile practitioners' mindsets and adaptation acceptance who had just undergone agile adaptation experience. Interviews with five experienced agile practitioners in a telecommunications company were conducted to analyse a product team, its dynamics and behaviours, and what has been learned about human interactions, such as motivation and collaboration in the context of agile adaption, conflict, and challenges. This paper found that it is important for an agile product team with multidisciplinary expertise to work towards a common goal, foster team spirit, share the vision, and set clear goals with good collaboration and flexibility in reprioritising the tasks. [ABSTRACT FROM AUTHOR]

Non-speaking autistic individuals grapple with the profound impact of the 'double empathy problem' in their daily interactions with speaking others. This study rethinks the communication challenges faced by non-speaking autistic individuals, challenging traditional approaches that predominantly focus on speech and complex communication devices (AAC). By spotlighting the natural phenomenon of "interactive stimming," a powerful mode of communication among autistic individuals, this study advocates for a shift from a conventional emphasis on speech towards the foundational role of the body in autistic communication. Central to this exploration is the introduction of the Magical Musical Mat (MMM), an innovative interactive environment mapping interpersonal touch to musical sounds. Through a robust mixed-methods approach integrating video-based fieldwork and designbased research, this paper engages three non-speaking autistic children and their mothers in a 5-day empirical intervention. Results reveal significant transformations in parent-child interactions as both parents and children are acquainted with touch in a new environment. Children assert their autonomy, exploring at their own pace, and discovering sensory features of the environment. Notably, the introduction of sound prompts heightened awareness of the stims, leading to diversified and expressive stim movements. Foregrounding interpersonal touch eventually guides parents into their children's sensory activities where parents attune to the stims of their children by joining in and facilitating their expressiveness, co-creating extended, evolving patterns of repetitive cycles. The collaborative stim cycles can be likened to free improvisation, where dynamical coherence between individuals occurs through a blend of stability and active flexibility. By shifting the focus from speech to co-created sensory experiences, this paper sheds light on the value of transformative multisensory environments, envisioning a world where varied modes of communication are valued and embraced. [ABSTRACT FROM AUTHOR]

This study investigates the motivation for learning German as a Foreign Language (GFL) of Hungarian secondary school students, in particular, their extramural activities and the impact of these activities on their learning motivation in second language (L2) acquisition. While much existing research on L2 learning motivation focuses on English, less attention is paid to other languages such as German, despite its economic and cultural importance in Hungary. Utilising Dörnyei's (2005) L2 Motivational Self System framework, this paper explores how extramural German activities, such as interaction on social media, and consumption of German media, contribute to GFL learning motivation and GFL proficiency. Using the quantitative research paradigm, this paper analyses data collected from 546 Hungarian secondary school students assessing their motivation and the frequency of their engagement in different extramural German activities. The results indicate that these activities are generally pursued infrequently, however, certain types, particularly digital and interactive ones, have a positive effect on GFL learning motivation. Gender differences in frequency of engagement in extramural German activities were also found. The pedagogical implications of this paper suggest that the integration of certain extramural German activities into GFL learning may enhance learners' motivation. The article also offers directions for future research to further explore the intricate dynamics of extramural activities and L2 learning motivation. [ABSTRACT FROM AUTHOR]

The emergence of new media in various fields has continuously strengthened the social aspect of social media. Netizens tend to express emotions in social interactions, and many people even use satire, metaphors, and other techniques to express some negative emotions, it is necessary to detect sarcasm in social comment data. For sarcasm, the more reference data modalities used, the better the experimental effect. This paper conducts research on sarcasm detection technology based on image-text fusion data. To effectively utilize the features of each modality, a feature reconstruction output algorithm is proposed. This algorithm is based on the attention mechanism, learns the low-rank features of another modality through cross-modality, the eigenvectors are reconstructed for the corresponding modality through weighted averaging. When only the image modality in the dataset is used, the preprocessed data has outstanding performance in reconstructing the output model, with an accuracy rate of 87.6%. When using only the text modality data in the dataset, the reconstructed output model is optimal, with an accuracy rate of 85.2%. To improve feature fusion between modalities for effective classification, a weight adaptive learning algorithm is used. This algorithm uses a neural network combined with an attention mechanism to calculate the attention weight of each modality to achieve weight adaptive learning purposes, with an accuracy rate of 87.9%. Extensive experiments on a benchmark dataset demonstrate the superiority of our proposed model. [ABSTRACT FROM AUTHOR]

This paper examines the human relationship to technology, and AI in particular, including the proposition that algorithms are the new unconscious. Key is the question of how much human ability will be duplicated and transcended by general machine intelligence. More and more people are seeking connection via social media and interaction with artificial beings. The paper examines what it means to be human and which of these traits are already or will be replicated by AI. Therapy bots already exist. It is easier to envision AI therapy guided by CBT manuals than psychoanalytic techniques. Yet, a demonstration of how AI can already perform dream analysis reaching beyond a dream's manifest content is presented. The reader is left to consider whether these findings demand a new role for psychoanalysis in supporting, sustaining, and reframing our humanity as we create technology that transcends our abilities. [ABSTRACT FROM AUTHOR]

The paper studies the influence of human factor and clinical constraints specific to mechanical devices for medical purpose. environment (with a limited workspace, inside or outside the patient body). A medical robot is usually a complex system including mechanical structure, human-machine interface (HMI), electronic components, and software controller. All these components are integrated to perform various tasks for daily medical applications. Because any failure may become very critical, medical robots must function safely and with high reliability, so that designing medical robots for safe human interaction can be considered a real challenge. In order to respect the clinical constrains, a safety real-time controller has been designed. [ABSTRACT FROM AUTHOR]

Alteroception is the virtual experience of another person's bodily movement centered in the perspective of the other person. In face-to-face interactions, human beings tend to assume a special mode of alteroception by mutually but tacitly recognizing that 'your right is on my left and your left is on my right'. Researchers of neonatal cognition and early childhood development describe this mode of alteroception as "reverse" or "inverted". Inverse alteroception goes beyond mirror-image mimesis to chiastic (crisscrossing) mimesis in acts of intersubjective sense-making; but the cognitive and cultural affordances of this inverse reciprocal ability are largely untreated in the literature. I argue that this unique aspect of human phenomenology deserves closer attention since it enables a broader palette of diagrammatic contrasts that extend far beyond face-to-face interaction. In this paper, I apply insights from Peircean and Greimasian semiotics to argue that salient features of the human lifeworld originate from imaginative mappings of inverse alteroception onto other domains. From diagrams of gesture space and contemporary visual design to the structures of the Proscenium stage, from historic heraldry to Aristotle's logical square of oppositions and beyond, many visual/spatial designs and their reciprocal interaction with human experience are linked to this ability – an ability that owes its origins, in turn, to the evolution of upright posture. [ABSTRACT FROM AUTHOR]

In technology-infused frontline service encounters, human-based service represents a high degree of uncertainty. However, understanding how technology can meet customer demands without undermining the importance of human interaction is crucial for retailers to remain competitive. However, empirical evidence comparing different types of service encounters (technology-facilitated vs. technology-assisted vs. technology-free) is lacking. Building on existing approaches to technology-enabled services, this study aims to extend the understanding of the optimal type of technology infusion and human interaction in the context of customer trust and willingness to pay. Drawing on social interaction theory, emphasizing that technology can influence the nature and quality of interactions between customers and frontline employees, this paper empirically examines different types of service encounters. A quasi-experimental online study (N = 944) was conducted.General results show that technology infusion within the service encounter has a negative impact on customers' trust in the frontline employee, but a positive impact on customers' willingness to pay. Furthermore, a mediating influence of customers' perceptions of the competence of frontline employees can be demonstrated. The results show that customers place more value on a technology-facilitated encounter than on a technology-assisted service. Based on the findings, this paper derives implications for retail managers at various levels. Since the customer's perception of the competence of front-line employees in using a technology is of high relevance to the customer, the retailer should pay more attention to training employees in the use of these technologies in their interactions with customers because of the perception of service competence and other relationship-building criteria such as trust. In addition, the competent use of these technologies and the customer's perception of them can also affect the customer's willingness to pay and thus the success of the business. [ABSTRACT FROM AUTHOR]

3D-Skeleton-based action recognition has been widely adopted due to its efficiency and robustness to complex backgrounds. While it is capable of conveying a significant amount of information regarding the dynamics of human poses, we argue that its performance is curtailed when confronted with actions involving interactions between humans and objects due to the absence of the study of the surrounding objects. It is of great importance to delve deeper into the study of human-object interactions for skeleton-based action recognition. This paper proposes a novel approach to represent the spatial-temporal skeleton features, along with the present nearby objects and their dynamics. To accomplish this, a new formulation named object knowledge is presented, which entails the categorization of object characteristics, based on whether or not the object necessitates a motion analysis. With a piece of prior knowledge, in cases where it is required, the motion is calculated, while for those where it is not necessary, only the category of object is considered. This object knowledge is then early-fusion along with the skeleton representation, in such a way that it fits into the self-attention model. The experimental results on different popular action recognition datasets (NTU RGB+D 60, NTU RGB+ D 120) illustrate that the proposed approach outperforms the current state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Autism is a neurobiological disorder characterized by difficulties in communication, social interaction and repetitive behaviors and a limited range of interests. In this paper we will try to present the possible methods and techniques of communication with children with developmental disabilities, especially focusing on children with autism and on augmentative and alternative communication in relation to children with autism. The general purpose of the paper is the analysis and description of the positive and negative sides of communication and the representation of adequate methods of communication with autistic children. In this study, two samples from the "Alja" Kindergarten in Tetovo, which we have mentioned here as Sample x and Sample y, have been selected, and augmentative and alternative communication has been applied to them, following the changes and the success of the techniques. Methods such as observation, communication and document analysis were used in data collection. In the case of our study, the use of these techniques has been shown to be successful and we can conclude that they are useful for individuals with communication limitations and that their use should be increased. In our work with samples of children based on AAC techniques, they have shown that they are adequate and practical and can be applied in all environments, therefore we think that experts in the field of special education and communication technologies should work in cooperation to expand the use of assistive technologies in the education of children with limited communication. [ABSTRACT FROM AUTHOR]