Interaction Space Research Articles

FazBoard: An AI-Educational Hybrid Intelligent Teaching & Learning System

FazBoard, an avant-garde educational platform, seamlessly integrates artificial intelligence with contemporary educational methodologies to foster a dynamic, adaptive, and collaborative learning ecosystem. The platform’s linchpin comprises two components: an agile digital canvas that simulates interactive teaching and learning spaces, and an AI Assistant, incarnated as a digital humanoid, available round-the-clock for responsive academic support. The digital canvas is designed to cultivate an immersive and versatile environment, emulating the interactions of traditional classrooms without the constraints of time or location. The AI Assistant excels in providing instantaneous responses to queries, aggregating valuable learning analytics, and streamlining administrative tasks - all of which contribute to curriculum refinement and enhanced pedagogical efficacy. Furthermore, FazBoard is aimed at bolstering student engagement by creating an inclusive learning milieu, through adaptive learning strategies that cater to the diverse educational needs of its users. This paper delves into the architecture, functionalities, and far-reaching applications of FazBoard, heralding it as a quintessential model of integrating AI into education, thereby shaping the trajectory of 21st-century educational practices. Keywords: AI assistant, digital canvas, digital transformation, natural language processing, machine learning, instructional design, learning equity, connectedness

The influence of interactive educational space on the professional self-realisation of future art professionals

The influence of interactive educational space on the professional self-realisation of future art professionals

Augmented reality and digital placemaking: enhancing quality of life in urban public spaces

ABSTRACT Public places affect residents’ and tourists’ quality of life. However, stakeholders may struggle to understand these environments’ features. Digital technology has made interactive urban space models possible, enabling more collaborative and inclusive urban planning. Tehran’s Vanak Square neighborhood uses digital placemaking. Augmented reality with interactive markers lets residents influence planning. The integration of augmented reality with emerging technologies is transforming urban environments. The emergence of urban metaverse cyberspaces and the transformation of cities into smart cities through technologies like AR are revolutionizing how residents do business and live, including virtual offices, stores, and tourism. This integration democratizes services, resources, and skills globally without borders, significantly altering the fabric of urban life. Digital placemaking improves public space design and inclusivity, increasing city life. Moreover, integrating concepts like urban metaverse cyberspaces and smart city digital twins can further revolutionize urban living by democratizing services and resources through immersive technologies.

Computational design of highly signalling-active membrane receptors through solvent-mediated allosteric networks.

Protein catalysis and allostery require the atomic-level orchestration and motion of residues and ligand, solvent and protein effector molecules. However, the ability to design protein activity through precise protein-solvent cooperative interactions has not yet been demonstrated. Here we report the design of 14 membrane receptors that catalyse G protein nucleotide exchange through diverse engineered allosteric pathways mediated by cooperative networks of intraprotein, protein-ligand and -solvent molecule interactions. Consistent with predictions, the designed protein activities correlated well with the level of plasticity of the networks at flexible transmembrane helical interfaces. Several designs displayed considerably enhanced thermostability and activity compared with related natural receptors. The most stable and active variant crystallized in an unforeseen signalling-active conformation, in excellent agreement with the design models. The allosteric network topologies of the best designs bear limited similarity to those of natural receptors and reveal an allosteric interaction space larger than previously inferred from natural proteins. The approach should prove useful for engineering proteins with novel complex protein binding, catalytic and signalling activities.

Leveraging City Cameras for Human Behavior Analysis in Urban Parks: A Smart City Perspective

Urban parks enhance urban life by providing essential spaces for recreation, relaxation, and social interaction. However, there is a lack of understanding of how park settings influence usage patterns by socio-demographic characteristics. This study seeks to address this gap by exploring the association between park characteristics and gendered usage patterns across different times of the day. We employed big data analytics and computer vision techniques to analyze human behavior in two urban parks. These parks have comparable environments characterized by shared features, including paths, playgrounds, seating, lawns, greenery, and amenities. One is designed as a linear park, while the other is trapezoid-shaped. The distribution of facilities varies within the parks’ spaces. The key innovation of this approach lies in the use of computer vision for spatial analysis based on user-specific characteristics, particularly gender. City surveillance cameras are leveraged to gather extensive data on park usage. A comparative evaluation of the two urban parks includes a detailed examination of temporal and spatial usage patterns, offering new insights into the dynamics of urban park utilization. Findings reveal specific park features, such as playgrounds and paths, showed varying levels of utilization by different genders, highlighting the importance of tailored urban design. Males favored open lawns with dog facilities, whereas females preferred areas near playgrounds. The application of smart city technologies, such as city cameras, sets the stage for future directions in urban planning and design, highlighting opportunities to integrate advanced analytics into planning practices.

Does anyone still want to go to lectures? Student perceptions of the face-to-face lecture in an Irish university

ABSTRACT Lectures have been part of the University tradition for centuries and remain an integral part of Higher Education in Ireland. However, in recent years the place of the lecture has been questioned, particularly in the aftermath of the COVID-19 pandemic. This study conducted amongst Arts students in the University of Galway sought to establish whether students still valued the face-to-face lecture as part of their University education, and how they felt this learning experience could be enhanced for them in the future. The study revealed a very clear desire amongst students to maintain the face-to-face lecture as a feature of their University education. The reasons cited are related overwhelmingly to the opportunities afforded by the lecture as a social space. Students expressed a strong desire to be able to interact within the large lecture but our findings also showed that students wish to be able to do this in a ‘safe' way. Tools such as the Vevox polling tool were cited as mechanisms to facilitate ‘safe’ participation in the lecture and to comfortably share their opinions and ideas. Above all, our study highlights that future research needs to focus more on developing face-to-face lecture as a safe interactive social space.

Mediated Ekistics: An Urban Communication Perspective

Marshall McLuhan, media theorist, known for his assertion the “medium is the message,” argued technological innovation was the driving force of political, economic and social transformations. This extended to a concern with human settlements, the planning of places and cities. His relationship with Constantinos Doxiadis included participation in the Delos Symposium (1973) and published contributions to Ekistics. In a letter to McLuhan, Doxiadis noted McLuhan’s work was “’essential’ to a reconsideration of human settlements.” Today this relationship takes on greater significance, a fact not unnoticed by those in the field of urban communication, which is an interdisciplinary perspective emphasizing the centrality of communication and technology in the understanding of the urban settlements. Planners, architects, and those studying human settlements recognize that space is the creation of social forces, shaped by the needs and expectations of users who today live in media filled environments. The humans in human-centered design are media dependent if not media addicted. New spatial forms must account for the elevated value people now place on temporal, aspatial proximity at the expense of some degree of physical proximity. This human-technology association encompasses more than smart cities and data-driven solutions. The impact of dematerialized spaces of interaction on design of sustainable settlements needs consideration. This article revisits the relationship of media visionary McLuhan, examines media developments from 1973-2024, and using an urban communication perspective, considers the goals of ekistics in light of what has been called the “reconstruction of space on the basis of digitalization.”

Breast Cancer Histopathological Image Classification Based on Graph Assisted Global Reasoning.

Breast cancer ranks as the most prevalent cancer among women globally. Histopathological image analysis stands as one of the most reliable methods for tumor detection. This study aims to utilize deep learning to extract histopathological features and automatically identify tumor information, thereby assisting doctors in high-precision pathological diagnosis. This study proposes a dual-stream global-local network (DSGLNet) for breast cancer histopathological image classification. The proposed DSGLNet employs a dual-stream feature extraction architecture that leverages a convolutional network to extract local image features and employs graph convolutional mapping to construct a global feature interaction space for capturing global information. By deeply integrating both local and global features, the network achieves precise image classification. Additionally, image preprocessing through feature engineering normalizes image colors and enhances the details of tissue cell boundaries. The proposed DSGLNet model was thoroughly evaluated on the publicly available BreakHis dataset, encompassing different magnification levels for the identification of tumor nature and tumor types. The 40 magnification histopathological images achieved the best diagnostic results, with the identification of tumor nature reaching 0.966 accuracy and 0.973 precision, outperforming other advanced methods.

Selected configuration interaction for high accuracy and compact wave functions: Propane as a case study.

Traditionally, because of the limit of full configuration interaction, complete active space (CAS) theory is most often used to model bond dissociation and other dynamical processes where the multi-reference character becomes important. Inconveniently, the CAS method is highly dependent on the choice of active space and, therefore, inherently non-black-box, in addition to the exponential scaling with respect to electrons and orbitals. This illustrates the need for methods that can accurately treat multi-reference electronic structure problems without significant dependence on input parameters. Selected configuration interaction (SCI) methods have experienced a revival in recent years because of their independence of these predicaments. SCI methods aim to exploit the sparsity of the full configuration interaction space to identify all relevant electronic configurations and, therefore, keep the wave function as compact as possible while still representing the total multi-reference electronic structure accurately. In this work, we take the recent achievement by Gao et al. to run full configuration interaction on the propane molecule in a minimal basis set (23 electrons in 26 orbitals) as an occasion to demonstrate that our SCI methods implemented in the GeneralSCI program package can achieve high energetic accuracy in conjunction with very compact wave functions, which considerably alleviate computational cost. Furthermore, we show the good performance of our SCI methods in reproducing a propane bond dissociation surface and energy. This illustrates that SCI methods can be readily applied to problems in chemical reactivity.

Robust quantum spin liquid state in the presence of giant magnetic isotope effect in D3LiIr2O6

The deuterium isotope effect on the honeycomb iridate H3LiIr2O6, a quantum spin-orbit-entangled liquid, was examined by synthesizing D3LiIr2O6. The structural refinements indicate the different character of the interlayer OH and OD bonds, which results in a giant isotope effect on the magnetic interactions; the antiferromagnetic Curie-Weiss temperature |θCW| of D3LiIr2O6 increases to ~ 170 K from ~ 100 K of H3LiIr2O6. Nevertheless, the quantum liquid state is robust against the deuterium isotope exchange in contrast to the theoretical prediction that the Kitaev spin liquid is stable only for a limited phase space of magnetic interactions. The bond- and site disorders associated with disordered OD(H) bonds, in combination with Kitaev physics, may play a role in realizing the quantum liquid state.

Beyond Tweets: Mass and Group Convergence Communication in Yogyakarta Fandom

Social media has revolutionized communication, creating new spaces for interaction and expression. This study examines the Stray Kids Yogyakarta community on Twitter (@straykids_YK), a fanbase for the South Korean idol group Stray Kids, established in December 2017. Although interaction on Twitter is limited, community organizers try to increase engagement by providing information about upcoming events and joint projects with other fanbase accounts, hoping to increase community awareness. This research, based on qualitative and case study methods, explores the role of the Stray Kids Yogyakarta community through interviews with administrators and community members. The study revealed that the Stray Kids Yogyakarta community thrives through active communication on WhatsApp, Instagram, and in-person meetings, despite limited Twitter engagement. Interviews highlighted that while Twitter needs improvement, the community is vibrant and well-connected, showing strong adaptability and dedication among fans. This indicates the community's ability to maintain robust connections and engagement across multiple platforms.

A Reference Architecture for Virtual Human Integration in the Metaverse: Enhancing the Galleries, Libraries, Archives, and Museums (GLAM) Sector with AI-Driven Experiences

The digital transformation of the GLAM (galleries, libraries, archives, and museums) sector is a multifaceted process that must address a range of requirements and critical challenges, such as traceability, long-term preservation, and sustainability. The potential of disruptive technologies to revolutionize this sector is significant, offering new ways to overcome these challenges and align with the broader objectives of smart cities. While substantial research has been conducted on the digital transformation of the GLAM sector, many opportunities remain unexplored by various stakeholders. This paper contributes to the field by proposing a reference architecture rooted in a design-oriented approach for developing and implementing processes related to the digital transformation within the context of smart cities. To illustrate the practical application of the proposed architecture, a proof of concept was developed in the form of an immersive digital gallery, which features an AI-powered virtual storyteller. The gallery, built using the open, cross-platform, Unreal, incorporates digitized physical art and a virtual metahuman tutor who guides users through the gallery. This interactive 3D environment enables users to explore the space, engage with artworks, and interact with a virtual guide. The environment’s performance was evaluated using a keystroke-level model analysis. Key findings from a pilot study involving 10 users showed that, when directed by the AI storyteller, the average time to locate an artwork was 16.5 s, while the average time to ask a question was 15.8 s. By integrating such technologies, the GLAM sector can contribute to the cultural fabric of smart cities, fostering more sustainable, accessible, and interactive public spaces.

Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks.

Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. The intensification of societal aging and the increase in life stress have led to a growing number of patients suffering from both heart disease and depression. These patients often need to use cardiovascular drugs and antidepressants for polypharmacy, but potential DDIs may compromise treatment effectiveness and patient safety. To predict interactions between drugs used to treat these two diseases, we propose a method named Multi-Drug Features Learning with Drug Relation Regularization (MDFLDRR). First, we map feature vectors representing drugs in different feature spaces to the same. Second, we propose drug relation regularization to determine drug pair relationships in the interaction space. Experimental results demonstrate that MDFLDRR can be effectively applied to two DDI prediction goals: predicting unobserved interactions among drugs within the drug network and predicting interactions between drugs inside and outside the network. Publicly available evidence confirms that MDFLDRR can accurately identify DDIs between cardiovascular drugs and antidepressants. Lastly, by utilizing drug structure calculations, we ascertained the severity of newly discovered DDIs to mine the potential co-medication risks and aid in the smart management of pharmaceuticals.

Research on the Weight of Factors in Interactive Space Experiential Interior Design Based on Environmental Protection and Energy Conservation

Research on the Weight of Factors in Interactive Space Experiential Interior Design Based on Environmental Protection and Energy Conservation

Análise estatística da produção de cana-de-açúcar em diferentes espaçamentos de plantio

Sugarcane (Saccharum officinarum spp.) is a cultivar from the Poaceae family, and its cultivation is a very important socioeconomic factor, with most of its production destined for ethanol and sugar, as well as organic fertilizers and animal feed. The experiment was implemented and conducted between April 2022 and April 2023 in an area located on BR 020, Km 18, where the climate is classified as seasonal tropical, characterized by two well-defined seasons: dry and rainy. The experimental area was prepared for conventional planting, with harrowing and subsoiling. Planting was carried out manually on April 18, 2022; for pre-plant fertilization, a dose of 600 kg ha-1 of NPK was applied to the 04-30-16 formulation throughout the experimental area. The experiment was carried out with 5 varieties of sugar cane as the main treatment, 2 planting spacings being the secondary treatments, and 4 replications in a completely randomized block design (BDC) in a split-plot arrangement. The tested varieties were: V1 - RB867515; V2 - RB966928; V3 - TC4; V4 - RB92579 and V5 - CTC9001. The spacings were E1 - 1.50m x 0.9m and E2 - 1.40m x 0.5m. For varieties, the value of the F statistic (32.83) exceeds the critical value at the 1% probability level (5.41) it is significant at this level (P < 0.01), so we reject the null hypothesis and conclude that the variety effect differs from the productivity effect of the cultivar. For spacing, the value of the F statistic (10.79) exceeds the critical value at the 1% probability level (8.68) it is significant at this level (P < 0.01), so we reject the null hypothesis and conclude that the spacing effect differs from the cultivar productivity effect. For the Interaction (Spacing x Variety), the value of the F statistic (0.70) was lower than the critical value at the 5% probability level (3.06) it is not significant at this level (P > 0.05), therefore the null hypothesis cannot be rejected and we conclude that the effect of the factors spacing and variety act independently on the productivity of the cultivar.

Encounters between Jews and Non-Jews in Prussian Warsaw, 1796–1806

In this chapter I examine how Jewish, Polish, and Prussian residents of Warsaw interacted in the period between the city’s annexation by Prussia in 1796 and its liberation by Napoleon in 1806. Within a short timespan, the new Prussian order created spaces of interaction in which Prussian and Polish elites came together. Driven by their intention to benefit financially from the Jewish population of their recently gained provinces, the Prussians allowed Jewish migration to the former Polish capital. While this new situation created tensions between established inhabitants and newcomers, it also allowed for the development of new forms of coexistence for the Christian and Jewish inhabitants of Warsaw.

Language barriers in emergency ambulance calls for cardiac arrest: Cases of missing vital information.

In medical emergencies, phoning the ambulance service constitutes a high-stakes interaction. Call-takers rely on callers to provide information about the patient so they can promptly recognise the medical problem and take swift action to remedy it. When a language barrier exists between the call-taker and caller, this can add a further challenge, given that third-party interpreters are rarely engaged, especially for time-critical conditions such as cardiac arrest. Research in cardiac arrest calls has found that language barrier calls experience longer delays to critical points such as recognition of cardiac arrest and commencement of resuscitation. This study aimed to understand, in the absence of interpreters, the interactional challenges that emerged in language barrier emergency calls, as parties worked to communicate the nature of the medical problem. Based on a critical conversation analysis approach, we conducted fine-grained analysis of interactions in audio recordings and transcripts of 33 language barrier calls from an Australian ambulance service in 2019. We found that call takers regularly failed to recognise that the patient had a cardiac arrest. Non-fluent-English callers often provided vital information about the patient, which could have led to cardiac arrest recognition by the call-taker, however such information was missed if it was delivered in an unsolicited or atypical way. Opportunities to recognise cardiac arrest were also missed when call-takers did not probe further after such information was provided or did not provide enough interactional space for callers to complete their turns. We found that the main reason for delays in recognising cardiac arrest was a lack of mutual understanding, which most of the time seemed to remain unbeknownst to participants. The study makes recommendations for emergency medical dispatch centres to cater for language barrier calls, with the goal of fostering a more inclusive prehospital care system and addressing health disparities for non-fluent-English speakers.

Intelligent Interactive Space Art Based on the Needs of Smart Cities under Internet Technology

Intelligent Interactive Space Art Based on the Needs of Smart Cities under Internet Technology

Aesthetic: Subcultures in an Offline-Online Reality

Introduction: The term “Aesthetic” underwent a significant change in 2020, going from being a little-known concept to a common phenomenon on social networks. Its use became popular among generations Z and Alpha, reflecting a new paradigm in digital communication. This concept emerged in a context of confinement, where interactions moved to the digital, blurring the boundaries between offline and online reality. The study set out to define and analyze the “Aesthetic” phenomenon within this new social and cultural dynamic.Development: From a theoretical approach, the article explored concepts such as subcultures and cultural industries, analyzing how Aesthetics can represent social movements, but also suffer a loss of their original meaning when they are aestheticized and commercialized. It was identified that technology and social networks played a key role in the diffusion of Aesthetics, functioning as spaces of interaction where users not only consume content, but also produce and transform it.The study identified essential characteristics of Aesthetics, such as the materialization of values in visual elements and their exchange on social networks. An analysis model was developed that explained how these concepts evolve and adapt according to the interaction of prosumers. An exemplary case was the “Coquette Aesthetic”, whose popularity grew to the point of influencing political campaigns and generating derivations such as the “Tumbette”.Conclusion: The article concluded that Aesthetics, although they may represent subcultures, are influenced by the culture industry, which dilutes their original values. Their fluidity and short duration raise questions about their impact on youth identity and globalized culture. In addition, the extent to which these phenomena can be used to aestheticize social problems was questioned, as well as whether they really constitute a new form of cultural identity or just a passing trend driven by the market.

Membaca Pendidikan dalam Pasar Malam

This study aims to understand night markets as informal educational spaces through an analysis of the concept of deterritorialization from Deleuze and Guattari. As dynamic spaces, night markets are not only an arena for economic transactions, but also a space for cultural interaction, knowledge exchange, and the formation of community identity. This study uses a qualitative approach with participatory observation methods and in-depth interviews with visitors to night markets. The data obtained are then analyzed using a deterritorialization framework to describe how night markets go beyond the formal boundaries of education, creating a fluid and creative learning space. The results of the study show that night markets are an arena for deterritorialization of education, where local values and knowledge, negotiation skills, and cultural adaptation are distributed organically. Night markets show the blurring of the boundaries between economic space and educational space, making them an alternative learning locus that is not bound by formal institutions. In addition, the process of deterritorialization in night markets goes beyond traditional understandings of education by showing that knowledge and learning can thrive in marginal and temporary spaces. This study contributes to the discourse on informal education and marginal spaces, and opens up opportunities for further exploration of the role of non-formal spaces in building a learning society. The night market, as a site of deterritorialization, serves as a concrete example of how education can occur outside institutional control, offering an inclusive and flexible alternative for the dissemination of knowledge.