Interactive Research Articles

It's About Time: Parent-Child Turn-Taking in Early Stuttering.

Most common treatments for stuttering offer advice that parents modify temporal features of conversational interaction to assist children who stutter (CWS). Advice includes but is not limited to slowing of adult speech, increasing turn-taking/response-time latencies (RTLs), and reducing interruptions. We looked specifically at RTL and parental speech rate in a longitudinal data set that included baseline behaviors. We used data from baseline recordings (CWNS = 13 CWS-persistent, 28 CWS-recovered, 21 children who did not stutter) of the Illinois International Stuttering Research Project at FluencyBank, using CLAN software with audio linkage to Praat. Group differences in speech rate and RTL at baseline were nonsignificant; parents of CWS-persistent spoke most slowly pre-advisement. No relationships between speech rate or RTL and child fluency were detected. This is a retrospective, observational study, and caution must be used in interpreting our findings. However, current results do not add evidentiary support for common advice to adjust temporal parameters of their interactions made to parents of CWS, in terms of therapeutic outcome or concurrent fluency. We are analyzing subsequent samples, after advisement, to determine potential benefits of such guidance not evident in this analysis. Suggestions for future research and implications for clinical focus and practice are offered.

Gundam and the Japanese Media Mix: Novelizations, Model Kits and Statues

Mobile Suit Gundam (1979) and related texts – collectively called the Gundam franchise – revolutionized robot animation with its realistic settings, eventually gaining immense popularity through reruns and expansions into various media formats. This paper explores the Gundam series' innovative media mix strategies, including novelizations, model kits, and life-sized statues, which have each been critical to its enduring success in specific ways. For instance Gundam novelizations, particularly those by director Tomino Yoshiyuki, deviated from the TV series, incorporating mature themes and expanding the narrative universe. This approach set a precedent for media mixing in animation. Additionally, Gundam's plastic models, especially the MSV series, created a new form of “narrative consumption” where fans engaged with the broader lore of the series through detailed models. These models maintained the franchise's popularity during periods without new TV broadcasts. Finally, life-sized Gundam statues further exemplify the franchise's media mix innovation. Starting with the 2009 Tokyo installation, these statues have evolved, incorporating dynamic elements and interactive features. These installations offer a unique “pseudo-authenticity,” making the fictional Gundam universe tangible and attracting widespread attention. Overall, Gundam's pioneering media mix strategieshave not only sustained the franchise’s cultural and economic impact, but also expanded it, thus solidifying its status as a cornerstone of Japanese animation culture.

Virtual Jewellery Try-On: Enhancing Consumer Engagement and Personalization

This study presents a mobile-based augmented reality (AR) solution for virtual jewelry try-on, designed to enhance the e-commerce user experience by enabling customers to visualize and interact with jewelry in real time. The system employs Google ML Kit for real-time pose detection and tracking of body landmarks such as shoulders and fingers. By integrating Flutter-based modules with machine learning models, the application achieves accurate overlay of virtual jewelry on detected positions. Interactive gesture-based controls, including tap-to-place, scaling, and rotation, allow users to customize the jewelry’s fit and appearance. To address challenges related to camera instability, smoothing algorithms are implemented to minimize visual jitter, ensuring a seamless experience. Preliminary evaluations indicate that the proposed solution delivers precise and responsive virtual jewelry placement, effectively engaging users with its intuitive interface and interactive features. Although certain limitations, such as manual adjustments and device performance constraints, persist, the system demonstrates strong potential for advancing digital jewelry retail. This research uniquely combines real-time AR, pose detection, and gesture recognition in a mobile application, offering an accessible and realistic try-on experience. It addresses critical usability challenges in the jewelry industry, bridging the gap between traditional shopping methods and digital innovation. This study highlights new opportunities for enhancing customer engagement and driving e-commerce growth within the jewelry sector.

Exploring the Mediating Role of User Engagement in the Relationship Between Immersive Experiences and User Satisfaction in Virtual Reality Gaming

This study aims to investigate the influence of virtual reality (VR) on immersive experiences, user satisfaction, and engagement, focusing on the emotional and cognitive dimensions that enhance the overall gaming experience. Conducted at VR Land Carthage in Tunisia (https://tunis.carthageland. com/fr/vr-land/), a platform offering immersive VR gaming, the research utilized both online and offline surveys, yielding 254 valid responses. Data were analyzed using Smart Partial Least Squares (PLS) 3, facilitating a comprehensive examination of the relationships among immersive experiences, user engagement, and satisfaction in VR gaming. The findings indicate a strong positive relationship between immersive VR experiences and user satisfaction, with user engagement acting as a mediator. Immersion significantly enhances the gaming experience; players emotionally connected to the game report higher satisfaction and increased likelihood of return. The study highlights the importance of interactive elements in fostering deep engagement. Limitations include a sample size constrained by time and accessibility, potentially affecting the generalizability of the findings beyond the Tunisian context. Practically, the research underscores the need for developers to enhance immersion through interactive features, such as social connectivity and adaptive storytelling, to boost player involvement and satisfaction, ultimately contributing to retention and success in the competitive VR gaming market. This research addresses a gap in empirical studies on user engagement and satisfaction in specific gaming environments, offering valuable insights for developers and researchers in understanding how immersive experiences drive engagement in VR gaming.

ICT’s role in supporting students with SEND: insights from primary mainstream classrooms in England

ABSTRACT This study critically examines the use of Information and Communication Technology (ICT) in supporting the education of students with Special Educational Needs and Disabilities (SEND) in primary settings, with a focus on its pedagogical implications. Acknowledging the evolving nature of technology, this research highlights its dual potential to enhance and challenge inclusive educational practices. Using a qualitative research design, semi-structured interviews were conducted with 12 practitioners, including seven teachers and five Special Educational Needs Coordinators (SENCOs) from primary schools in Greater London, UK. Reflexive thematic analysis revealed that while ICT is valued for its engaging, gamified, and interactive features, its integration is hindered by insufficient guidance, infrastructure limitations, and financial constraints. Additionally, emotional affordances and gamification were identified as key drivers of student motivation, though concerns were raised regarding over-reliance and distraction. The findings emphasise the need to align ICT affordances with pedagogical strategies to foster self-regulation and responsible digital engagement, thereby contributing to inclusive and effective learning environments. This study underscores the importance of reflective pedagogical approaches and resource allocation to ensure equitable and impactful ICT integration in SEND education.

A Novel E-Social Servicescape Perspective: A Mixed-Methods Exploration of Audience Members’ Interactions During Sports Event Broadcasting in a Livestreaming Media Environment

Nowadays, platforms like Douyin attract large audiences during major sports events. In this study, with the aim of enhancing audience satisfaction in livestreaming media environments, we applied social servicescape theory to a livestreaming media environment and used a mixed-methods approach to understand why audiences choose to watch sports events on new media. We developed a theoretical model of audience satisfaction to examine sports event broadcasts on short video platforms. Following 24 semi-structured interviews, we conducted a quantitative survey of 490 participants. The results showed that user interaction and similarity are crucial factors influencing audience members’ choice of livestreaming and that the social attributes and interactive features of livestreaming enhance their sense of immersion, belonging, and nostalgia. Moreover, interactivity and similarity positively impact these emotional experiences, significantly boosting audience satisfaction. This research expands the theoretical understanding of online interactions and offers new insights for designing engaging livestreaming platforms.

MOBILE LEARNING APPLICATIONS AND CHANGES IN MATERNAL BEHAVIOR IN THE PROVISION OF FOOD FOR CHILDREN: SYSTEMATIC REVIEW

Background: Nutritional problems among children, especially in developing countries, remain a significant concern. Stunting, underweight, and malnutrition are prevalent due to inadequate dietary intake and poor maternal education. Mobile learning (m-learning) applications have emerged as potential tools to enhance maternal knowledge and improve child nutrition. This study systematically reviews existing literature to assess the impact of m-learning applications on changing maternal behavior in the provision of food for children.Method: This systematic literature review follows the PRISMA guidelines. The review was conducted in August 2024, covering studies published from 2014 to 2024. Databases including Scopus, PubMed, and Crossref were searched using relevant keywords. A total of 348 articles were identified, with 30 meeting the inclusion criteria for final analysis. The selected studies were analyzed to evaluate the effectiveness of m-learning applications in altering maternal behavior related to food provision.Results: The review indicates that m-learning applications significantly enhance maternal knowledge and positively influence food provision behaviors. However, the effectiveness of these applications is influenced by factors such as socio-economic status, cultural context, and the usability of the application. Personalized feedback, community support, and interactive features within the applications are crucial for achieving behavior change.Conclusions: M-learning applications hold substantial potential for improving maternal behavior in food provision, thereby enhancing child nutrition. Future developments should focus on culturally relevant content, user-friendly interfaces, and integrating community support mechanisms to maximize the effectiveness of these interventions.

MM-DRPNet: A Multimodal Dynamic Radial Partitioning Network for Enhanced Protein–Ligand Binding Affinity Prediction

Accurate prediction of drug-target binding affinity remains a fundamental challenge in contemporary drug discovery. Despite significant advances in computational methods for protein-ligand binding affinity prediction, current approaches still face substantial limitations in prediction accuracy. Moreover, the prevalent methodologies often overlook critical three-dimensional (3D) structural information, thereby constraining their practical utility in computer-aided drug design (CADD). Here we present MM-DRPNet, a multimodal deep learning framework that enhances binding affinity prediction by integrating protein-ligand structural information with interaction features and physicochemical properties. The core innovation lies in our dynamic radial partitioning (DRP) algorithm, which adaptively segments 3D space based on complex-specific interaction patterns, surpassing traditional fixed partitioning methods in capturing spatial interactions. MM-DRPNet further incorporates molecular topological features to comprehensively model both structural and spatial relationships. Extensive evaluations on benchmark datasets demonstrate that MM-DRPNet significantly outperforms state-of-the-art methods across multiple metrics, with ablation studies confirming the substantial contribution of each architectural component. Source code for MM-DRPNet is freely available for download at https://github.com/Bigrock-dd/MMDRPv1.

Granular intents learning via mutual information maximization for knowledge-aware recommendation

Knowledge-aware recommender systems, which utilize knowledge graphs (KGs) to enrich item information, have been shown to improve the accuracy and explainability of recommendations. Besides, KGs are further explored to determine the intent of choosing items (i.e., the reason why users select items of interest). Conventional methods represent intents either as sets of relations in a KG or as KG entities. However, such approaches fail to fully leverage the combined information provided by both entities and relations. To address this issue, we propose a new KG-based user Intent Extraction Framework (KIEF) to capture user intents at a more fine-grained level for recommendation. Specifically, we propose a novel intent representation constructed with relation-aware entity representation, encouraging finer granularity for user intents. Furthermore, since a KG may contain noisy information that impairs the quality of user intent, it is compulsory to consider which factors in a KG are important to represent a user’s intent. Thus, we introduce global intent which are comprehensive features for the entire interactions of all users and local intent, which are empirical features of individual users from personal history. By maximizing mutual information between global and local intents, KIEF captures user preference for items. Through extensive experiments on four real-world benchmark datasets, we prove the superior performance of KIEF over the state-of-the-art and analyze interpretable explanations for understanding user intents.

The immune response in chronic HBV infection.

Hepatitis B virus (HBV) is an ancient virus that has evolved unique strategies to persist as a chronic infection in humans. Here, I summarize the innate and adaptive features of the HBV-host interaction, and I discuss how different profiles of antiviral immunity cannot be predicted only on the basis of virological and clinical parameters.

A Review of Sensor-Based Interventions for Supporting Patient Adherence to Inhalation Therapy.

This review aims to provide a comprehensive overview of sensor technologies employed in interventions to enhance patient adherence to inhalation therapy for chronic respiratory diseases, with a particular emphasis on human factors. Sensor-based interventions offer opportunities to improve adherence through monitoring and feedback; however, a deeper understanding of how these technologies interact with patients is essential. We conducted a systematic review by searching online databases, including PubMed, Scopus, Web of Science, Science Direct, and ACM Digital Library, spanning the timeframe from January 2014 to December 2023. Our inclusion criteria focused on studies that employed sensor-based technologies to enhance patient adherence to inhalation therapy. The initial search yielded 1563 results. After a thorough screening process, we selected 37 relevant studies. These sensor-based interventions were organized within a comprehensive HFE framework, including data collection, data processing, system feedback, and system feasibility. The data collection phase comprised person-related, task-related, and physical environment-related data. Various approaches to data processing were employed, encompassing applications for assessing intervention effectiveness, monitoring patient behaviour, and identifying disease risks, while system feedback included reminders and alerts, data visualization, and persuasive features. System feasibility was evaluated based on patient acceptance, usability, and device cost considerations. Sensor-based interventions hold significant promise for improving adherence to inhalation therapy. This review highlights the necessity of an integrated "person-task-physical environment" system to advance future sensor technologies. By capturing comprehensive data on patient health, device usage patterns, and environmental conditions, this approach enables more personalized and effective adherence support. Key recommendations include standardizing data integration protocols, employing advanced algorithms for insights generation, enhancing interactive visual features for accessibility, integrating persuasive design elements to boost engagement, exploring the advantages of conversational agents, and optimizing experience to increase patient acceptance.

ПСИХОЛОГІЧНІ ОСОБЛИВОСТІ МІЖОСОБИСТІСНОЇ ВЗАЄМОДІЇ ПРАЦІВНИКІВ ДСНС В УМОВАХ ТРИВАЛОГО ТРАВМАТИЧНОГО СТРЕСУ

Purpose. The study aims to examine the psychological features of interaction between SES employees under conditions of continuous traumatic stress. To achieve this goal, the following tasks were performed: assessment of interpersonal interaction; diagnosing the personal components of interpersonal interaction; to determine the style of interpersonal interaction. Methods. The research used the method of theoretical analysis of scientific literature and empirical study of the problem using the «Methodology for assessing the personal components of interpersonal interaction» (S. Sitnik). Result. Analyzing the study, it is worth noting that in the process of interaction, all types of attitudes towards others are in a certain way connected by the motives of interpersonal interaction, the desire for acceptance, and the desire to establish and maintain relationships. There are also low communication needs, demand for attention from partners, disinterest in establishing emotional relationships, a desire to be among people, and the need to be liked by people, to be accepted into the community. Conclusions. The study allowed us to draw the following conclusions: interpersonal interaction of employees of external services is defined as personal contact that operates in space and time. The interaction took place through communication joint activities, and training, which influenced each other and built certain relationships. For the group, communication skills are the most important factor determining success in both professional and personal spheres. Interpersonal interaction was developed in the process of defining goal and establishing psychological contact.

Fuzzy multi-neighborhood entropy-based interactive feature selection for unsupervised outlier detection

Unsupervised feature selection is one of the important techniques for unsupervised knowledge discovery, which aims to reduce the dimensionality of conditional feature sets as much as possible to improve the efficiency and accuracy of the algorithm. However, existing methods have the following two challenges: (1) They are mainly applicable to select numerical or nominal features and cannot effectively select heterogeneous features; (2) The relevance and redundancy are primarily considered to construct feature evaluation indexes, ignoring the interaction information of heterogeneous features. To solve the challenges mentioned above, this paper proposes an unsupervised heterogeneous feature selection method based on fuzzy multi-neighborhood entropy, which also considers the multi-correlation of features to select heterogeneous features. First, the fuzzy multi-neighborhood granule is constructed by considering the distribution characteristics of the data. Then, the concept of fuzzy entropy is introduced to define the fuzzy multi-neighborhood entropy and its associated uncertainty measures, and the relationship between them is discussed. Next, the relevance, redundancy, and interactivity among attributes are defined, and the idea of maximum relevance-minimum redundancy-maximum interactivity is used to construct the evaluation indexes of heterogeneous features. Finally, experiments are conducted on several publicly unbalanced datasets, and the results are in comparison with existing algorithms. The experimental results show that the proposed algorithm can select fewer heterogeneous features to improve the efficiency of outlier detection tasks. The code is publicly available online at https://github.com/BELLoney/MNIFS.

Enhancing User Engagement and Behavior Change in Healthy Eating Apps: A Human-Computer Interaction Perspective

Healthy eating apps have gained popularity as tools for promoting dietary improvements and supporting behavior change. Despite their potential, maintaining user engagement and achieving sustained behavior change remain significant challenges. This paper investigates how principles of Human-Computer Interaction (HCI) can be leveraged to address these challenges and enhance the effectiveness of healthy eating apps. By conducting a comprehensive review of relevant HCI methodologies and analyzing the functionalities of existing apps, the paper identifies key factors that influence user interaction and behavioral outcomes. The research highlights that incorporating HCI principles-such as personalized feedback, gamification, and social interaction-can lead to more engaging and effective apps. Personalized feedback helps users feel more understood and supported, while gamification elements increase motivation through rewards and challenges. Social interaction features foster community support and accountability, contributing to sustained engagement. The paper concludes with practical recommendations for app developers to integrate these HCI principles and outlines future research directions to further explore and refine strategies for enhancing user engagement and behavior change in healthy eating apps.

Aplikasi Pembelajaran Tajwid dan Nagham Al-Qur’an Berbasis Web

Mastery of Tajweed and Nagham Al-Quran is crucial for accurate and melodious Quranic recitation. However, access to qualified teachers or reputable learning institutions is not always readily available to everyone. To address this challenge, this research aims to develop a web-based application that facilitates independent and interactive learning of Tajweed and Nagham Al-Quran. The study employs a structured software development methodology following the Waterfall model. Data collection involved literature reviews and interviews with subject matter experts on Tajweed rules, which served as the foundational basis for developing the application’s content. Key features of the application include modules for learning Tajweed and Nagham, Quranic reading exercises, a Tajweed glossary explaining key terminologies, and audio-visual resources to demonstrate clear examples of recitation.Testing results confirm that the application effectively aids users in comprehending and applying Tajweed and Nagham principles. Functional testing verified that all features operate as intended, highlighting the application’s reliability as a self-directed learning tool. This research concludes that the web-based Tajweed and Nagham Al-Quran learning application provides users with a more accessible and flexible platform to enhance their Quranic recitation skills. Future development is recommended to include a mobile version of the application to improve accessibility. Additional interactive features, such as discussion forums for experience sharing and advanced automated recitation evaluation tools, are also proposed to enhance the learning experience. The application leverages web-based technology and adheres to the Waterfall model to ensure a systematic development process. Its web-based nature enables compatibility across a variety of internet-connected devices, significantly broadening user reach. In summary, this research demonstrates that a Tajweed and Nagham Al-Quran learning application bridges the gap in access to quality education, offering an innovative and effective solution for individuals seeking to deepen their Quranic knowledge and recitation skills.

Visual Guidance for User Placement in Avatar-Mediated Telepresence Between Dissimilar Spaces.

Rapid advances in technology gradually realize immersive mixed-reality (MR) telepresence between distant spaces. This paper presents a novel visual guidance system for avatar-mediated telepresence, directing users to optimal placements that facilitate the clear transfer of gaze and pointing contexts through remote avatars in dissimilar spaces, where the spatial relationship between the remote avatar and the interaction targets may differ from that of the local user. Representing the spatial relationship between the user/avatar and interaction targets with angle-based interaction features, we assign recommendation scores of sampled local placements as their maximum feature similarity with remote placements. These scores are visualized as color-coded 2D sectors to inform the users of better placements for interaction with selected targets. In addition, virtual objects of the remote space are overlapped with the local space for the user to better understand the recommendations. We examine whether the proposed score measure agrees with the actual user perception of the partner's interaction context and find a score threshold for recommendation through user experiments in virtual reality (VR). A subsequent user study in VR investigates the effectiveness and perceptual overload of different combinations of visualizations. Finally, we conduct a user study in an MR telepresence scenario to evaluate the effectiveness of our method in real-world applications.

On some algorithms for comparing models of femtosecond laser radiation propagation in a medium with gold nanorods

The study of the features of the nonlinear optical interaction of laser radiation with various media is currently widely studied, including by mathematical modeling methods. In particular, the interaction of the laser pulse with the medium doped with nanorods leads to the melting of these nanorods and distortion of the laser pulse. In addition, the passage of a laser pulse through a medium with nanoparticles can lead to a change in the shape of the pulse and a significant distortion of its spectrum, as a result of which a number of undesirable effects may occur. The corresponding process can be described by the nonlinear Schrödinger equation. Analytical studies of the corresponding variants of the equation and numerical calculations have shown that the propagation of the resulting soliton subimpulses is characterized by the formation of a so-called nonlinear frequency chirp in the region of subimpulses. When considering the graphs of such a process, the following assumption arose: it is possible to measure the degree of nonlinearity by calculating the correlation coefficient between the frequency distribution in a linear and nonlinear medium. In the course of calculations using correlation analysis, we obtained statistical characteristics similar to those that were assumed in advance. At the same time, the most adequate variant of the pair correlation coefficient is obtained in the case of applying the algorithm proposed by us for its calculation.

Learning from interactive video: the influence of self-explanations, navigation, and cognitive load

AbstractRecent research has shown that enhancing instructional videos with questions, such as self-explanation prompts, and thus shifting the process from receptive to constructive learning, is beneficial to learning. However, the inclusion of questions is often confounded with the implementation of learner pacing through navigation features. Furthermore, previous studies have often not controlled for learning time. To address these shortcomings, an experiment (N = 128) was conducted. Participants watched an instructional video about cloud formation and lightning, with learning time controlled. In a 2 × 2 between-subjects design, navigation features (learner pacing vs. system pacing) and self-explanation prompts (prompts vs. no prompts) were manipulated. The results showed no effects of navigation features and self-explanation prompts on learning performance. While navigation features did not affect cognitive load, self-explanation prompts increased both intrinsic and extraneous cognitive load. Overall, the quality of responses to prompts was low but positively related to comprehension. The results are discussed in terms of the Interactive-Constructive-Active-Passive framework and Cognitive Load Theory. They highlight the importance of boundary conditions when investigating the effects of interactive features in instructional videos.

The Impact of Virtual Gallery-Assisted Learning on Middle School Students Interested in Art

This paper aims to discuss the impact of virtual gallery-assisted learning on the learning interests of middle school students interested in art. With the rapid development of science and technology, virtual reality, an emerging tool for assisted learning, has become a highly regarded new approach in art education. This study examines how virtual galleries can effectively enhance art education for middle school students through their extensive visual resources and interactive features, significantly improving students' engagement, creativity, and critical thinking. By deeply analyzing the virtual gallery's art enrichment learning resources for middle school students and the different learning methods from the traditional classroom, this study explains the effectiveness of virtual gallery tools and resources in promoting art appreciation and art skill development among middle school students. It also evaluates its great potential in actual teaching practice and its impact on students' engagement and creativity. It provides new thinking about teaching and learning for middle schools' art education and a reference for promoting art education towards more diversified development.

A new approach to assessment of supergene geochemical gold anomalies, exemplified by the Soldat massif (Murun massif of the Aldan shield)

Lithochemical prospecting by secondary scattering halos is considered in practice as attempts to locate ore body outcrops or to significantly reduce the search area. Even when all commonly accepted methodological principles are followed, the researchers rarely show interest in the identified anomalies, for which the vast majority of forecast resources are calculated. The problem lies in the fact that the calculated resources are usually not confirmed, and many anomalies are recognized as false or related to elevated Clarkes of the elements in the rocks. At the phase preceding the exploration drilling and mining workings, the main task is to determine the prospectivity of a certain anomaly. A methodological approach allowing one to justify the prospectivity of identified anomalies was developed using the Soldat massif as an example. Its essence consists in clarifying the contact interaction between the rocks of the massif and the host rocks by analyzing their covering hypergene analogues. Using factor analysis, based on the division of the main rock-forming elements, the spatial position is determined of the main rock types that make up the geological structure of the area. Within a zone of overlapping factors of the rock-forming elements, anomalies of Au, As, Cu, W, Co, Ni, and other elements are established. The localization of these anomalies within the contour of superposition of the rock-forming factors is considered a potential reflection of specific features of the contact interaction between rocks of different types and compositions. The main goal of the article is to attract the attention of researchers to similar situations so as not to miss weak anomalies. For example, positive significant correlations of ore elements are established in samples taken from the zone of overlapping rock-forming factors, while no correlations are observed in samples taken outside this zone. This indicates a unique geochemical environment that needs to be considered and used to predict potential mineralization. All subsequent constructions are related to geometrizing a detailed area in accordance with the identified zone where the main associations of chemical elements were established and the zonal structure of the secondary geochemical field of the massif was studied.