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In the field of visualization, understanding users' analytical reasoning is important for evaluating the effectiveness of visualization applications. Several studies have been conducted to capture and analyze user interactions to comprehend this reasoning process. However, few have successfully linked these interactions to users' reasoning processes. This paper introduces an approach that addresses the limitation by correlating semantic user interactions with analysis decisions using an interactive wire transaction analysis system and a visual state transition matrix, both designed as visual analytics applications. The system enables interactive analysis for evaluating financial fraud in wire transactions. It also allows mapping captured user interactions and analytical decisions back onto the visualization to reveal their decision differences. The visual state transition matrix further aids in understanding users' analytical flows, revealing their decision-making processes. Classification machine learning algorithms are applied to evaluate the effectiveness of our approach in understanding users' analytical reasoning process by connecting the captured semantic user interactions to their decisions (i.e., suspicious, not suspicious, and inconclusive) on wire transactions. With the algorithms, an average of 72% accuracy is determined to classify the semantic user interactions. For classifying individual decisions, the average accuracy is 70%. Notably, the accuracy for classifying 'inconclusive' decisions is 83%. Overall, the proposed approach improves the understanding of users' analytical decisions and provides a robust method for evaluating user interactions in visualization tools. [ABSTRACT FROM AUTHOR]

Massive teaching resources will cause serious teaching efficiency problems for online teaching, and traditional online teaching models are even inferior to traditional classroom teaching in terms of teaching effects. Based on this, this paper analyzes massive educational resources and builds a scalable computer interactive education system based on large-scale multimedia data analysis. Moreover, this paper sets the role of the system according to the actual teaching situation, and constructs the functional module of the system structure. In addition, this paper uses computer simulation technology to analyze interactive technology and make technical improvements to make interactive technology the core technology of the computer interactive education system, and get an extensible interactive education system based on the characteristics of network teaching. Then helps to monitor and access the performance of an interactive educational system. Furthermore, this paper designs an experiment to evaluate the performance of the computer interactive education system, which is mainly carried out from two aspects: interactive evaluation and teaching evaluation. From the experimental research results, we can see that this system can effectively improve the quality of teaching. [ABSTRACT FROM AUTHOR]

This document is a summary of a special issue in the Journal of Intelligent Information Systems focused on scalable computing for large-scale multimedia data analytics. The issue includes several papers addressing different aspects of this topic. One paper proposes a new image processing technique based on "frequency roughness" that improves image de-blurring, enhancement, and recognition tasks. Another paper presents a system that uses multimedia and big data to enhance tourism management education. A third paper proposes a method for secure cloud storage using passwords, biometrics, and Fully Homomorphic Multi-key Encryption (FHE). Another paper addresses the inefficiency of online teaching by proposing a scalable computer interactive education system. Lastly, a paper introduces a parallel computing framework using GPUs for real-time moving object detection in high-resolution videos. The research demonstrates significant improvements in processing speed and accuracy compared to traditional CPU-based methods. [Extracted from the article]

Many researchers around the world are currently working to improve product interactivity while reducing the need for physical interaction. This research offers an interactive computer system that can function without the usage of a real mouse. While wireless or Bluetooth mice still require a battery and a dongle to connect to a PC, this system is device-free. Users may operate the mouse system via gestures thanks to computer vision technologies. Deep learning techniques are used by the system to facilitate mouse activities via various gestures exhibited by the user while in mouse control mode. [ABSTRACT FROM AUTHOR]

Traditional virtual simulated interaction systems experience data fragmentation during the process of converting from two-dimensional to three-dimensional information, resulting in reduced realism and an inability to meet the teaching requirements of computer courses. Therefore, the integration of augmented reality (AR) technology into the educational environment remains an urgent and unresolved issue. To address the aforementioned issues, this paper investigates the data throughput limitations present in virtual simulation interaction systems. In response to this problem, an application solution utilizing AR technology is proposed, specifically a design concept for a virtual simulation interactive system tailored to computer-related courses. This system achieves its objectives through the collaborative interaction of AR hardware and supplementary software algorithms. The AR hardware is subdivided into framework design and functional hardware design, while the software components encompass AR models, virtual interaction models, and fusion methods. Through testing and comparison of the data throughput of this system with two other virtual simulation interaction systems, it was found that the virtual simulation interactive system optimized using AR technology can effectively enhance data throughput and address the issue of reduced realism in virtual interaction scenes caused by data fragmentation. This design system provides a more realistic and efficient mode of interaction for teaching computer-related courses. [ABSTRACT FROM AUTHOR]

This editorial explores the profound impact of ChatGPT, powered by OpenAI's GPT-3.5 architecture, on the landscape of research across diverse fields (Smith & Johnson, 2021). ChatGPT has emerged as a transformative tool for researchers and scholars, offering unparalleled access to information, fostering collaboration, and enhancing communication skills (Brown & Davis, 2020). It accelerates literature reviews, aids in idea generation, and facilitates interdisciplinary research (Chen & Kim, 2019). However, the adoption of ChatGPT in research is not without its challenges (Johnson & White, 2018). Ethical considerations, biases in responses, and data privacy concerns require vigilant attention. Despite these limitations, ChatGPT represents a significant leap forward in human-machine collaboration, empowering researchers to explore new avenues and streamline various aspects of their work (OpenAI, 2023). The future of research lies in harnessing the capabilities of ChatGPT while remaining cognizant of its limitations and ensuring that its integration aligns with evolving research needs. Researchers and developers must collaborate to realize the full potential of this transformative technology in academia. [ABSTRACT FROM AUTHOR]

Appeared as a 'low-tech' yet significant teaching aid in the modern classroom, the blackboard has greatly shaped the medium, space and pedagogy of school education. Over the past two centuries, 'blackboard' itself has also been constantly remoulded in terms of its colour, material and function, from the traditional black wooden surface to the interactive digital screen, which requires comprehensive investigations from historical, technological and educational perspectives. This essay synthesizes approaches applied in three dimensions. First is the material and technological aspect, tracing the transformation of such 'boards' from stone/wood to plastic/steel to digital/online forms and their functions extended; then it focuses on the etymological and lexicographical dimension, comparatively analysing the definitions of blackboard, chalkboard and whiteboard in the representative dictionaries; moreover, an educational perspective is employed throughout the whole investigation, especially on how the invention and involution of 'blackboard' shaped the class space, teacher-student relationship and subject pedagogy. Beyond the concern of technology, this essay reserves due attention to the epistemological issue in dealing with the presentation, transmission and acquisition of knowledge under different cognitive contexts. [ABSTRACT FROM AUTHOR]

We examine radar-based gesture input for interactive computer systems, a technology that has recently grown in terms of commercial availability, affordability, and popularity among researchers and practitioners, where radar sensors are leveraged to detect user input performed in mid-air, on the body, and around physical objects and digital devices. We analyze forty-five academic papers published on this topic between 2010 and 2021, and report results regarding gesture recognition techniques, application types, and evaluation approaches for radar-based gesture input. Our findings reveal that (1) deep learning techniques, such as Convolutional Neural Networks, have been the most popular approach for radar-based gesture recognition, (2) application opportunities for implementing radar gestures have been diverse, but without any clear contender for a game changer in this area, and (3) the gesture sets employed in prior work have been small with a median of just six gesture types. Based on these findings, we draw ten implications for integrating radar-based gesture sensing in ambient intelligence environments. [ABSTRACT FROM AUTHOR]

The paper focused on the transformational aspects of narrative and experience modalities in the field of exhibit design when intertwined with digital technologies. In particular, the convergence of blended realities provides a phygital experience, based on interaction with physicality and with digital environments, where these hybrid, interactive, and interconnected communication ecosystems offer opportunities for experimentation. [ABSTRACT FROM AUTHOR]

Physics course is seen by both teachers and students as difficult when it comes to teaching and learning. Thus, there is a need to think of and integrate new and innovative ways of teaching which guarantee students an improved physics conceptual understanding. This study investigated the effect of interactive computer simulations on the academic performance and learning motivation of students. It used a quasi-experimental design with a quantitative approach. The participants were 163 senior five Rwandan students (80 students in a control group and 83 students in an experimental group). The investigation was done on students' learning in atomic physics using physics education technology (PhET) simulations for the experimental group and conventional teaching methods for the control group. An atomic physics achievement test as a pre/post-test and a questionnaire related to motivation were designed and examined for reliability and validity. Data were analyzed by means of descriptive and inferential statistics. On both test scores and learning motivation, the results show that the experimental group performed better than the control group with noticeable statistically significant differences. This research recommended that the integration of interactive computer simulations can be helpful in teaching and learning physics in Rwanda and future research may focus on the effectiveness of these simulations in the teaching and learning of other science disciplines like Chemistry and Biology. [ABSTRACT FROM AUTHOR]

This article investigates music performances with audiovisual components in extended reality setups that are not score based, but composed, emerging from a discursive process of interrelating human performers and computational counterparts such as virtual performance partners, virtual instruments, and potentials related to particular spaces. Rooted in notions of earlier avant-garde music and digital games, the performances are understood to emerge from a bottom-up process of relating human-technological agencies. A dichotomy of preexistent physical and virtual realities that would be extended or mixed is consequently replaced by a notion of entangled realities, as the artistic reality of the artwork emerges with the performance. [ABSTRACT FROM AUTHOR]

The article titled "Design of computer interactive teaching system by using feature extraction algorithm and multimedia technology" has been retracted by the publisher due to concerns about compromised editorial handling and peer review processes. The investigation found that the article, along with others, did not meet the journal's standards and was not in scope of the guest-edited issue. The authors, Zhang Dong and Zhu Qi, have not responded to correspondence regarding the retraction. The publisher, Springer Nature, remains neutral in this matter. [Extracted from the article]

The article discusses the intelligent retrieval method of power system service user satisfaction based on human-computer interaction. It mentions that the power system contains system-connected equipment such as the synchronous machine, rotor, converter, disrupting circuitry, cable and many more; discussed six essential component of the power grid including the nuclear plant, transformers, converter systems and others and explained Human-Computer Interaction in Power System Service (HCI-PS-GA).

Background: Physical activity (PA) can increase mental and physical health in adults aged 50 years and older. However, it has been shown that PA guidelines are often not met within this population. Therefore, our research group developed 2 computer-tailored intervention programs in the last decade to stimulate PA: Active Plus and I Move. Although these programs were proven effective, positive effects diminished over time and attrition rates were relatively high. To respond to this, we will integrate 3 interactive mobile elements into the existing programs: activity tracker, ecological momentary intervention program, and virtual coach app. Objective: The goal of the research is to define systematic and evidence-based steps for extending our online computer-based PA intervention programs with 3 interactive mobile elements. Methods: Components often included in other (eHealth) design models were identified as key components and served as a base for the definition of systematic steps: exploration of context, involvement of the target population, prototype and intervention testing, and implementation. Based on these key components, 10 systematic steps were defined. The initial step is a literature search, with the results serving as a base for development of the low-fidelity prototypes in step 2. The pilot phase comprises the 3rd to 6th steps and includes semistructured interviews, pilot tests, and adaptations of the prototypes with intensive involvement of the target population of adults aged 50 years and older, where particular attention will be paid to lower educated persons. The 7th step is an effect evaluation in the form of a randomized controlled trial. During the 8th step, the most effective intervention programs will be selected and reinforced. These reinforced intervention programs will be used during the design of an implementation plan in the 9th step and the subsequent field study in the 10th step. Results: The project will be executed from December 2019 to December 2023. During this period, the systematic approach presented will be practically executed according to the methodological procedures described. Conclusions: Based on the 4 identified key components, we were able to design an evidence-based systematic design approach for separately adding 3 mobile elements to our existing online PA intervention programs. The 10 steps are presented as a useful approach to guide future eHealth design studies. [ABSTRACT FROM AUTHOR]

The fusion of emerging technology, means, and music has provided a diversified development direction for the performance form of electronic music. Interactive electronic music has become a hot form of music performance in recent years and is widely used in various art exhibitions. In this paper, we will briefly explain the basic principles and practical applications of wireless wearable sensing devices, sort out the development of interactive platforms and sensors, and study the application value of wireless wearable sensing devices in interactive electronic music works. Near-field communication (NFC), as a short-range radio technology, can realize wireless energy and data transmission simultaneously. By integrating NFC modules, electrochemical sensing circuits, and flexible electrodes, it is possible to ensure complete electrochemical sensing functions while maximizing the miniaturization, flexibility, and integration of the system. Therefore, this paper constructs a series of wireless passive flexible electrochemical sensing systems based on NFC technology, electrochemical sensing technology, and flexible electronics, and uses these systems to realize a series of innovative applications, aiming to guide the creation of higher quality interactive music artworks as well as explore the artistic and esthetic experience brought by interactive music functions, and provide theoretical references for virtual art interactive music creation and practice. [ABSTRACT FROM AUTHOR]

With the development of computer and communication technologies, information technology in education has become fully popular, and computers, multimedia, and other teaching aids are widely used at all stages of school education. The development of learning styles follows the trajectory of digital to mobile and finally along the trajectory of ubiquitous learning (i.e., ubiquitous and available anywhere and anytime). Thus, in the context of information technology, university art education is facing the impact of foreign cultures, while the issue of national and global differences in university art education is becoming increasingly evident due to the influence of cultural pluralism. University art education has to realize the combination of nationalisation and modernisation in the informationised environment and build university art teaching content with humanistic and diverse content under the basic requirements of realism and practicality in art education. University art should innovate the education system, change the teaching methods, and improve the quality of teaching. In teaching, students are combined with the actual situation of students to cultivate their creative consciousness, innovative thinking, and innovative ability. On this basis, this article mainly studies and analyses the teaching methods and strategies of university art design under the wireless network teaching mode and focuses on the application methods and application effects of interactive teaching in art teaching. The comparative analysis shows that the introduction of WBRCCS-based formative assessment into inquiry-based teaching is significantly better than traditional inquiry-based teaching and that the WBRCCS-based formative assessment system can improve the effectiveness of inquiry-based teaching and enhances students' motivation to learn. This shows that the use of the WBRCCS assessment system can enhance students' understanding of science concepts and improve learning outcomes. [ABSTRACT FROM AUTHOR]

This article introduces a unified and flexible experimental framework for massive online experimentation of control education. The new architecture adopts a front-end and back-end separation scheme based on React at frontend and Nginx at backend, and a single page application has been achieved to improve user experience. Multiple features and supporting technologies which provide a flexible, interactive, and real-time platform with enhanced sense of presence and user experience are discussed. The design and implementation of the proposed system are depicted in detail. With the implementation of online algorithm design, the unified framework enables all the functionalities such as web-based algorithm design, parameter tuning, visual configuration of customized user interface, and real-time control with remote and virtual laboratories, which cover the entire process in control education experimentation. A case study with students from two universities shows that the implemented online laboratory framework can support massive students with minimum maintenance required. [ABSTRACT FROM AUTHOR]

This article analyzes how the anti-discrimination language of Fair Housing Act section 3604 is currently out of reach for people being discriminated against online through the exclusionary language of Communications Decency Act section 230(c). The exclusionary language in CDA section 230(c) prevents liability from attaching to interactive computer service providers so long as the interactive computer service provider is not a creator or developer of information.1 Through the decisions of Zeran, Craigslist, and Roommate, the federal appellate courts created broad shield of immunity for interactive computer service providers, leading to a safe haven for discrimination online.2 Together the courts and Congress need to act to prevent further discrimination in housing advertisements online. [ABSTRACT FROM AUTHOR]

With the gradual increase in the informatization, there is much software in various industries, such as data management, business execution, public orientation, and company OA, which greatly facilitates the development of various tasks, but it also brings many hidden dangers. There exist certain vulnerabilities in some software, which have become backdoors to be attacked. In view of these needs and potential hazards, the ultrasonic data acquisition and signal processing algorithms are introduced in this paper, analyzing and grasping the possibility of potentially dangerous paths by combining the instruction addresses and locations of software vulnerabilities, and avoid the existence of these software vulnerabilities through corresponding constraint instructions. The simulation experiment results prove that the ultrasonic data acquisition and signal processing algorithms are effective and can support the detection and analysis of man-machine interactive software vulnerabilities. [ABSTRACT FROM AUTHOR]

Based on the hierarchy of influences model, we explored journalists' understanding and perceptions about media convergence in Pakistan's media industry and its influence on journalistic practices and routines. In-depth interviews with Pakistani news practitioners revealed several challenges hindering the successful implementation of media convergence in Pakistan. These challenges included the lack of resources for incorporating digital technologies, the lack of financial incentives, and stringent journalistic work routines, we found that technology-induced routines have severely affected both the personal and the professional lives of media practitioners. The adoption of convergence in Pakistan has been largely based on economic and commercial concerns rather than attempts to improve the quality of media content. Overall, the work contributes to the media convergence literature by providing insights from an emerging non-Western media system. [ABSTRACT FROM AUTHOR]

Query weight optimization, which aims to find an optimal combination of the weights of query terms for sorting relevant documents, is an important topic in the information retrieval system. Due to the huge search space, the query optimization problem is intractable, and evolutionary algorithms have become one popular approach. But as the size of the database grows, traditional retrieval approaches may return a lot of results, which leads to low efficiency and poor practicality. To solve this problem, this paper proposes a two-stage information retrieval system based on an interactive multimodal genetic algorithm (IMGA) for a query weight optimization system. The proposed IMGA has two stages: quantity control and quality optimization. In the quantity control stage, a multimodal genetic algorithm with the aid of the niching method selects multiple promising combinations of query terms simultaneously by which the numbers of retrieved documents are controlled in an appropriate range. In the quality optimization stage, an interactive genetic algorithm is designed to find the optimal query weights so that the most user-friendly document retrieval sequence can be yielded. Users' feedback information will accelerate the optimization process, and a genetic algorithm (GA) performs interactively with the action of relevance feedback mechanism. Replacing user evaluation, a mathematical model is built to evaluate the fitness values of individuals. In the proposed two-stage method, not only the number of returned results can be controlled, but also the quality and accuracy of retrieval can be improved. The proposed method is run on the database which with more than 2000 documents. The experimental results show that our proposed method outperforms several state-of-the-art query weight optimization approaches in terms of the precision rate and the recall rate. [ABSTRACT FROM AUTHOR]

The Internet has become a new medium, and educational activities have also undergone changes due to the development of new technologies. In the past, teaching activities that required students to teach in a specific time and space have changed to less time and space constraints, which have also made the educational process pay more attention to the university teaching mode under the Internet situation, which makes the teaching process more comfortable and intelligent. In this paper, we propose an English interactive teaching system based on the association rules algorithm. This method can make full use of the relevance between data to improve the efficiency of English teaching. According to the division of UNESCO, education informatization is divided into four stages: start, application, integration, and innovation. With the initial development of network hardware technology construction in recent years, it has gradually entered the integration and innovation stage of education and information technology. The important task at this stage is to carry out innovations that are different from traditional teaching concepts, innovations that are different from traditional talent training methods, and innovations that are different from traditional education methods and evaluation methods. From the perspective of dialectical materialism, different angles of a certain issue can be expressed differently. Educational activities are based on Huluo's technology to a certain extent, and the closedness of traditional education methods has been changed. In order to verify the performance of the method proposed in this paper, we test the proposed algorithm as well as compare it with the other two strategies. The experimental results show that the proposed has a better performance. [ABSTRACT FROM AUTHOR]

Section 230 of the Communications Decency Act (CDA) immunizes "interactive computer services" from most claims arising out of thirdparty content posted on the service. Passed in 1996, section 230 is a vital law for allowing free expression online, but it is ill-suited for addressing some of the harms that arise in the modern platformbased economy. This Article proposes to redefine section 230 immunity for sharing economy platforms and online marketplaces by tying internet platform immunity to the economic relationship between the platform and the third party. It primarily focuses on one key flaw of section 230: its binary classification of online actors as either "interactive computer services" (who are immune under the statute) or "information content providers" (who are not immune). This binary classification, while perhaps adequate for the internet that existed in 1996, fails to account for the full range of economic activities in which modern platforms now engage. This Article argues that courts applying section 230 should incorporate joint enterprise liability theory to better define the contours of platform immunity. A platform should lose immunity when there exists a common business purpose, specific pecuniary interest, and shared right of control in the underlying transaction giving rise to liability. Sharing economy platforms, such as Airbnb and Uber, and online marketplaces, such as Amazon, are primary examples of platforms that may function as joint enterprises. By using joint enterprise theory to redefine platform immunity, this Article seeks to promote greater fairness to tort victims while otherwise retaining section 230's core free expression purpose. [ABSTRACT FROM AUTHOR]

Https://foresight.forecasters.org FORESIGHT 41 T here have been substantial improvements in artificial intelligence (AI) technology over the last 10 years. The core AI technologies then were expert systems, search algorithms, natural-language processing, fuzzy sets, and early aspects of statistical learning. [Extracted from the article]