Multichannel Interaction Research Articles

Evaluating multi-channel interaction design for enhancing Pose accuracy in yoga training among visually impaired individuals

Aim: Physical exercise is essential for the physical and mental health of visually impaired people, but they often face challenges such as inaccurate movements, lack of rhythm and difficulty in mastering postures during exercise. This project introduces an assistive device based on a multi-channel interaction design strategy to improve the accuracy of yoga practice for the visually impaired and to enable their independent exercise. Methods: The system uses a 1:1 model combined with an output interaction model. The effectiveness was verified through controlled experiments with unassisted exercise as the control group and yoga-assisted exercise as the experimental group. Improvements in yoga accuracy and product usability were verified using the Assisted Accuracy Scale and the SUS Scale, respectively. Results: The results showed that the multi-channel interaction design significantly improved the accuracy and usability of yoga exercises and enhanced the ability of visually impaired people to exercise independently. Conclusion: Through this project, we hope to replicate this design strategy to help more visually impaired individuals independently perform effective physical exercise at home, in a gym, or in an outdoor space, thereby improving their quality of life and overall health.

Grouping Neural Network-Based Smith PID Temperature Controller for Multi-Channel Interaction System

The thermal vacuum test (TVT) is an important verification process in the development of spacecraft and load. There are often multiple temperature points on the device under test (DUT) that require control. The interaction among multiple channels poses a challenge for temperature control in the TVT. To solve this problem, a multi-channel Smith proportional–integral–derivative (PID) controller based on a grouping neural network (Grouping-NN) is proposed. Firstly, the mathematical derivation for a typical multi-channel temperature control model of the TVT is carried out. Then, the multi-channel interaction system is identified using a Grouping-NN to predict the output temperature of each channel by grouping the hidden layer neurons according to the number of channels. Finally, two Grouping-NNs are utilized to update the Smith predictor, and the time-delay error is fed back to the PID controller, which is used to optimize the control effect of the multi-channel interaction system under high time delay. The proposal is compared with the traditional PID controller and Smith predictor-based PID controller through simulation. The simulation results show that the proposed method has better suppression of overshooting. In addition, the algorithm is verified by controlling the temperature of six channels in a practical thermal vacuum test.

An empirical study of interactive experience and teaching effect of erhu performance in virtual reality environment

Abstract In today’s extremely rich material civilization, it is necessary to take the initiative to combine the inheritance of the erhu art with modern means, and in this regard, an immersive virtual erhu playing experience multi-channel interactive system is proposed. The multi-channel interactive system for an immersive virtual erhu playing experience is constructed by combining knowledge of erhu playing. The multi-channel interaction function module of this system consists of acoustic feedback, haptic perception, gesture recognition, and line-of-sight tracking interaction, while the virtual playing module contains two parts: dynamic guidance teaching and navigation menu distribution. Based on the research purpose, the system function and teaching effect are verified and analyzed. The results indicate that the system can recognize simple erhu-playing gestures with a recognition rate of 100.00% and can recognize relatively complex gestures with a recognition rate of more than 95.00%, thereby providing users with an enjoyable erhu-playing experience. The three aspects of erhu playing knowledge, rhythm ability, and improvisation ability show a significant difference between the traditional erhu teaching method and the system presented in this paper, with a P-value of less than 0.05. This difference clearly demonstrates the promotion effect of the interactive system on erhu performance teaching.

Research on the Teaching Reform of Art and Design Courses in Colleges and Universities Driven by Artificial Intelligence

Abstract This paper focuses on analyzing the critical technologies of artificial intelligence technology in the creation and display of art and design teaching in colleges and universities, respectively, using image processing technology, image geometric transformation, and image special effects processing to realize the basic image design of art design, and using head-eye synergistic eye-movement multi-channel interaction and gesture interaction to form an immersive interactive art and design display device. Combined with the radar chart of the acceptance of AI technology in the course teaching, the influencing factors of the three dimensions of cognition, interest and Practice are explored. The OBE concept is introduced to propose a teaching reform program for art and design courses under AI technology. Practical application of the teaching program can improve students’ visual literacy in art and design, and its numerical difference is 0.3254 at the most. Thus, the teaching reform program of art and design courses in colleges and universities based on the OBE concept proposed in this paper is feasible to a certain extent.

Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age

Abstract Taking visual art intelligence as an entry point, this paper describes the transformation brought by the information age to the expression of visual art. Based on VR technology to build a practice system of visual art intelligence, VR positioning technology is used to locate the three-dimensional coordinates of the operator in order to realize the independent positioning of multiple operators in a large space and avoid positioning interference. Through the eye movement multi-channel interaction algorithm based on head-eye synergy, the two-dimensional interaction task in flow field visualization is completed, and then gesture interaction is added to complete the three-dimensional interaction task. The constructed system was implemented in the teaching of art majors at College Z, and the data were analyzed. The results show that the total average scores of innovative theoretical ideas, interactive experience feeling, symbolic integration of creative content and infinite extension of the multidimensional spatial field are 82.42, 83.57, 80.84 and 80.28, respectively. The data show that teachers, students and parents recognize the intelligent system of visual arts and believe that it improves students’ innovative ability in art creation, enhances the interactive experience feeling of visual arts, and provides data support for the continuous research and exploration of contemporary visual arts.

Dual cross-domain session-based recommendation with multi-channel integration

Session-based recommendation aims at predicting the next behavior when the current interaction sequence is given. Recent advances evaluate the effectiveness of dual cross-domain information for the session-based recommendation. However, we discover that accurately modeling the session representations is still a challenging problem due to the complexity of preference interactions in the cross-domain, and various methods are proposed to only model the common features of cross-domain, while ignoring the specific features and enhanced features for the dual cross-domain. Without modeling the complete features, the existing methods suffer from poor recommendation accuracy. Therefore, we propose an end-to-end dual cross-domain with multi-channel interaction model (DCMI), which utilizes dual cross-domain session information and multiple preference interaction encoders, for session-based recommendation. In DCMI, we apply a graph neural network to generate the session global preference and local preference. Then, we design a cross-preference interaction module to capture the common, specific, and enhanced features for cross-domain sessions with local preferences and global preferences. Finally, we combine multiple preferences with a bilinear fusion mechanism to characterize and make recommendations. Experimental results on the Amazon dataset demonstrate the superiority of the DCMI model over the state-of-the-art methods.

Development and Data Storage of Sports Teaching Live Broadcast Platform Based on Mobile Device Edge Computing

Aiming at the problems of low computing power and limited storage capacity of mobile terminals, a lightweight identity authentication protocol suitable for mobile edge computing environment is proposed. This protocol combines cryptography with the security protection technology of the physical layer. The system is a web software system based on the Internet network, which provides both teachers and students with the necessary network teaching environment and related tools for online teaching. To integrate the text, graphics, voice and video document systems required for the course, relying on Yu Classroom, Xuetangyun, Chuangao APP, WeChat group and other platforms to create "theoretical learning + live teaching + MOOC video + online Q&A" four the integrated teaching mode has achieved teachers' teaching, students' independent learning and multi-channel interaction between teachers and students.

Study on the Availability of Digital Interactive Mode of Scenic Spots Guidance System

Some characteristics and advantages of human-computer interaction interface design based on scenic spot guidance, in order to better apply human-computer interaction interface in product usability, the user model, user interface model, multi-channel interaction information integration, pen-based interaction technology, human-computer interaction software architecture and other contents in human-computer interaction are analyzed. It solves the problem of product homogeneity caused by traditional cognitive interaction and makes the design of interactive products return to focusing on users and interaction itself. The feasibility and rationality of the interactive product design method based on usability theory are verified through design practice, and this method has certain guiding significance.

Case Study of Multichannel Interaction in Healthcare Services

A multichannel interaction service is a practice whereby organizations communicate and interact with their existing customers and potential new customers through different channels. This article presents a brief case study of multichannel interaction in healthcare services, which studies the viability of continuous multichannel interaction for personalized healthcare services to enable health professionals to follow up and monitor patients in home-based care. Furthermore, this study aims to explore the possibility of the continuity and complementarity of the interactions across different communication channels with the patients. The data used for this study was gathered during the first wave of the COVID-19 pandemic. This study showed that despite this type of interaction being relatively new in healthcare services, it has considerable potential for improving the relationship between patients, health professionals, and care providers. Upon completion of the data analysis, several conclusions were drawn. One such conclusion was the ability to maintain continuity of interaction across multiple channels, as well as the synergy between the different channels of interaction available to patients and the impact this has on the way patients and health professionals interact. Additionally, it was determined that the complementarity of different interaction channels is crucial when implementing multichannel interaction services. Furthermore, the implementation of this solution resulted in improved communication between patients and health professionals. Also, it has decreased health professional’s workload and reduced care providers costs regarding remote patient follow-up.

Systematically Investigating the Pharmacological Mechanism of Momordica grosvenori in the Treatment of Spinal Cord Injury by Network Pharmacology and Experimental Verification.

This study aimed to explore the molecular mechanism of Momordica grosvenori (MG) in spinal cord injury (SCI) by network pharmacology analysis. We searched for potential active MG compounds using the TCMSP database and the BATMAN-TCM platform. The Swiss target prediction database was used to find MG-related targets and the targets of SCI from the CTD, GeneCards, and DrugBank databases. Following that, a protein-protein interaction (PPI) study was carried out. Cytoscape software was used to calculate the hub gene, and R software was used to evaluate the Gene Ontology (GO) and KEGG enrichment pathways. Finally, molecular docking between the hub protein and important compounds was performed. We verified STAT3, MAPK1, HSP90AA1, PIK3R1, PIK3CA, and RXRA potential targets by quantitative PCR. We obtained 293 MG-anti-SCI targets with potential therapeutic utility by intersecting 346 MG-related targets and 7214 SCI-related targets. The top 10 identified genes, ranking in descending order of value, were SRC, STAT3, MAPK1, HSP90AA1, PIK3R1, PIK3CA, RXRA, AKT1, CREBBP, and JAK2. Through enrichment analysis and literature search, 10 signaling pathways were screened out. The molecular docking of important drugs and hub targets revealed that some had a higher binding affinity. The results of quantitative PCR indicated that MAPK1, RXRA, and STAT3 were expressed differently in in vitro experiments. In conclusion, the current work indicated that MG might play an anti-SCI role via multicomponent, multitarget, and multichannel interaction, which presents a novel idea for further research into the precise mechanism of MG-anti-SCI interaction.

ЕВОЛЮЦІЯІНСТРУМЕНТІВ ІНТЕРНЕТ-МАРКЕТИНГУ

The article is dedicated to the development of internet-marketing tools. The development of information and communication technologies has led to an increase of their role not only in the lives of consumers, but also in marketing activities, in the form of multi-channel interaction with customers. E-marketing can be thought of as any marketing activity that uses electronic interactive tools in combination with data on customer’s behavior and characteristics. Digital marketing can use traditional marketing tools, or it can use only virtual ones. Internet-marketing has a priority goal - maximizing the effect of the potential audience of the Internet network. Studying the evolution of internet-marketing allows marketers to understand what tools were popular in the past and why, how they evolved, and how those changes have affected the way marketing is done today. In addition, studying the evolution of internet-marketing helps marketers anticipate future trends and plan their marketing strategies accordingly. The article discusses new digital marketing tools (a blog, mobile business applications, fan pages, bots and more). This article describes the advantages and disadvantages of using new internet-marketing tools for companies. The relationship between traditional and new internet-marketing tools is presented. The article depicts the matrix of the Internet marketing’s evolution, that represents the gradual changes in the people’s interaction with the digital world. The article describes the influence of internet-marketing tools on the marketing strategies of a small company.

Speech Dialogue System-Based Environmental Resource Allocation and Online English Teaching and IoT Applications

For the online teaching of English and the allocation of environmental resources, the conventional methods are difficult to adapt to the increased load in time when the business volume increases, and their practicability has obvious shortcomings. Aiming at this problem, this paper puts forward the environmental resource allocation and online English teaching based on the voice dialogue system. Based on the English teaching content, the vocabulary information table and dialogue information table which are input into the voice dialogue system are designed. In the user’s usage, the dialogue sent by the user is matched with, and each group of matching results is taking as the target. Environmental resources are allocated for each group of matching results with the help of the dispatcher in the voice dialogue system, and the optimal allocations of single goal and multiple goals are realized. On this basis, the online teaching architecture is designed, and the above contents are deployed to the teaching architecture. It supports the multichannel interaction between users and the online English teaching platform and realizes independent online English learning. The experimental results show that the teaching method based on the voice dialogue system has stable environmental resource allocation, low blocking rate, and high teaching quality score, and the overall practicability has been significantly improved.

A Case Study of How Netflix Adapts Its Development Strategy to the Media System in Canada

In recent years, streaming media services such as Netflix, Spotify, and YouTube have been widely used. Netflix, as a representative platform, is a powerful cultural force rising with the emergence of streaming media technology. Streaming media platforms abandon the linear mode of traditional TV and adopt the new mode of multi-channel interaction and digital production, continuing to contribute its unique advantages to high TV ratings. Netflix, headquartered in the United States, has started its global expansion and entered Canada, France, and other countries. In the process of its expansion, Netflix designed its unique global expansion strategy and obtained high-quality target consumers in various streaming media markets. This study will critically explore how Netflix adapts its development strategy to fit into Canadian media systems and policies. This study argues that in order to meet the requirements of the Canadian government, Netflix has made two prominent changes in its development strategy at the content level. First, Netflix has increased the production of local content in Canada and presented some original content in French. Secondly, Netflix is striving to improve its degree of globalization and breaking geographical restrictions to achieve subscribers’ access to equivalent content around the world.

Energy Efficient Digital Omnichannel Marketing Based on a Multidimensional Approach to Network Interaction

Digital Omnichannel marketing is viewed the answer to future marketing however, the concept is mired with problems related to the energy and carbon footprinting. Therefore, this study proposed energy efficient network of a complex topology of data access and marketting, where the nodes function as an objects with unique characteristics and create digital customer value network. It is believed that competition has transformed into a contest of online platforms in energy efficency as well in economic efficiency. It is emphasized that there is no alternative to multichannel interaction at the present stage of implementing digital business solutions. In this study, authors have developed omnichannel interaction algorithms based on mathematical models. The proposed approach supplements the digital twin model with economic indicators and methods. Results and analysis of multidimensional structures allows for omnichannel network digital interaction and improves the digital marketing approach. To consider the formation of a network configuration of customer service, developing the idea of digital interaction between participants in consumer value chains. The study conclude and recommend to expand the methodology of digital marketing involving alternative channels of interaction and energy efficency by including a mathematical apparatus for analyzing multidimensional structures (n-D structures).

Research on Furniture Design Integrating Ming-Style Furniture Modeling Elements and Image Sensor Data: Taking Suitable Old Furniture as an Example

Ming-style furniture, adhering to the excellent traditional Chinese history and culture, is the pinnacle of traditional Chinese-style furniture, which vividly embodies the cultural essence of Chinese-style furniture. However, with the current popularity of smart home products, there are many obstacles for elderly users to use smart home products. Voice interaction is one of the main interaction methods of smart home products. The design strategy of voice user interface for aging smart home products is studied to improve the experience of elderly users in operating smart home products. Based on image sensing technology, combining Ming-style furniture modeling elements, and based on context theory research, this paper proposes four types of smart home contexts for elderly users, including user context, task context, time context, and environmental context, so as to propose a specific smart home product voice user interface design strategy. According to the user’s situational characteristics, a multichannel interaction design of voice user interface is proposed, an emotional and personalized voice user interface is constructed, and a design strategy of context memory assisting the dialogue process is constructed. According to the task, time, and environmental situation of elderly users, it proposes design strategies such as active interactive voice user interface design and provides continuous behavioral service experience. Conclusion. The research results provide a method and strategy reference for the design and development of the voice user interface of smart home products and provide a more natural and comfortable experience of using smart home products for elderly users.

Research on the Construction of a Nursing Education Management Model Based on a Small Data-Driven Model and Its Application.

Based on the concept of responsible holistic nursing care, a whole-process dual-tutor nursing practice model is established and its application effects are explored. This paper firstly reviews the research progress of nursing workload prediction methods at home and abroad, in order to provide a reference for clinical nursing workers in China to choose a scientific, reasonable, and easy-to-use nursing workload prediction method. It is proposed to construct a nursing education management model based on small data to provide ideas and references for nursing education management to effectively predict the evolutionary trend of students' behaviour and improve the level of accurate services. The experimental group adopted a dual-tutor responsibility system for the whole-process nursing practice model, including a complete three-level supervision system: a dual-tutor teaching system, a PDCA responsibility system for continuous improvement, and a multichannel teacher-student interaction platform; the control group adopted the traditional nursing practice model.

Interoperability and Security Issues on Multichannel Interaction In Healthcare Services

In recent years, there has been a strong adherence to the digitization, integration, and modernization of health services by care providers. This trend has already demonstrated its potential in several aspects of the health services made available to patients through different interaction channels. Although this practice is full of benefits for the different actors involved, it raises many issues related to the interoperability between the channels and the health services available in them, as well as the security and privacy issues of the data that are transmitted during the interactions between patients and health professionals across multiple channels. With this increasing dependence on technology, healthcare organizations need to look for new solutions capable of solving the enumerated problems. This article intends to study these issues and identify possible solutions that the care provider should adopt to overcome any problems that may arise with the integration of multichannel interaction in health services.

PREREQUISITES FOR ECOSYSTEM APPROACH IN CIVIC ACTIVITY`S ORGANIZATION IN MODERN RUSSIA (PART 2)

The paper is a continuation of the article published in the previous issue of the journal. In the first part, theoretical approaches to understanding and interpreting ecosystems were considered. Based on them, the definition of the ecosystem of civic activity was formulated as a set of digital services forming a single infrastructure of interaction, as well as the creation of coalitions and cooperating partnerships acting in the interests of their creators. The features of civic activity ecosystems were also highlighted: the development of digital forms of civic and protest activity, the use of digital services and platforms, multi-channel communication, multiple collaborations, cooperation and horizontal interaction of participants. In order to identify the features of the development of civil and protest activity in modern Russia in the context of the development of digital services and platforms that serve as a prerequisite for the creation of ecosystems in politics, the results of expert surveys conducted in the period 2014-2022 were summarized. The results of the study indicate trends in the systematic development of online and offline civic activity in the subjects of the Russian Federation. We can talk about the strengthening of civil action in the Network and the increasing role of digital forms of civic activity, as well as the partial "transition" of civil society actors to the Internet space to increase the effectiveness of activities. As a result, the network principles of organizing collective actions of citizens are actively developing. It is indicated that protest actions, as well as other forms of civic activity, are more often carried out on the Internet. As a result, there is a development of digital infrastructure for participants of socio-political projects and campaigns - platforms, services for interaction. It provides multi-channel interaction between the organizational core and civil society activists, allowing you to create a single communication space. It is noted that in modern Russian society, the implementation of large-scale "seamless" digital ecosystems is still only a prospect for development. At the same time, a model of interaction based on the cooperation of users around the digital platform is successfully operating.

Health Professional's Decision-Making Based on Multichannel Interaction Services.

The COVID-19 pandemic has reinforced the importance and impact of telemedicine and multichannel interactions in healthcare services provided to patients. Health professionals are in turn increasingly dependent on patient data collected through multichannel interactions to make their clinical decisions. This article intends to present a brief analysis from the viewpoint of health professionals regarding the use of technologies in telemedicine and multichannel interactions to support decision making, basing on the analysis of clinical data of patients collected in a telemedicine environment. These technologies have numerous advantages for healthcare professionals and patients, but there are also some obstacles and gaps inherent that need to be overcome. Furthermore, health professionals can perform a more detailed analysis of patient data before taking any decision, as this practice promotes data collection to facilitate the decision-making process of health professionals.

Dream-Experiment: A MR User Interface with Natural Multi-channel Interaction for Virtual Experiments.

This paper studies a set of MR technologies for middle school experimental teaching environments and develops a multi-channel MR user interface called Dream-Experiment. The goal of Dream-Experiment is to improve the traditional MR user interface, so that users can get a real, natural 3D interactive experience like real experiments, but without danger and pollution. In terms of visual presentation, we design multi-camera collaborative registration to realize robust 6-DoF MR interactive space, and also define a complete rendering pipeline to provide improved processing of virtual-real objects' occlusion including translucent devices. In the virtual-real interaction, we provide six interaction modes that support visual interaction, tangible interaction, virtual-real gestures with touching, voice, thermal feeling, and olfactory feeling. After users' testing, we find that Dream-Experiment has better interactive efficiency and user experience than traditional MR environments.