Interactive Smart Research Articles

Examining the factors affecting sustained use in smart interactive cabinet design: A comparative analysis using SEM and fsQCA

Understanding the factors that contribute to sustained user use is critical to the design and marketing of smart interactive cabinets, which have gained great popularity in recent years. This study investigates the factors that impact users' intentions to continue using smart interactive cabinets and examines how these factors influence product design and marketing strategies. However, existing research has mainly focused on the development and performance evaluation of smart interaction technologies, with less attention paid to users' continued willingness to use smart interaction cabinets and their determinants. To address this gap, 304 valid samples were randomly collected for empirical analysis and hypothesis testing, and a questionnaire survey was administered to 304 young Chinese urban Chinese users born in the 1980s and 1990s. By synthesizing and analyzing the usage patterns and influencing factors among young consumers, the study employs a combination of covariance-based structural equation modeling (CB-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to evaluate the data.The analysis highlights the significance of perceived usefulness, ease of use, and innovation in predicting users' intentions to continue using smart interactive cabinets. This study offers insights into the factors influencing continued use and provides valuable guidance for manufacturers and marketers in designing and marketing smart interactive products to enhance user experience and satisfaction.

Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators

AbstractIn the era of Internet of Things (IoT) and Artificial Intelligence (AI), sensors have become an integral part of intelligent systems. Although the traditional sensing technology is very mature in long‐term development, there are remaining defects and limitations that make it difficult to meet the growing demands of current applications, such as high‐sensitivity detection and self‐supplied sensing. As a new type of sensor, array triboelectric nanogenerators (TENG)‐based tactile sensors can respond to wide dynamic range of mechanical stimuli in the surrounding environment and converting them into quantifiable electrical signals, thus realizing real‐time self‐supplied tactile sensing. The array structure allows for fine delineation of the sensing area and improved spatial resolution, resulting in accurate localization and quantification of the detected tactile signals, and have been widely used in wearable devices, smart interaction, medical and health detection, and other fields. In this paper, the latest research progress of functional tactile sensors based on arrayed triboelectric nanogenerators is systematically reviewed from the aspects of working mechanism, material selection, material processing, structural design, functional integration, and application. Finally, the challenges faced by arrayed triboelectric tactile sensors are summarized with a view to providing inspiration and guidance for the future development of tactile sensors.

Smart interactive whiteboard in EFL class at Islamic university

This research aims to investigate students’ perception of using Smart Interactive Whiteboard in the English as a foreign language (EFL) classroom in the State Islamic University in Jambi city. This research employs a quantitative survey method, utilizing a questionnaire as the primary data collection tool. The questionnaire consisted of 26 five-point Lickert-scale items in order to measure the students’ perceptions about (1) Perceived Learning Contribution, (2) Motivation, (3) Perceived Efficiency, and (4) Perceived Negative Effects. The results of the survey show that students like having smart, interactive whiteboards in the classroom. The results show that these technological tools help people learn, get motivated, feel like they are working well, and don't have any bad affects. The combination of audio and visual elements makes it easier to understand and provides a stimulating learning environment. Students also say they are more engaged, focused, involved, and excited about learning. Smart, interactive whiteboards are thought to make classrooms more visible, more organized, and better at keeping track of time. The fact that most students disagree with the idea that these tools have bad results shows that they like using them. Overall, the results show how smart interactive whiteboards can be benefited for positive learning experiences, motivation, efficiency, and student engagement in a positive and pleasant learning atmosphere.

Smart Classroom: A Review and Research Agenda

The presented systematic review aims to adopt a methodological approach of providing quantitative and qualitative knowledge on the emerging notion of the smart classroom. The analysis is based on an assessment of 572 publications published in peer-reviewed journals between 2000 and 2021. Citation networks, cocitation analysis, and publishing patterns have been used to identify important research works, characterize the intellectual structure of the domains, and highlight research gaps. Bibliometric analysis is used to identify the most notable journals, authors, nations, articles, and themes, which was followed by a comprehensive analysis of various disciplines using standard terminology and taxonomy of the papers. Emerging topics including smart interaction and positive engagement, intelligent evaluation, and inter-connected physical surroundings have been explored. Following the exploration of a conceptual framework, potential topics of research have been identified. This research will assist practitioners, educators, administrators, and academic researchers in understanding the fundamentals of smart classrooms and identifying pertinent topics for future research exploration.

Magnetic nanocomposite hydrogel with ultra‐stretchable as strain sensors for monitoring human motion and the change of magnetic field

AbstractIn recent years, the smart hydrogels have gained much concern in the field of research specially related to flexible strain sensors because they exhibit many types of smart interactions that can be useful in wearable devices. However, the conventional hydrogels have poor electrical conductivity that affect the performance of the sensors, so it remains a challenge to achieve noncontact signal monitoring (e.g., for the detection of magnetic field changes). In this study, an ultra‐stretchable and magnetically responsive conductive hydrogel was fabricated by adding magnetic ferric tetroxide@polypyrrole composite nanoparticles (Fe3O4@PPy NPs) to polyacrylamide (PAm). The nanoparticles were easily agglomerated and improved the compatibility of PPy and hydrogel. The obtained PAm/Fe3O4@PPy hydrogel showed an ultra‐stretchability of (961%), a low elastic modulus of (87.8 kPa), and an excellent toughness of (1010.5 kJ m−3). Moreover, PAm/Fe3O4@PPy hydrogel also exhibited a high electrical conductivity of 0.34 S m−1, and the PAm/Fe3O4@PPy hydrogel sensor could detect human motions (such as bending of finger, bending of wrist) and muscle micromotion (such as pronouncing). In addition, it can also monitor the change in magnitude of magnetic field.

Smart Management Information Systems (Smis): Concept, Evolution, Research Hotspots and Applications

ABSTRACT Management information system (MIS), a human-computer system that deeply integrates next-generation information technology and management services, has become the nerve center of society and organizations. With the development of next-generation information technology, MIS has gradually entered the smart period. However, research on smart management information systems (SMIS) is still limited, lacking systematic summarization of its conceptual definition, evolution, research hotspots, and typical applications. Therefore, this paper defines the conceptual characteristics of SMIS, provides an overview of the evolution of SMIS, examines research focus areas using bibliometric methods, and elaborates on typical application practices of SMIS in fields such as health care, elderly care, manufacturing, and transportation. Furthermore, we discuss the future development directions of SMIS in four key areas: smart interaction, smart decisionmaking, efficient resource allocation, and flexible system architecture. These discussions provide guidance and a foundation for the theoretical development and practical application of SMIS.

The Impact of Smart Interactive Technologies in Creating Personal Internal Spaces: An Analytical Study of User Preferences for Interactive Shape Characteristics

The Impact of Smart Interactive Technologies in Creating Personal Internal Spaces: An Analytical Study of User Preferences for Interactive Shape Characteristics

Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV

Smart interaction between autonomous centimeter-scale unmanned aerial vehicles (i.e., nano-UAVs) and Internet of Things (IoT) sensor nodes is an upcoming high-impact scenario. This work tackles precise 3-D localization of indoor edge nodes with an autonomous nano-UAV without prior knowledge of their position. We employ ultrawideband (UWB) and wake-up radio (WUR) technologies: we perform UWB-based ranging and data exchange between the nano-UAV and the nodes, while the WUR minimizes the sensors’ power consumption. UWB-based precise localization requires addressing multiple sources of error, such as UWB-ranging noise and UWB antennas’ uneven radiation pattern. The limited computational resources aboard a nano-UAV further complicate this scenario, requiring real-time execution of the localization algorithm within a microcontroller unit (MCU). We propose a novel UWB-based localization system for nano-UAVs, composed by: 1) a lightweight localization algorithm; 2) an optimal flight strategy; and 3) a ranging-error-correction model. Our 3-D flight policy requires only five UWB measurements to feed the localization algorithm, which bounds the localization error within <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathrm {28 \, \text {c} \text {m} }$ </tex-math></inline-formula> and runs in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathrm {1.2 \text {m} \text {s} }$ </tex-math></inline-formula> on a Cortex-M4 MCU. Localization accuracy is improved by an additional 25% thanks to a novel error-correction model. Leveraging the WUR, the entire localization/data-exchange cycle costs only <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathrm {24 \, \text {m} \text {J} }$ </tex-math></inline-formula> at the sensor node, which is 50 times more energy efficient than the state of the art with comparable localization accuracy.

Use of smart technologies in the training of specialists in higher education institutions

Attention is focused on the importance of the use of smart technologies in the training of specialists in institutions of higher education. From the perspective of the educational system, smart society and smart education are presented, which are included in the content of a new type of education, in which the use of smart information technologies is mandatory. The main task of the educational space for smart education is written down - creating a basis for the possibility of realizing the intellectual and creative potential of education seekers. New opportunities for the education system created by smart technologies are described. The advantages of smart technologies and the features of their application in the educational process are listed. The main principles of smart education are highlighted and the components of smart education are listed. Online platforms, online services, portals, and applications, which are presented as smart technology tools within the scope of the study, were identified and divided into the groups of smart store, smart interaction, smart response, and smart trainer.

Student opinions about the training set consists of smart interactive mockups and application program used in anatomy and histology education

Technology integration into education fits today's student profile and brings a new breath to education. The number of studies using technology in medicine and health education has increased. The study aims to get the opinions of students who use the education set we have patented, designed to be used in primary medical sciences education. The research data were collected using the semi-structured interview forms of the "Structured Student Introduction Form" and "The Opinions of the Health Sciences Nursing Department Students on the Training Set Consists of Smart Interactive Mockup and Application Program." This qualitative study used descriptive analysis to evaluate the data obtained. Student opinions determined that there were positive effects on student motivation, interest in the lesson, and understanding of the lesson by integrating technology into health and medical education. It was determined that the education set had the same effects but had aspects that needed improvement. Considering student experiences and constantly renewed technological applications, we think that improving the features of the education set we have patented will bring a new perspective to health and medical education.

A retinomorphic neuron for artificial vision and iris accommodation.

The iris of an eye automatically optimizes the amount of light that strikes the retina by accommodating the intensity of ambient light. Here, we describe a retinomorphic neuron using neuromorphic photoreceptors for artificial vision and iris accommodation that mimics the biological structure and processing functions of retinal neurons for light sensing and signal transduction. The system consists of a neuromorphic photoreceptor, an electrochromic device as a light filter, and a spike-generation unit. In particular, the Au nanoparticle (NP) decorated ITO fiber photoreceptor with a well-aligned array structure is able to rely on its own light-tunable synaptic plasticity and the plasmon-enhanced light absorption. Therefore, it allows real-time feedback about light intensity, emits a higher-frequency electrical stimulus to stronger light, flash, or prolonged light illumination time, and drives the electrochromic filter to work, allowing mild light to pass through. Compared with traditional artificial irises or artificial photoreceptors, our design introduces neural pathways and neuromorphic devices, which are closer to biological functions in simulation. To our knowledge, this is the first time that a retinal neuron with neuromorphic photoreceptors has been used for artificial iris vision. Furthermore, we demonstrate direct and consensual pupillary light reflexes. The design of artificial iris vision has potential applications in biomimetic engineering, smart interaction, and visual prostheses.

Smart interaction and social TV used by Jordanian University students

The integration of the TV screen, so that it becomes a new media interaction, is one of the most significant shifts that technology has brought and is known as “social TV”. This paper examines the interaction and influence of social TV on academic performance during Covid-19. It also focuses on the link between social media usage, traditional TV, social TV, and most importantly on whether the latter has impacted on improvements in students’ academic performance in Jordan. A total of 546 university students participated in this study via online survey. Through a self-proposed model, using the PLS-SEM software, the study found that respondents understand the concept of social TV and have used it to improve their interaction with others, helping them to share their experiences and – interestingly – to improve their academic performance. Thus, the findings are discussed in relation to social media integration with social TV in educational and non-educational settings.

A Blockchain and AI Based Vaccination Tracking Framework for Coronavirus (COVID-19) Epidemics

The Coronavirus disease, i.e. (COVID-19) pandemic outbreaks has inevitably lead to a corresponding movement restrictive measure by the members of both central and state government leadership. The current limitation of healthcare systems cannot predict the COVID-19 outbreaks and vaccination drive. The need of the hour is to use Blockchain Technology for the construction of immutable ledger. In this paper a Blockchain and Artificial Intelligence (AI) enabled COVID-19 vaccine tracking system has been proposed. The proposed system is designed using the Ethereum Virtual Machine (EVM), decentralized storage by Inter Planetary File System (IPFS) and implemented using Truffle and Ganache Tool. The smart contract interaction among the entities is developed with Drizzle and the front-end using ReactJS . The performance of the proposed framework has been presented with Keccack 256 transaction hash, the total number of transactions, gas consumed by each contract. Additionally the performance parameters such as latency, throughput, traffic in, out, CPU, and memory utilization of the blockchain framework are also calculated. The artificial neural network (ANN) has been used to classify the vaccination group. Such an attempt is a worthwhile addition to the state of the art as evident from the results presented herein. The proposed framework provides a way for vaccinated members of the community to be tracked and indexed so as to avail the benefits, for example, less restrictive movements nationally, internationally, or simply in their own respective communities. This paper leverages the advantages of Blockchain Technology to obtain a reliable and accurate way to facilitate the entire tracking process.

Integrated Online Platform for Agricultural Products and Information

Abstract: Agriculture is the basic and most important profession of our country as it balances the food requirement and also the essential raw materials for several industries. The implementation of smart technology in agriculture practices needs to be focused on for better land productivity. Internet of Things technology has brought a revolution to each and every field of common man's life by making everything smart and intelligent. The development of Intelligent Smart Farming based on IoT is day by day turning the face of agriculture production by not only enhancing it but also making it cost-effective and reducing wastage. The aim of this project is to propose a Novel Smart Interactive Platform for Integrated Information of Agricultural Products based Agriculture system that can assist farmers in crop management by getting Live Data (Temperature, Humidity, RainFall, Soil moisture content) for efficient environment monitoring which will enable smart farming and increase their overall yield and quality of products. This system proposes an interactive platform for integrated information of agricultural products which combines farm production, supply and marketing of agricultural products. This will help the information platform to play the role of information collection and distribution, and to improve the efficiency of the circulation of agricultural products. Keywords: Agricultural Information, Agricultural Products, Weather Forecast, E-Commerce.

Functional regions as a platform to define integrated transport system zones: The use of population flows data

The rapid expansion of cars as the main transport mode over the last few decades has caused many negative effects mainly in urban areas. Many countries across the world thus want to attract passengers back to public transport. One of the most important and useful tools is supporting public transport by creating integrated transport systems (ITS). ITS represent innovative solution for organising urban and regional public transport. ITS are based on the integration of individual transport modes into one interconnected and coordinated system. However, the key question is how they are spatially defined and how they are organised internally. This is a relatively complicated issue as natural population flows, tariff systems, as well as the specifics of the transport infrastructure of the area, must be reflected.The main aim of the article is to propose the optimal delimitation and internal structure of the integrated transport system in the South Bohemian Region of the Czech Republic. To design the optimal delimitation, we use an innovative method based on utilizing location data from mobile phones, which reliably reflect the population flows. To delimitate the zones of a new integrated transport system we use the CURDS regionalisation algorithm and Smart's interaction measure. We found out substantial disproportion between the current organisation of the public transport system and regular population flows based on mobile positioning data. We suggest adjusting and developing a new integrated transport system which will reflect the current organisation of regular population flows. Finally, we test four versions of micro-regions as a sophisticated basis to define and internally structure the new ITS in the South Bohemian Region.

Intelligent control system of smart home for context awareness

In recent years, the rapid development of Internet of Things smart hardware has increased the demand for intelligent control of devices, mainly in the smart home industry. The framework to solve the problem of equipment intelligent control is studied. The advantages and disadvantages of existing context modeling strategies are analyzed. According to the characteristics of household context activities, combined with the design principles of graph databases, a new context modeling method based on object and attribute graph is proposed, which is suitable for Internet of Things scenarios with limited resources. Rule control, mode control, and voice control approaches of smart home interaction are designed. An inference engine is used to map the data of context awareness to the Internet of Things control services that executed automatic control of the system, and a framework of smart control system based on context awareness of Internet of Things is proposed. Considering the behavior habits of users, the concept of user preference is introduced to provide more personalized services. Performance tests with simulated data show that the new context modeling method has a faster system response time than the ontology modeling control mode.

Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP)

The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior citizen’s home, workplace, or care centre to help manage their health condition on a continuous basis. Using this method, healthcare providers can assign various jobs to nurses by utilizing a general task definition mechanism, in which a task is defined as a combination of medical workflow, operational guidelines, and data gathered from a remotely monitored virtual nursing system. Practitioners are in charge of DBN-EP and make treatment decisions for patients. This allows a DBN-EP to act as a personalized full-time nurse for a client by carrying out practitioner support activities based on information gathered about the client’s health. An electronic Personal Health Record (ePHR) system, such as a specialized web portal and mobile apps, could provide such patient information to elderly person family members and care centres. We created a prototype system using a DBN-EP system that allows traditional client applications and healthcare provider systems to collaborate. Finally, we demonstrate how this system may benefit the elderly through a result and debate.

Smart Interactive Virtual Assistant System for Office Door Applications in the Situation of the COVID-19 Pandemic

Smart Interactive Virtual Assistant System for Office Door Applications in the Situation of the COVID-19 Pandemic

A Comparison of the Effectiveness of Online Instructional Strategies Optimized With Smart Interactive Tools Versus Traditional Teaching for Postgraduate Students.

To solve the problem that lack of interaction in online courses affects motivation and effectiveness of students’ learning, smart interactive tools were introduced into the online Neurobiology course. This study aimed to evaluate the students’ satisfaction with online teaching mode and assess the academically higher and lower performing students’ learning effectiveness in the online course optimized with smart interactive tools compared to face-to-face learning. Descriptive statistics and independent t-tests were used to describe student samples and determine the differences in students’ satisfaction and performance. Reflections of students’ satisfaction revealed that about 65.8% were satisfied with the learning involvement and about 60.5% were satisfied with the class interaction. Almost two-thirds of the class agreed that the smart interactive tools applied in the online course could help them attain their learning goals better. Among all the smart interactive functions, the class quiz was the most effective one in helping students grasp the main points of the course. No significant differences were found between the two teaching modes in the overall and academically higher or lower performing students’ final exam average scores. Compared to each band score of such two teaching modes, no one failed to pass the final exam in the online course, however, three lower-performing students who were taught in the traditional course failed. This study suggested that optimized online teaching with smart interactive tools could produce the same learning effectiveness for the academically lower-performing students as for the higher-performing students. Meanwhile, the instructors could know the learning status in which each student was and perform personalized guidance and improve exam passing rate accordingly.

Internet of Things: A Review of Functionality, Applications, Architectures and Challenges

The Internet of Things (IoT) is an emerging paradigm that embodies the vision of merging smart objects while utilizing the internet as the backbone of the communication system to establish a smart interaction among physical entities in pervasive environments. In IoT, data is generated in realtime and stored in permanent repositories. Additional data in the form of meta-data that describes things adds to the data volume and to manage this data, architecture is required. IoT finds its applicability in a plethora of applications such as transportation, smart city, smart health, smart environment, home entertainment, sports, etc. but there is no universal architecture for all IoT implementations. We have layered architectures and domain-specific architectures for different IoT applications. Besides a large number of architectures for IoT, it faces several potential challenges such as scalability, reliability, heterogeneity, etc. This paper presents an understanding of the Internet of Things in terms of its functionality, layered and domain-specific architectures, and its potential challenges.