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An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles
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作者 Mesfer Alrizq Shauban Ali Solangi +3 位作者 Abdullah Alghamdi Muhammad Ali Nizamani Muhammad Ali Memon Mohammed Hamdi 《Computer Systems Science & Engineering》 SCIE EI 2022年第2期557-569,共13页
Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare(mHealthcare)services.A patient within the hospital is monitored by several devices.Moreover,upon leaving t... Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare(mHealthcare)services.A patient within the hospital is monitored by several devices.Moreover,upon leaving the hospital,the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health parameters.This raises potential challenges for intelligent monitoring of patient's health.In this paper,an improved architecture for smart mHealthcare is proposed that is supported by HCI design principles.The HCI also provides the support for the User-Centric Design(UCD)for smart mHealthcare models.Furthermore,the HCI along with IoT's(Internet of Things)5-layered architecture has the potential of improving User Experience(UX)in mHealthcare design and help saving lives.The intelligent mHealthcare system is supported by the IoT sensing and communication layers and health care providers are supported by the application layer for the medical,behavioral,and health-related information.Health care providers and users are further supported by an intelligent layer performing critical situation assessment and performing a multi-modal communication using an intelligent assistant.The HCI design focuses on the ease-of-use,including user experience and safety,alarms,and error-resistant displays of the end-user,and improves user's experience and user satisfaction. 展开更多
关键词 human computer interaction mhealthcare user-centric design sensor network nternet-of-things
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Context-Aware Augmented Reality Using Human-Computer Interaction Models
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作者 Ying Sun Qiongqiong Guo +2 位作者 Shumei Zhao Karthik Chandran G.Fathima 《Journal of Control and Decision》 EI 2024年第1期1-14,共14页
Augmented Reality is a technique that allows users to overlap digital information with their physical world.The Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI... Augmented Reality is a technique that allows users to overlap digital information with their physical world.The Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI)perspective.Due to its increasing popularity and application in diverse domains,increasing user-friendliness and AR usage are critical.Context-aware is one approach since an AR application can adapt to the user,environment,needs and enhance ergonomic principles and functionality.This paper proposes the Intelligent Contextaware Augmented Reality Model(ICAARM)for Human–Computer Interaction systems.This study explores and reduces interaction uncertainty by semantically modeling user-specific interaction with context,allowing personalised interaction.Sensory information is captured from an AR device to understand user interactions and context.These depictions carry semantics to Augmented Reality applications about the user’s intention to interact with a specific device affordance.Thus,this study describes personalised gesture interaction in VR/AR applications for immersive/intelligent environments. 展开更多
关键词 Augmented Reality CONTEXT-AWARE humancomputer interaction
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RFHUI:an RFID based human-unmanned aerial vehicle interaction system in an indoor environment 被引量:2
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作者 Jian Zhang Zhitao Yu +5 位作者 Xiangyu Wang Yibo Lv Shiwen Mao Senthilkumar CG.Periaswamy Justin Patton Xuyu Wang 《Digital Communications and Networks》 SCIE 2020年第1期14-22,共9页
In this paper,we present an RFID based human and Unmanned Aerial Vehicle(UAV)Interaction system,termed RFHUI,to provide an intuitive and easy-to-operate method to navigate a UAV in an indoor environment.It relies on t... In this paper,we present an RFID based human and Unmanned Aerial Vehicle(UAV)Interaction system,termed RFHUI,to provide an intuitive and easy-to-operate method to navigate a UAV in an indoor environment.It relies on the passive Radio-Frequency IDentification(RFID)technology to precisely track the pose of a handheld controller,and then transfer the pose information to navigate the UAV.A prototype of the handheld controller is created by attaching three or more Ultra High Frequency(UHF)RFID tags to a board.A Commercial Off-The-Shelf(COTS)RFID reader with multiple antennas is deployed to collect the observations of the tags.First,the precise positions of all the tags can be obtained by our proposed method,which leverages a Bayesian filter and Channel State Information(CSI)phase measurements collected from the RFID reader.Second,we introduce a Singular Value Decomposition(SVD)based approach to obtain a 6-DoF(Degrees of Freedom)pose of the controller from estimated positions of the tags.Furthermore,the pose of the controller can be precisely tracked in a real-time manner,while the user moves the controller.Finally,control commands will be generated from the controller's pose and sent to the UAV for navigation.The performance of the RFHUI is evaluated by several experiments.The results show that it provides precise poses with 0.045m mean error in position and 2.5∘mean error in orientation for the controller,and enables the controller to precisely and intuitively navigate the UAV in an indoor environment. 展开更多
关键词 Radio-Frequency Identification(RFID) human computer interaction(HCI) Unmanned Aerial Vehicle(UAV) Singular Value Decomposition(SVD) Localization NAVIGATION
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Fire Hawk Optimizer with Deep Learning Enabled Human Activity Recognition
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作者 Mohammed Alonazi Mrim M.Alnfiai 《Computer Systems Science & Engineering》 SCIE EI 2023年第6期3135-3150,共16页
Human-Computer Interaction(HCI)is a sub-area within computer science focused on the study of the communication between people(users)and computers and the evaluation,implementation,and design of user interfaces for com... Human-Computer Interaction(HCI)is a sub-area within computer science focused on the study of the communication between people(users)and computers and the evaluation,implementation,and design of user interfaces for computer systems.HCI has accomplished effective incorporation of the human factors and software engineering of computing systems through the methods and concepts of cognitive science.Usability is an aspect of HCI dedicated to guar-anteeing that human–computer communication is,amongst other things,efficient,effective,and sustaining for the user.Simultaneously,Human activity recognition(HAR)aim is to identify actions from a sequence of observations on the activities of subjects and the environmental conditions.The vision-based HAR study is the basis of several applications involving health care,HCI,and video surveillance.This article develops a Fire Hawk Optimizer with Deep Learning Enabled Activ-ity Recognition(FHODL-AR)on HCI driven usability.In the presented FHODL-AR technique,the input images are investigated for the identification of different human activities.For feature extraction,a modified SqueezeNet model is intro-duced by the inclusion of few bypass connections to the SqueezeNet among Fire modules.Besides,the FHO algorithm is utilized as a hyperparameter optimization algorithm,which in turn boosts the classification performance.To detect and cate-gorize different kinds of activities,probabilistic neural network(PNN)classifier is applied.The experimental validation of the FHODL-AR technique is tested using benchmark datasets,and the outcomes reported the improvements of the FHODL-AR technique over other recent approaches. 展开更多
关键词 Activity recognition fire hawks optimizer deep learning USABILITY human computer interaction
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Home-based Detection and Prediction of Diabetic Foot Ulcers at Early Stage Using Sensor Technology and Supervised Learning
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作者 Kamasamudram Bhavya Sai Rishi Raghu +2 位作者 Sai Surya Varshith Nukala Jayashree Jayaraman Vijayashree Jayaraman 《Journal of Harbin Institute of Technology(New Series)》 CAS 2024年第1期26-37,共12页
For years,foot ulcers linked with diabetes mellitus and neuropathy have significantly impacted diabetic patients’ health-related quality of life(HRQoL). Diabetes foot ulcers impact15% of all diabetic patients at some... For years,foot ulcers linked with diabetes mellitus and neuropathy have significantly impacted diabetic patients’ health-related quality of life(HRQoL). Diabetes foot ulcers impact15% of all diabetic patients at some point in their lives. The facilities and resources used for DFU detection and treatment are only available at hospitals and clinics,which results in the unavailability of feasible and timely detection at an early stage. This necessitates the development of an at-home DFU detection system that enables timely predictions and seamless communication with users,thereby preventing amputations due to neglect and severity. This paper proposes a feasible system consisting of three major modules:an IoT device that works to sense foot nodes to send vibrations onto a foot sole,a machine learning model based on supervised learning which predicts the level of severity of the DFU using four different classification techniques including XGBoost,K-SVM,Random Forest,and Decision tree,and a mobile application that acts as an interface between the sensors and the patient. Based on the severity levels,necessary steps for prevention,treatment,and medications are recommended via the application. 展开更多
关键词 diabetic foot ulcer PODIATRY diabetes mellitus healthcare footcare internet of things machine learning humancomputer interaction
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VR and AR in human performance research―An NUS experience 被引量:2
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作者 Jun-Hao YIN Chin-Boon CHNG +3 位作者 Pooi-Mun WONG Nicholas HO Matthew CHUA Chee-Kong CHUI 《Virtual Reality & Intelligent Hardware》 2020年第5期381-393,共13页
With the mindset of constant improvement in efficiency and safety in the workspace and training in Singapore,there is a need to explore varying technologies and their capabilities to fulfil this need.The ability of Vi... With the mindset of constant improvement in efficiency and safety in the workspace and training in Singapore,there is a need to explore varying technologies and their capabilities to fulfil this need.The ability of Virtual Reality(VR)and Augmented Reality(AR)to create an immersive experience of tying the virtual and physical environments coupled with information filtering capabilities brings a possibility of introducing this technology into the training process and workspace.This paper surveys current research trends,findings and limitation of VR and AR in its effect on human performance,specifically in Singapore,and our experience in the National University of Singapore(NUS). 展开更多
关键词 human computer interaction Virtual environment human performance
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COMTIS:Customizable touchless interaction system for large screen visualization 被引量:1
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作者 Jiaxin LIU Hongxin ZHANG Chuankang LI 《Virtual Reality & Intelligent Hardware》 2020年第2期162-174,共13页
Background Large screen visualization sys tems have been widely utilized in many industries.Such systems can help illustrate the working states of different production systems.However,efficient interaction with such s... Background Large screen visualization sys tems have been widely utilized in many industries.Such systems can help illustrate the working states of different production systems.However,efficient interaction with such systems is still a focus of related research.Methods In this paper,we propose a touchless interaction system based on RGB-D camera using a novel bone-length constraining method.The proposed method optimizes the joint data collected from RGB-D cameras with more accurate and more stable results on very noisy data.The user can customize the system by modifying the finite-state machine in the system and reuse the gestures in multiple scenarios,reducing the number of gestures that need to be designed and memorized.Results/Conclusions The authors tested the system in two cases.In the first case,we illustrated a process in which we improved the gesture designs on our system and tested the system through user study.In the second case,we utilized the system in the mining industry and conducted a user study,where users say that they think the system is easy to use. 展开更多
关键词 human computer interaction RGB-D camera Touchless interaction Gesture recognition
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Mobile Interaction Capturing System in Real Environments
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作者 Ivan Pretel Garcia Ana B. Lago Vilarino 《Computer Technology and Application》 2012年第8期533-543,共11页
Mobile applications are being used in a great range of fields and application areas. As a result, many research fields have focused on the study and improvement of such devices. The current Smartphones are the best ex... Mobile applications are being used in a great range of fields and application areas. As a result, many research fields have focused on the study and improvement of such devices. The current Smartphones are the best example of the research and the evolution of these technologies. Moreover, the software design and development is progressively more focused on the user; finding and developing new mobile interaction models. In order to do so, knowing what kind of problems the users could have is vital to enhance a bad interaction design. Unfortunately, a good software quality evaluation takes more time than the companies can invest. The contribution revealed in this work is a new approach to quality testing methodology focused on mobile interactions and their context in use where external capturing tools, such as cameras, are suppressed and the evaluation environments are the same as the user will use the application. By this approach, the interactions can be captured without changing the context and consequently, the data will be more accurate, enabling the evaluation of the quality-in-use in real environments. 展开更多
关键词 human computer interaction quality in use mobile services context-awareness.
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A Robust Approach for Detection and Classification of KOA Based on BILSTM Network 被引量:1
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作者 Abdul Qadir Rabbia Mahum Suliman Aladhadh 《Computer Systems Science & Engineering》 SCIE EI 2023年第11期1365-1384,共20页
A considerable portion of the population now experiences osteoarthritis of the knee,spine,and hip due to lifestyle changes.Therefore,early treatment,recognition and prevention are essential to reduce damage;neverthele... A considerable portion of the population now experiences osteoarthritis of the knee,spine,and hip due to lifestyle changes.Therefore,early treatment,recognition and prevention are essential to reduce damage;nevertheless,this time-consuming activity necessitates a variety of tests and in-depth analysis by physicians.To overcome the existing challenges in the early detection of Knee Osteoarthritis(KOA),an effective automated technique,prompt recognition,and correct categorization are required.This work suggests a method based on an improved deep learning algorithm that makes use of data from the knee images after segmentation to detect KOA and its severity using the Kellgren-Lawrence(KL) classification schemes,such as Class-I,Class-II,Class-III,and Class-IV.Utilizing ResNet to segregate knee pictures,we first collected features from these images before using the Bidirectional Long Short-Term Memory(BiLSTM)architecture to classify them.Given that the technique is a pre-trained network and doesn’t require a large training set,the Mendeley VI dataset has been utilized for the training of the proposed model.To evaluate the effectiveness of the suggested model,cross-validation has also been employed using the Osteoarthritis Initiative(OAI)dataset.Furthermore,our suggested technique is more resilient,which overcomes the challenge of imbalanced training data due to the hybrid architecture of our proposed model.The suggested algorithm is a cuttingedge and successful method for documenting the successful application of the timely identification and severity categorization of KOA.The algorithm showed a cross-validation accuracy of 78.57%and a testing accuracy of 84.09%.Numerous tests have been conducted to show that our suggested algorithm is more reliable and capable than the state-of-the-art at identifying and categorizing KOA disease. 展开更多
关键词 KOA image classification knee osteoarthritis deep learning neural networks human computer interaction(HCI) medical imaging
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Home Automation-Based Health Assessment Along Gesture Recognition via Inertial Sensors
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作者 Hammad Rustam Muhammad Muneeb +4 位作者 Suliman A.Alsuhibany Yazeed Yasin Ghadi Tamara Al Shloul Ahmad Jalal Jeongmin Park 《Computers, Materials & Continua》 SCIE EI 2023年第4期2331-2346,共16页
Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports detection.We have developed a real-time hand gesture recognition system using inertialsens... Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports detection.We have developed a real-time hand gesture recognition system using inertialsensors for the smart home application. Developing such a model facilitatesthe medical health field (elders or disabled ones). Home automation has alsobeen proven to be a tremendous benefit for the elderly and disabled. Residentsare admitted to smart homes for comfort, luxury, improved quality of life,and protection against intrusion and burglars. This paper proposes a novelsystem that uses principal component analysis, linear discrimination analysisfeature extraction, and random forest as a classifier to improveHGRaccuracy.We have achieved an accuracy of 94% over the publicly benchmarked HGRdataset. The proposed system can be used to detect hand gestures in thehealthcare industry as well as in the industrial and educational sectors. 展开更多
关键词 Genetic algorithm human locomotion activity recognition humancomputer interaction human gestures recognition principal hand gestures recognition inertial sensors principal component analysis linear discriminant analysis stochastic neighbor embedding
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Eye-shaped keyboard for dual-hand text entry in virtual reality
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作者 Kangyu WANG Yangqiu YAN +2 位作者 Hao ZHANG Xiaolong LIU Lili WANG 《Virtual Reality & Intelligent Hardware》 EI 2023年第5期451-469,共19页
We propose an eye-shaped keyboard for high-speed text entry in virtual reality (VR), having the shape of dual eyes with characters arranged along the curved eyelids, which ensures low density and short spacing of the ... We propose an eye-shaped keyboard for high-speed text entry in virtual reality (VR), having the shape of dual eyes with characters arranged along the curved eyelids, which ensures low density and short spacing of the keys. The eye-shaped keyboard references the QWERTY key sequence, allowing the users to benefit from their experience using the QWERTY keyboard. The user interacts with an eye-shaped keyboard using rays controlled with both the hands. A character can be entered in one step by moving the rays from the inner eye regions to regions of the characters. A high-speed auto-complete system was designed for the eye-shaped keyboard. We conducted a pilot study to determine the optimal parameters, and a user study to compare our eye-shaped keyboard with the QWERTY and circular keyboards. For beginners, the eye-shaped keyboard performed significantly more efficiently and accurately with less task load and hand movement than the circular keyboard. Compared with the QWERTY keyboard, the eye-shaped keyboard is more accurate and significantly reduces hand translation while maintaining similar efficiency. Finally, to evaluate the potential of eye-shaped keyboards, we conducted another user study. In this study, the participants were asked to type continuously for three days using the proposed eye-shaped keyboard, with two sessions per day. In each session, participants were asked to type for 20min, and then their typing performance was tested. The eye-shaped keyboard was proven to be efficient and promising, with an average speed of 19.89 words per minute (WPM) and mean uncorrected error rate of 1.939%. The maximum speed reached 24.97 WPM after six sessions and continued to increase. 展开更多
关键词 Virtual reality human computer interaction Text entry Shaped keyboard QWERTY-like key sequence Dual-hand cooperation
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The Research of System Architecture in Expert System
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作者 Zou Cheng\|ming, Zhong Luo, Yuan Jing\|ling Information Engineering Institute,Wuhan University of Technology, Wuhan 430070, China 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期278-282,共5页
This paper illustrated the software architecture of our concrete safety expert system. Three advanced technologies are proposed and have been applied to our expert system to greatly improve the intelligent level, whic... This paper illustrated the software architecture of our concrete safety expert system. Three advanced technologies are proposed and have been applied to our expert system to greatly improve the intelligent level, which are human computer interaction technology (conceptual model, dialogue management, interface entity and interface construct), intelligent agency user interface (IAUI) and component technology. The important character of the system architecture in our expert system is adapting advanced intelligent interface and scientific integration of various components different from common system architecture of expert system. Especially, in the interface\|friendly multimedia system intelligent interface is required. 展开更多
关键词 software architecture human computer interaction IAUI COMPONENT
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Robust video foreground segmentation and face recognition 被引量:6
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作者 管业鹏 《Journal of Shanghai University(English Edition)》 CAS 2009年第4期311-315,共5页
Face recognition provides a natural visual interface for human computer interaction (HCI) applications. The process of face recognition, however, is inhibited by variations in the appearance of face images caused by... Face recognition provides a natural visual interface for human computer interaction (HCI) applications. The process of face recognition, however, is inhibited by variations in the appearance of face images caused by changes in lighting, expression, viewpoint, aging and introduction of occlusion. Although various algorithms have been presented for face recognition, face recognition is still a very challenging topic. A novel approach of real time face recognition for HCI is proposed in the paper. In view of the limits of the popular approaches to foreground segmentation, wavelet multi-scale transform based background subtraction is developed to extract foreground objects. The optimal selection of the threshold is automatically determined, which does not require any complex supervised training or manual experimental calibration. A robust real time face recognition algorithm is presented, which combines the projection matrixes without iteration and kernel Fisher discriminant analysis (KFDA) to overcome some difficulties existing in the real face recognition. Superior performance of the proposed algorithm is demonstrated by comparing with other algorithms through experiments. The proposed algorithm can also be applied to the video image sequences of natural HCI. 展开更多
关键词 face recognition human computer interaction (HCI) foreground segmentation face detection THRESHOLD
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Eye movement prediction by oculomotor plant Kalman filter with brainstem control 被引量:4
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作者 Oleg V.KOMOGORTSEV Javed I.KHAN 《控制理论与应用(英文版)》 EI 2009年第1期14-22,共9页
Our work addresses one of the core issues related to Human Computer Interaction (HCI) systems that use eye gaze as an input. This issue is the sensor, transmission and other delays that exist in any eye tracker-base... Our work addresses one of the core issues related to Human Computer Interaction (HCI) systems that use eye gaze as an input. This issue is the sensor, transmission and other delays that exist in any eye tracker-based system, reducing its performance. A delay effect can be compensated by an accurate prediction of the eye movement trajectories. This paper introduces a mathematical model of the human eye that uses anatomical properties of the Human Visual System to predict eye movement trajectories. The eye mathematical model is transformed into a Kalman filter form to provide continuous eye position signal prediction during all eye movement types. The model presented in this paper uses brainstem control properties employed during transitions between fast (saccade) and slow (fixations, pursuit) eye movements. Results presented in this paper indicate that the proposed eye model in a Kalman filter form improves the accuracy of eye movement prediction and is capable of a real-time performance. In addition to the HCI systems with the direct eye gaze input, the proposed eye model can be immediately applied for a bit-rate/computational reduction in real-time gaze-contingent systems 展开更多
关键词 Eye movement prediction Bio engineering human computer interaction
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AR-assisted children book for smart teaching and learning of Turkish alphabets 被引量:1
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作者 Ahmed L ALYOUSIFY Ramadhan J MSTAFA 《Virtual Reality & Intelligent Hardware》 2022年第3期263-277,共15页
Background Augmented reality(AR),virtual reality(VR),and remote-controlled devices are driving the need for a better 5 G infrastructure to support faster data transmission.In this study,mobile AR is emphasized as a vi... Background Augmented reality(AR),virtual reality(VR),and remote-controlled devices are driving the need for a better 5 G infrastructure to support faster data transmission.In this study,mobile AR is emphasized as a viable and widespread solution that can be easily scaled to millions of end-users and educators because it is lightweight and low-cost and can be implemented in a cross-platform manner.Low-efficiency smart devices and high latencies for real-time interactions via regular mobile networks are primary barriers to the use of AR in education.New 5 G cellular networks can mitigate some of these issues via network slicing,device-to-device communication,and mobile edge computing.Methods In this study,we use a new technology to solve some of these problems.The proposed software monitors image targets on a printed book and renders 3 D objects and alphabetic models.In addition,the application considers phonetics.The sound(phonetic)and 3 D representation of a letter are played as soon as the image target is detected.3 D models of the Turkish alphabet are created by using Adobe Photoshop with Unity 3 D and Vuforia SDK.Results The proposed application teaches Turkish alphabets and phonetics by using 3 D object models,3 D letters,and 3 D phrases,including letters and sounds. 展开更多
关键词 human computer interaction 5 G Augmented reality IOT Turkish alphabet Smart teaching AR assisted book
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Review of dynamic gesture recognition 被引量:2
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作者 Yuanyuan SHI Yunan LI +2 位作者 Xiaolong FU Kaibin MIAO Qiguang MIAO 《Virtual Reality & Intelligent Hardware》 2021年第3期183-206,共24页
In recent years,gesture recognition has been widely used in the fields of intelligent driving,virtual reality,and human-computer interaction.With the development of artificial intelligence,deep learning has achieved r... In recent years,gesture recognition has been widely used in the fields of intelligent driving,virtual reality,and human-computer interaction.With the development of artificial intelligence,deep learning has achieved remarkable success in computer vision.To help researchers better understanding the development status of gesture recognition in video,this article provides a detailed survey of the latest developments in gesture recognition technology for videos based on deep learning.The reviewed methods are broadly categorized into three groups based on the type of neural networks used for recognition:two stream convolutional neural networks,3D convolutional neural networks,and Long-short Term Memory(LSTM)networks.In this review,we discuss the advantages and limitations of existing technologies,focusing on the feature extraction method of the spatiotemporal structure information in a video sequence,and consider future research directions. 展开更多
关键词 Video-based gesture recognition Deep learning Convolutional neural networks human computer interaction
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Mobile Devices Interface Adaptivity Using Ontologies
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作者 Muhammad Waseem Iqbal Muhammad Raza Naqvi +2 位作者 Muhammad Adnan Khan Faheem Khan T.Whangbo 《Computers, Materials & Continua》 SCIE EI 2022年第6期4767-4784,共18页
Currently,many mobile devices provide various interaction styles and modes which create complexity in the usage of interfaces.The context offers the information base for the development of Adaptive user interface(AUI)... Currently,many mobile devices provide various interaction styles and modes which create complexity in the usage of interfaces.The context offers the information base for the development of Adaptive user interface(AUI)frameworks to overcome the heterogeneity.For this purpose,the ontological modeling has been made for specific context and environment.This type of philosophy states to the relationship among elements(e.g.,classes,relations,or capacities etc.)with understandable satisfied representation.The contextmechanisms can be examined and understood by anymachine or computational framework with these formal definitions expressed in Web ontology language(WOL)/Resource description frame work(RDF).The Protégéis used to create taxonomy in which system is framed based on four contexts such as user,device,task and environment.Some competency questions and use-cases are utilized for knowledge obtaining while the information is refined through the instances of concerned parts of context tree.The consistency of the model has been verified through the reasoning software while SPARQL querying ensured the data availability in the models for defined use-cases.The semantic context model is focused to bring in the usage of adaptive environment.This exploration has finished up with a versatile,scalable and semantically verified context learning system.This model can be mapped to individual User interface(UI)display through smart calculations for versatile UIs. 展开更多
关键词 User context adaptive interfaces human computer interaction
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启明星UI支持系统应用研究
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作者 王俊潇 贾倩倩 杨帆 《科技资讯》 2020年第25期49-50,53,共3页
"企业信息化"是指通过对信息技术的应用、开发和使用企业的信息资源,提高管理水平、开发能力、经营水平的过程。中国从1994年正式接入互联网以来,二十多年的野蛮高速发展,中国的企业信息化建设已经取得了巨大成就。该文将从... "企业信息化"是指通过对信息技术的应用、开发和使用企业的信息资源,提高管理水平、开发能力、经营水平的过程。中国从1994年正式接入互联网以来,二十多年的野蛮高速发展,中国的企业信息化建设已经取得了巨大成就。该文将从企业信息化建设发展趋势和信息化产品开发流程角度研究分析"启明星UI支持系统"研发的必要性和重要性。 展开更多
关键词 B/S架构 humancomputer interaction Model METHODOLOGY
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Training birdsong recognition using virtual reality
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作者 Carlos ARCE-LOPERA María JoséARIAS Gustavo CORRALES 《Virtual Reality & Intelligent Hardware》 2021年第5期397-406,共10页
Background In mega-biodiverse environments,where different species are more likely to be heard than seen,species monitoring is generally performed using bioacoustics methodologies.Furthermore,since bird vocalizations ... Background In mega-biodiverse environments,where different species are more likely to be heard than seen,species monitoring is generally performed using bioacoustics methodologies.Furthermore,since bird vocalizations are reasonable estimators of biodiversity,their monitoring is of great importance in the formulation of conservation policies.However,birdsong recognition is an arduous task that requires dedicated training in order to achieve mastery,which is costly in terms of time and money due to the lack of accessibility of relevant information in field trips or even specialized databases.Immersive technology based on virtual reality(VR)and spatial audio may improve species monitoring by enhancing information accessibility,interaction,and user engagement.Methods This study used spatial audio,a Bluetooth controller,and a head-mounted display(HMD)to conduct an immersive training experience in VR.Participants moved inside a virtual world using a Bluetooth controller,while their task was to recognize targeted birdsongs.We measured the accuracy of recognition and user engagement according to the User Engagement Scale.Results The experimental results revealed significantly higher engagement and accuracy for participants in the VR-based training system than in a traditional computer-based training system.All four dimensions of the user engagement scale received high ratings from the participants,suggesting that VR-based training provides a motivating and attractive environment for learning demanding tasks through appropriate design,exploiting the sensory system,and virtual reality interactivity.Conclusions The accuracy and engagement of the VR-based training system were significantly high when tested against traditional training.Future research will focus on developing a variety of realistic ecosystems and their associated birds to increase the information on newer bird species within the training system.Finally,the proposed VR-based training system must be tested with additional participants and for a longer duration to measure information recall and recognition mastery among users. 展开更多
关键词 human computer interaction Virtual environment BIRDSONG Audio training User engagement
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A survey of immersive visualization:Focus on perception and interaction
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作者 Yue Zhang Zhenyuan Wang +2 位作者 Jinhui Zhang Guihua Shan Dong Tian 《Visual Informatics》 EI 2023年第4期22-35,共14页
Immersive visualization utilizes virtual reality,mixed reality devices,and other interactive devices to create a novel visual environment that integrates multimodal perception and interaction.This technology has been ... Immersive visualization utilizes virtual reality,mixed reality devices,and other interactive devices to create a novel visual environment that integrates multimodal perception and interaction.This technology has been maturing in recent years and has found broad applications in various fields.Based on the latest research advancements in visualization,this paper summarizes the state-of-theart work in immersive visualization from the perspectives of multimodal perception and interaction in immersive environments,additionally discusses the current hardware foundations of immersive setups.By examining the design patterns and research approaches of previous immersive methods,the paper reveals the design factors for multimodal perception and interaction in current immersive environments.Furthermore,the challenges and development trends of immersive multimodal perception and interaction techniques are discussed,and potential areas of growth in immersive visualization design directions are explored. 展开更多
关键词 human-centered computing VISUALIZATION Visualization theory Concepts and paradigms human computer interaction(HCI) interaction paradigms Virtual reality
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