In Virtuo Molecular Analysis Systems: Survey and New Trends

Extended-Reality Technologies: An Overview of Emerging Applications in Medical Education and Clinical Care.

Virtual Reality (VR) technology, characterized by immersive environments entirely generated by computers, has gained significant attention during the fifth information revolution. This paper explores the core elements of VR—Immersion, Interaction, and Imagination—as described by Burdea and Coiffet (1994). It emphasizes the importance of virtual embodiment in enhancing user experience within VR gaming. The development of technologies such as the CAVE system, head-mounted displays (HMDs), handheld controllers, haptic feedback devices, and full-body motion tracking systems are discussed in detail. Furthermore, the study delves into human-computer interaction (HCI) techniques crucial for immersive VR experiences and the principles of effective user experience (UX) evaluation. The significance of personalization and user comfort in VR environments, including addressing motion sickness and latency issues, is highlighted. This paper underscores the need for continuous improvement and user-centered design to optimize VR experiences. Ultimately, the paper suggests that VR technology’s future relies on balancing technical advancements with a deep understanding of user needs to create more immersive and satisfying virtual experiences.

Advanced human-computer interaction (HCI) techniques are required to enhance current computer interfaces. In this paper, we present an eye gaze tracking system based on a robust low-cost real-time pupil detector, and we describe some eye-aware applications that are being developed to enhance HCI. Images of pupils are segmented using an active lighting scheme that exploits very particular properties of eyes. Once the pupil is detected, its center is tracked, along with the corneal reflection (CR) generated by the light sources. Assuming little head motion, the eye gaze direction is computed based on the vector between the centers of the CR and the pupil, after a brief calibration procedure. Other information, such as pupil size and blink rate, can also be made available. The current prototype runs at frame rate, providing 30 samples of the gaze position per second to gaze-aware applications, such as advanced pointing and selection mechanisms.

Net neighbours: adapting HCI methods to cross the digital divide

It is becoming increasingly necessary to systematically take into account human interaction and activity with the completely renewed social and cultural environments that such digital environments and interfaces are now capable of delivering. Cross-Disciplinary Advances in Human Computer Interaction: User Modeling, Social Computing, and Adaptive Interfaces collects chapters covering the most recent, in-depth issues within the field of human computer interaction (HCI). A necessary reference source for those in academia as well as the HCI industry, this book presents useful new approaches and methodologies for analysis, design, and evaluation.

Yüz ifadeleri, duygulara kişilerarası iletişimde anlam bütünlüğü kazandıran evrensel işaretlerdir. Aynı zamanda yüz ifadelerindeki değişimler, duygu psikolojisinde en önemli ipuçları olarak kabul edilmektedir. Yüz ifade analizinin; insan davranışlarının analizi, insan-insan etkileşimi ve insan-bilgisayar etkileşimi gibi çok geniş bir uygulama yelpazesi vardır. İnsanlar yüz ifadelerini tanımada ve yorumlamada herhangi bir sorun yaşamazken bu işlem bilgisayarlarda zorlu bir problem olarak karşımıza çıkmaktadır. Fakat özellikle insan-bilgisayar etkileşiminde yaşanan gelişmelerle birlikte, insanlara ait duyguların bilgisayarlar tarafından anlaşılması elzem bir konu haline gelmiştir. Bunun yanında güvenlik, psikoloji, sağlık, robotik ve sanal gerçeklilik gibi birçok çalışma alanında da yüz ifadelerinin analizi ve tanıması giderek yaygınlaşmıştır. Bu nedenlerden dolayı, yüz ifadelerinin hızlı bir şekilde analiz edilmesi ve analiz edilen yüz ifadelerinin doğru olarak tanınması farklı uygulama alanlarında birçok yazılım sistemi için kritik bir rol oynamaktadır. Bu çalışmada, yüz ifadelerinin tanıması ile ilgili literatürde yapılan çalışmalar incelenmiş ve yüz ifadelerinin analizinde kullanılan bazı yöntemlere yer verilmiştir.

Dragging is a fundamental interaction technique in human-computer interaction. Prior research on dragging has generally been concerned with 2D objects on 2D interactive surfaces, with limited attention to 3D interactive spaces. We performed three experiments to systematically investigate dragging using raycasting in virtual reality (VR), a representative 3D interactive environment. The first experiment examined dragging 2D targets on 2D surfaces placed in VR. The second experiment investigated dragging 3D targets positioned at identical depths in VR. Both experiments examined the effects of target depth, angular target amplitude, and angular target on dragging performance. The third experiment investigated dragging 3D targets with varying depths, focusing on the effects of target layout, target amplitude, and target width. Findings revealed the different impacts of the above factors on dragging interaction. We also proposed a new 3D Fitts' law model tailored for dragging using raycasting in VR, which fits well with our data. Finally, we discuss our results and provide design recommendations for dragging (i.e., translational positioning) tasks using raycasting under the tested experimental conditions in VR.

Human-Computer Interaction (HCI) techniques are important in visualization because a good combination of them can help users to design a good visualization system while optimizing its visualization effects. In order to incorporate different HCI techniques to ‘work together’ to achieve the synergy effects for optimizing graphical scalable visualization, three of them, i.e. goal, task and scenario analyses, are applied to an XML visualization system1 which has just been recently developed last year. The order of applying these HCI techniques will be researched upon. The recognition of patterns and models in a visualization system1 is important because this affects the efficiency of visual queries to be processed by the intended viewer. Singularity of forms for patterns recognition during visualization is important for designing user interfaces. The reason is that when designing visual interfaces to an interactive program, a good visualization system should decide how the visual information should change in response to every action taken by the users.

Ergonomic perspectives on advances in human-computer interaction

Cognitive evaluation for the diagnosis of Alzheimer's disease based on Turing Test and Virtual Environments

The existing software engineering seldom considers software usability, and human-computer interaction (HCI) techniques which can improve the software usability cannot guarantee development efficiency. Recently, more and more stakeholders and users begin to regard the usability as an important software requirement. In order to bring respective advantages of software engineering and HCI techniques into full play to improve software usability and development efficiency, the paper presents user model driven software development, which integrates HCI techniques into software development method by eliciting user model under the participation of user, HCI designer and software engineer. Applications show that the method can be effectively applied to small software development team, and can raise software usability and development efficiency.

This paper presents the development of an advanced Human-Computer Interaction (HCI) model and algorithm integrating Natural Language Processing (NLP) to optimize Virtual Reality (VR) systems for educational and business applications. The proposed model enhances user experience and operational efficiency by addressing interface design, user engagement, real-time data processing, and accessibility. Continuous learning and contextual data integration ensure adaptive and personalized interactions, improving the functionality and applicability of VR environments. Fig.: 2. Refs.: 11 titles.

Notice of Violation of IEEE Publication Principles<br><br>"Advanced Recognition Techniques for Human Computer Interaction"<br>by Chetan A. Burande, Raju M. Tugnayat, Nitin K. Choudhary<br>in the Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE), February 2010, pp. 480-483<br><br>After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. <br><br>This paper contains substantial duplication of text and figures from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.<br><br> Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:<br><br>"Hand Gesture Recognition for Human-Machine Interaction"<br>by Elena Sanchez-Nielsen (1), Luis Anton-Canalis (1), Mario Hernandez-Tejera (2)<br>in the Journal of WSCG, Vol 12, No. I-3, February 2003, pp. 395-402<br><br> <br/> Hand gestures are an important modality for human computer interaction (HCI). Compared to many existing interfaces, hand gestures have the advantages of being easy to use, natural, and intuitive. Successful applications of hand gesture recognition include computer games control, human-robot interaction, and sign language recognition, to name a few. Vision-based recognition systems can give computers the capability of understanding and responding to hand gestures. The aim of this technique is the proposal of a real time vision system for its application within visual interaction environments through hand gesture recognition, using general-purpose hardware and low cost sensors, like a simple personal computer and an USB web cam, so any user could make use of it in his office or home. The basis of our approach is a fast segmentation process to obtain the moving hand from the whole image, which is able to deal with a large number of hand shapes against different backgrounds and lighting conditions, and a recognition process that identifies the hand posture from the temporal sequence of segmented hands. The use of a visual memory (Stored database) allows the system to handle variations within a gesture and speed up the recognition process through the storage of different variables related to each gesture. A hierarchical gesture recognition algorithm is introduced to recognize a large number of gestures. Three stages of the proposed algorithm are based on a new hand tracking technique to recognize the actual beginning of a gesture using a Kalman filtering process, hidden Markov models and graph matching. Processing time is important in working with large databases. Therefore, special cares are taken to deal with the large number of gestures.

Alzheimer's screening tests are currently used by doctors as part of a thorough patient examination. These tests are performed periodically in specific time intervals trying to estimate the patient's condition and stage as early as possible. This work proposes a novel e-health Alzheimer's screening test based on virtual environments using new immersive technologies combined with advanced Human Computer Interaction (HCI) systems. These new tests are focused on the immersion of the patient in a virtual room, in order to mislead and deceive the patient's mind. As a result, two new tests are introduced demonstrating the wide range of screening mechanisms that could be designed using virtual environments. The proposed tests are focused on the evaluation of memory loss related to common objects, recent conversations and events, the diagnosis of problems in expressing and understanding language and the ability to differentiate between virtual worlds and reality. The proposed screening tests were evaluated and tested using both patients and healthy adults in a comparative study with state-of-the-art Alzheimer's screening tests.

Abstract: Advanced Human–Computer Interaction: The Latest Innovations in Technology reconceptualizes interaction as a closed-loop partnership between people and computational systems across screens, wearables, spatial computing, and agentic interfaces. Integrating cognitive, embodied, and sociotechnical perspectives, the book advances a layered framework that links theory and constructs to design patterns, measurement, and at-scale evidence. It formalizes multimodal interaction as information fusion under uncertainty; specifies mixed-initiative protocols for generative, adaptive, and explainable systems; and treats privacy, safety, and sustainability as first-class design constraints rather than afterthoughts. Methods span controlled experiments, qualitative and participatory inquiry, causal inference, and telemetry-based field studies, tied to reproducibility standards and open artifacts. Cross-regional case studies—healthcare, mobility, education, industry, and civic tech—surface robust, accessibility-first practices that travel across cultures and devices. The book culminates in an actionable 2025–2035 research agenda: interoperable multimodal stacks; certified agentic UIs with auditable memory and boundaries; inclusive affect/BCI toolkits; carbon-aware interaction budgets; and global benchmarks aligning academia, standards bodies, and practitioners. Designed for researchers, practitioners, and policymakers, the volume converts frontier advances in ML, sensing, and design into deployable, auditable, and equitable HCI. Keywords: human–computer interaction, multimodal interaction, spatial computing, generative AI, explainable AI, mixed-initiative systems, personalization, accessibility, affective computing, physiological sensing, brain–computer interfaces, causal inference, evaluation methods, privacy-by-design, safety and assurance, robustness, reproducibility, sustainability, edge AI