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Artykuły w czasopismach na temat „Computer interface”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Vanshi, Sharma. "Brain Computer Interface." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 464–73. https://doi.org/10.35940/ijeat.F1609.089620.

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Computer Technology is advancing day by day and with that it has led to the idea of Brain Computer interaction. Modern computers are advancing parallelly to our understanding of the human brain. This paper basically deals with the technology of BCI (Brain Computer Interface) that can capture brain signals and translate these signals into commands that will allow humans to control devices just by thinking. These devices can be robots, computers or virtual reality environment. The basis of BCI is a pathway connecting the brain and an external device. The aim is to assist, augment or repair human

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Vadza, Kejal Chintan. "Brain Gate & Brain Computer Interface." International Journal of Scientific Research 2, no. 5 (2012): 45–49. http://dx.doi.org/10.15373/22778179/may2013/19.

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Bhansali, Aayush, Shivani Vhatkar, Shamoil Arsiwala, Aditi Srivastava, and M. K Nivangune. "Human Computer Interface for Physically Impaired." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1017–20. https://doi.org/10.21275/sr21614115725.

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BABUŠIAK, Branko, and Martin KNOCIK. "BIO-AMPLIFIER FOR BRAIN COMPUTER INTERFACE." Acta Electrotechnica et Informatica 14, no. 3 (2014): 11–15. http://dx.doi.org/10.15546/aeei-2014-0022.

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Bartz, Christina. "Der Computer in der Küche." Zeitschrift für Medien- und Kulturforschung 9, no. 2 (2018): 13–26. http://dx.doi.org/10.28937/1000108172.

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Der Honeywell Kitchen Computer von 1969 ist einer der ersten Rechner, der für den Heimgebrauch hergestellt wurde. Schon allein aufgrund seines wenig benutzerfreundlichen Interfaces, das im Widerspruch zur nicht-professionellen Nutzung in der häuslichen Sphäre steht, stellt er eine Kuriosität dar. Zugleich weist er Aspekte auf, die die Idee eines Computers zu Hause plausibilisieren. Dazu gehört u.a. die Gestaltung des Interfaces, aber auch die Küche als Ort der heimischen Arbeit. In 1969, the Honeywell Kitchen Computer was the first data processor that was built explicitly for home use. Resembl

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Williams, Evelyn, and Evelyn Hewlett-Packard. "Panel on Visual Interface Design." Proceedings of the Human Factors Society Annual Meeting 33, no. 5 (1989): 323–24. http://dx.doi.org/10.1177/154193128903300519.

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User interface design has many components. Usable computer interfaces should be easy to learn, result in high user productivity and high user satisfaction. There are a number of components in user interface design that affect the usability of the interface. Within the human factors community we tend to emphasize the ergonomic and cognitive components of the computer interface. There is another component that is frequently ignored, the visual interface design. This panel will present information on the visual component in various user-computer interfaces and will discuss the contributions of th

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Zhang, Ruoyao. "Enhancing Human-Computer Interaction through Brain-Computer Interface: Technological Advances." Applied and Computational Engineering 145, no. 1 (2025): 170–75. https://doi.org/10.54254/2755-2721/2025.22240.

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Brain-Computer Interface (BCI) has gained significant attention due to its potential to transform human-computer interaction (HCI), especially through non-invasive methods like electroencephalography (EEG). This essay explores the fundamental principles of non-invasive BCIs, focusing on EEG-based signal acquisition, preprocessing, and decoding techniques. It examines the role of various machine learning and deep learning algorithms in enhancing the accuracy and efficiency of neural signal interpretation, including supervised learning, unsupervised learning, CNN, RNN, and transformers. These ke

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Li, Jiayi. "Brain-computer interface for the treatment of mental illness." Theoretical and Natural Science 16, no. 1 (2023): 93–96. http://dx.doi.org/10.54254/2753-8818/16/20240539.

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A brain-computer interface is a direct communication channel between the brain and external devices. Its signals come from the central nervous system, and its transmission is independent of the peripheral nervous and muscular systems. Brain-computer interface commonly used to assist, enhance, and repair human-motor sensations. Through the classification and recognition of Electroencephalogram (EEG) signals, the monitoring and rehabilitation of some neurological and psychological diseases can be realized. Brain-computer interfaces are currently in their infancy and are being explored. Non-invas

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MANARIS, BILL Z. "AN ENGINEERING ENVIRONMENT FOR NATURAL LANGUAGE INTERFACES TO INTERACTIVE COMPUTER SYSTEMS." International Journal on Artificial Intelligence Tools 03, no. 04 (1994): 557–79. http://dx.doi.org/10.1142/s0218213094000303.

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This paper discusses the development of natural language interfaces to interactive computer systems using the NALIGE user interface management system. The task of engineering such interfaces is reduced to producing a set of well-formed specifications which describe lexical, syntactic, semantic, and pragmatic aspects of the selected application domain. These specifications are converted by NALIGE to an autonomous natural language interface that exhibits the prescribed linguistic and functional behavior. Development of several applications is presented to demonstrate how NALIGE and the associate

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Hix, Deborah. "Assessment of an Interactive Environment for Developing Human-Computer Interfaces." Proceedings of the Human Factors Society Annual Meeting 30, no. 14 (1986): 1349–53. http://dx.doi.org/10.1177/154193128603001401.

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The goal of this research was to empirically evaluate the usefulness of an interactive environment for developing human-computer interfaces. In particular, it focused on a set of interactive tools, called the Author's Interactive Dialogue Environment (AIDE), for human-computer interface implementation. AIDE is used by an interface design specialist, called a dialogue author, to implement an interface by directly manipulating and defining its objects, rather than by the traditional method of writing source code. In a controlled experiment, a group of dialogue author subjects used AIDE 1.0 to im

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ELLENBOGEN, RICHARD G., and TIMOTHY H. LUCAS. "Brain Computer Interface." Neurosurgery 58, no. 6 (2006): N6. http://dx.doi.org/10.1227/01.neu.0000310229.79613.24.

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Dingra Ruchika Khaitan, Spardha Taneja Jyotika. "Brain Computer Interface." IOSR Journal of Computer Engineering 16, no. 2 (2014): 41–47. http://dx.doi.org/10.9790/0661-162124147.

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Arbel, Yael. "Brain-Computer Interface." ASHA Leader 12, no. 12 (2007): 14–15. http://dx.doi.org/10.1044/leader.ftr5.12122007.14.

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Berger, Nevin. "Computer humor interface." Interactions 12, no. 5 (2005): 72. http://dx.doi.org/10.1145/1082369.1082423.

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ELLENBOGEN, RICHARD G., and TIMOTHY H. LUCAS. "Brain Computer Interface." Neurosurgery 58, no. 6 (2006): N6. http://dx.doi.org/10.1227/00006123-200606000-00031.

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Manovich, Lev. "Friendly Alien: Object and Interface." Artifact 1, no. 1 (2007): 30–32. http://dx.doi.org/10.1386/art.1.1.30_1.

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Abstract Since 1996, artist Miltos Manetas has done paintings that systematically portray the new essential objects of contemporary life: joysticks, computers, computer game consoles, and computer cables (lots of them). Manetas also paints people who are usually intensely engaged in the activities made possible by consumer electronics devices, such as playing a computer game. But he never shows what games they are playing or what images they are looking at. Instead, he focuses on the humancomputer interface: hands clutching a joystick, a body stretched across the floor in the intense concentra

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Nurse, David R., and Timothy J. James. "An Adaptable Computer Interface for Radioimmunoassay." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 30, no. 3 (1993): 298–303. http://dx.doi.org/10.1177/000456329303000312.

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To assist data handling of results derived from radioimmunoassay the RIACalc Multigamma counter package was interfaced to a laboratory information system. The interface was bidirectional and allowed transfer of worklists and results. A suite of programs was written for the laboratory information system that enabled flexible data processing to meet a range of laboratory requirements. One utility within the suite contained a simple user definable rule based routine for automatically requesting additional tests. Use of the interface and new software improved laboratory efficiency and illustrated

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Peters, Gabriele. "Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists." International Journal of Creative Interfaces and Computer Graphics 2, no. 1 (2011): 68–98. http://dx.doi.org/10.4018/jcicg.2011010105.

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Interaction in modern human-computer interfaces is most intuitively initiated in an image-based way. Often images are the key components of an interface. However, too frequently, interfaces are still designed by computer scientists with no explicit education in the aesthetic design of interfaces and images. This article develops a well-defined system of criteria for the aesthetic design of images, motivated by principles of visual information processing by the human brain and by considerations of the visual arts. This theoretic disquisition establishes a framework for the evaluation of images

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Chen, Anqi, Feng Xie, Jingbo Wang, and Jun Chen. "Intelligent Optimization Method of Human–Computer Interaction Interface for UAV Cluster Attack Mission." Electronics 12, no. 21 (2023): 4426. http://dx.doi.org/10.3390/electronics12214426.

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In modern warfare, it is often necessary for the operator to control the UAV cluster from a ground control station to perform an attack task. However, the absence of an effective method for optimizing the human–computer interface in ground control stations for UAV clusters leads to usability difficulties and heightens the probability of human errors. Hence, we propose an optimization framework for human–computer interaction interfaces within UAV ground control stations, rooted in interface-essential elements. Specifically, the interface evaluation model was formulated by combining the Salient,

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Yoon, Joongsun. "A Brain-Computer Interface Based Human-Robot Interaction Platform." Journal of the Korea Academia-Industrial cooperation Society 16, no. 11 (2015): 7508–12. http://dx.doi.org/10.5762/kais.2015.16.11.7508.

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Pineda, Roger Gacula. "Where the Interaction Is Not." International Journal of Art, Culture and Design Technologies 5, no. 1 (2016): 1–12. http://dx.doi.org/10.4018/ijacdt.2016010101.

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The concept of interaction is foundational in technology interface design with its presuppositions being taken for granted. But the interaction metaphor has become ambiguous to the extent that its application to interface design contributes to misalignments between people's expected and actual experience with computers. This article re-examines the presuppositions governing human-computer interaction with the motivation of strengthening weaknesses in their foundational concepts. It argues for abandoning the interaction metaphor to refocus design discourse toward the mediation roles of technolo

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Fish, R. S., K. Gandy, D. L. Imhoff, and R. A. Virzi. "Tool Sharpening: Designing a Human-Computer Interface." Proceedings of the Human Factors Society Annual Meeting 29, no. 5 (1985): 475–79. http://dx.doi.org/10.1177/154193128502900516.

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In software engineering the argument in favor of using software tools to produce robust code is widely accepted. We maintain that the use of such tools is key to the engineering of effective user interfaces as well. Here we report on our experiences using a variety of tools to design a user interface, including cases where it was necessary to alter (sharpen) the tool in order to do the job properly. In addition to producing an effective interface, this approach led to shortened development time and far greater adherence to human systems engineering requirements. We believe that the long-term s

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Brockmann, R. John. "A Homunculus in the Computer?" Journal of Technical Writing and Communication 27, no. 2 (1997): 119–45. http://dx.doi.org/10.2190/e7hl-a1v3-rtuy-8pe2.

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The 1995 appearance of Microsoft's Bob interface directly poses the question of how anthropomorphic the human computer interface design should be. A historical approach to the question offers three important observations to designers: 1) that the impulse to anthropomorphicize technology has been longstanding and has been employed with artifacts other than computers; 2) that the normal evolution of technologies proceeds through an introductory phase during which a culture becomes acclimatized to the new technology; moreover, one of the methods by which cultures have traditionally become acclima

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Chen, Ding, Yicheng Ding, Xiaoyu Du, Zimo Hao, and Jiale Liu. "Review on Human-computer Interaction Technology and Market Development." Highlights in Science, Engineering and Technology 122 (December 16, 2024): 183–87. https://doi.org/10.54097/b0p7nw58.

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Human-computer interaction (Human-Computer Interaction, HCI) mainly studies the information exchange between users and systems, and it mainly includes two parts: user-to-system and system-to-user information exchange. Human-computer interaction technology, as an interface for information exchange between humans and computers and a human-centered methodology to guide system development, plays a very important role in the development of both humans and computers. The opportunities for human-computer interaction are enormous. Advances in more practical and natural human-computer interfaces are in

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Sreejith, S., M. Saminathan, K. Vishnu, and M. Vikash. "Advancements and Applications of Brain-Computer Interface Technology in Healthcare -A Review." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43406.

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For centuries, scientists, academics, and engineers have been fascinated by the human brain, which is considered the most advanced organ. Exploration of the human brain's capacities and complexities is intriguing and exciting, stretching the limits of neuroscience and technology. Among the most noteworthy developments in this field is the creation of the Brain-Computer Interface (BCI) technology, which creates an amazing link between the human brain and machines or computers. The BCI system offers the possibility to connect with the human brain or thinking through technology, representing a so

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Mróz, Katarzyna, and Małgorzata Plechawska-Wójcik. "Analysis of the application of brain-computer interfaces of a selected paradigm in everyday life." Journal of Computer Sciences Institute 23 (June 30, 2022): 118–22. http://dx.doi.org/10.35784/jcsi.2906.

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The main objective of this paper is to carry out a research on the analysis of the use of brain-computer interface in everyday life. In this paper, various methods of recording brain activity are presented. Special attention is given to electroencephalography, which was used in the study. The brain activity used in the brain-computer interface and the general principle of brain-computer interface design are also described. The performed study allowed to develop an analysis of the obtained results in the matter of evaluating the usability of brain-computer interfaces using motor imagery. In the

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Abrahamian, Edmond, Jerry Weinberg, Michael Grady, and C. Stanton. "The Effect of Personality-Aware Computer-Human Interfaces on Learning." JUCS - Journal of Universal Computer Science 10, no. (1) (2004): 27–37. https://doi.org/10.3217/jucs-010-01-0027.

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Traditional software used for student-centered learning typically provides for a uniform user interface through which the student can interact with the software, and through which the information is delivered in a uniformly identical fashion to all users without regard to their learning style. This research classifies personality types of computer science undergraduate students using the Myers-Briggs Type Indicator, relates these types of personalities to defined learning preferences, and tests if a given user interface designed for a given learning preference enhances learning. The general ap

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Langote, Meher, Saniya Saratkar, Praveen Kumar, et al. "Human–computer interaction in healthcare: Comprehensive review." AIMS Bioengineering 11, no. 3 (2024): 343–90. http://dx.doi.org/10.3934/bioeng.2024018.

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<p>Technological advancements have fundamentally transformed healthcare systems and significantly altered the interactions between medical professionals and information interfaces. This study provides a comprehensive review of the role of human–computer interaction (HCI) in healthcare, emphasizing the importance of user-centered design and the integration of emerging technologies. The paper reviews the evolution of healthcare interfaces, exploring key assumptions in foundational HCI principles and theoretical frameworks that guide the design processes. The analysis delves into the applic

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Lu, Junshi, and Yujia Peng. "Brain-Computer Interface for Cyberpsychology." International Journal of Cyber Behavior, Psychology and Learning 4, no. 1 (2014): 1–14. http://dx.doi.org/10.4018/ijcbpl.2014010101.

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As a new way of implementing human-computer interface, brain-computer interfaces (BCI) dramatically change the user experiences and have broad applications in cyber behavior research. This methodological review attempts to provide an overall picture of the BCI science and its role in cyberpsychology. After an introduction of BCI and the literature search methods used in this review, we offer an overview of terms, history, components, methods and signals used in BCI. Different applications of BCI on both the clinical population and the healthy population are summarized in detail, with a conclus

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Gao, Xiaorong, Yijun Wang, Xiaogang Chen, and Shangkai Gao. "Interface, interaction, and intelligence in generalized brain–computer interfaces." Trends in Cognitive Sciences 25, no. 8 (2021): 671–84. http://dx.doi.org/10.1016/j.tics.2021.04.003.

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Bakay, Roy A. E. "Limits of brain–computer interface." Neurosurgical Focus 20, no. 5 (2006): 1–4. http://dx.doi.org/10.3171/foc.2006.20.5.7.

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✓Most patients who are candidates for brain–computer interface studies have an injury to their central nervous system and therefore may not be ideal for rigorous testing of the full abilities and limits of the interface. This is a report on a quadriplegic patient who appeared to be a reasonable candidate for intracranial implantation of neurotrophic electrodes. He had significant cortical atrophy in both the motor and parietal cortical areas but was able to generate signal changes on functional magnetic resonance images by thinking about hand movements. Only a few low-amplitude action potentia

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Zhao, Xue Mei. "Realization of Serial Port Expansion Circuit." Applied Mechanics and Materials 271-272 (December 2012): 1597–601. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.1597.

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This article describes the design of a interface chip with serial port expansion circuit of computer in industrial applications. It is used to connect with 422 and RS232 interfaces. Circuits involved several major chip such as the interface of 422 and RS232 and UART(Universal Asynchronous Receiver Transmitter)16C550 Inside the computer. Paper describes the composition of the hardware circuit, theory and implementation and initialization programming of URAT interface chip. We use interface chip with the FIFO to the circuit, It improves the efficiency of the application software, And it solves t

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Sasne, Ajinkya, Ashutosh Banait, Apurva Raut, and Vishal Raut. "Brain Machine Interface." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3641–42. http://dx.doi.org/10.22214/ijraset.2022.43218.

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Abstract— Brain Machine Interface is also known as ‘A brain-computer inteface’.A brain-computer interface (BCI), sometimes called a direct neural interface or a brain-machine interface, is a direct communication pathway between a human or animal brain and an external device. In one-way BCIs, computers either accept commands from the brain or send signals to it (for example, to restore vision) but not both. Two-way BCIs would allow brains and external devices to exchange information in both directions but have yet to be successfully implanted in animals or humans. In this definition, the word b

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Lindsay, R. P., and R. T. Friedmann. "CADS/Computer Wiring Interface." IEEE Transactions on Energy Conversion EC-1, no. 2 (1986): 82–87. http://dx.doi.org/10.1109/tec.1986.4765704.

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Riggs, Leland S., and Choong-Hee Han. "A Computer simulatin Interface." Computer-Aided Civil and Infrastructure Engineering 6, no. 1 (1991): 27–33. http://dx.doi.org/10.1111/j.1467-8667.1991.tb00395.x.

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Lindsay, R. P., and R. T. Friedmann. "CADS/Computer Wiring Interface." IEEE Power Engineering Review PER-6, no. 6 (1986): 44. http://dx.doi.org/10.1109/mper.1986.5528009.

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Morris, D. "Human-Computer Interface Recording." Computer Journal 31, no. 5 (1988): 437–44. http://dx.doi.org/10.1093/comjnl/31.5.437.

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Kieras, David. "The Human–Computer Interface." Contemporary Psychology: A Journal of Reviews 32, no. 5 (1987): 435–36. http://dx.doi.org/10.1037/027124.

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Ryan, Christopher D. "The human-computer interface." ACM SIGCSE Bulletin 33, no. 4 (2001): 51–54. http://dx.doi.org/10.1145/572139.572170.

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Langmoen, Iver A., and Jon Berg-Johnsen. "The Brain-Computer Interface." World Neurosurgery 78, no. 6 (2012): 573–75. http://dx.doi.org/10.1016/j.wneu.2011.10.021.

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Büyükgöze, Selma. "THE BRAIN-COMPUTER INTERFACE." International Conference on Technics, Technologies and Education, ICTTE 2019 (2019): 133–38. http://dx.doi.org/10.15547/ictte.2019.02.094.

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The Brain-Computer Interface (BCI), defined as systems that allow people to use a computer, an electromechanical arm or various neuroprostheses without the use of motor nervous systems, is a communication pathway used to establish direct communication between the brain and a peripheral interface. The brain-computer interface is often used to help or repair human cognitive or sensory motor functions. However, with today's developing technology, it hasn’t only been used for this purpose and has started to be used in many different areas from advertising, to smart peripheral systems, to games, ev

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Friedman, Doron, Robert Leeb, Gert Pfurtscheller, and Mel Slater. "Human-Computer Interface Issues in Controlling Virtual Reality With Brain-Computer Interface." Human-Computer Interaction 25, no. 1 (2010): 67–94. http://dx.doi.org/10.1080/07370020903586688.

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Gong, Qing, and Gavriel Salvendy. "Design of Skill-Based Adaptive Interface: The Effect of a Gentle Push." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 4 (1994): 295–99. http://dx.doi.org/10.1177/154193129403800423.

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To accommodate individual skill differences in using a computer interface, a skill adaptive interface was designed and tested. Current human-computer interaction modes can be classified into two types, recall and recognition based interfaces. They have different memory requirements and generally allow different operating speeds and learning time. However, a static combination of the two interface modes has drawbacks. The dynamic skill adaptive interface introduced in this study tries to eliminate these problems without sacrificing the advantages from either interface modes by gently ‘pushing’

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SU, MU-CHUN, SHI-YONG SU, and GWO-DONG CHEN. "A LOW-COST VISION-BASED HUMAN-COMPUTER INTERFACE FOR PEOPLE WITH SEVERE DISABILITIES." Biomedical Engineering: Applications, Basis and Communications 17, no. 06 (2005): 284–92. http://dx.doi.org/10.4015/s1016237205000433.

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The object of this paper is to present a low-lost vision-based computer interface which allows people with disabilities to use their head movements to manipulate computers. Our system requires only one low-cost web camera and a personal computer. Several experiments were conducted to test the performance of the proposed human-computer interface.

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Rathod, Priyank Jayantilal. "Brain-Computer Interface, Generative AI (GAI)." Journal of Artificial Intelligence & Cloud Computing 2, no. 4 (2023): 1–3. http://dx.doi.org/10.47363/jaicc/2023(2)285.

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Brain-computer interface (BCI) is an interface (or sort of a system) by which humans can communicate with computers. The real question arises about why humans must communicate with the computer via brain signals. There are over a million or more people suffering from diseases or malfunctions of motor ability where mobility is limited, or there is no mobile at all. This interface allows these individuals to communicate with the outside world. Such diseases would rise yearly as more techniques and methods become available to diagnose them. While there is no cure for such injuries or diseases, th

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Li, Wei Wei, and Xiang Li. "Computer Digital Technology on the Development of Graphical Interfaces." Advanced Materials Research 171-172 (December 2010): 468–72. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.468.

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graphic user interface and digital products as a user interface for interactive operations, will undoubtedly become the key to improving the user experience. "Man-machine interface design" as a new and important subject, in a profound impact on computers, mobile phones, PDA, tablet touch device development, the rapid development of computer digital technology and new products are emerging also graphics interface of the far-reaching change.

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Reilly, Ralph T. "Gender Specific User Design Face vs. Interface." International Journal of Management & Information Systems (IJMIS) 13, no. 1 (2011): 9. http://dx.doi.org/10.19030/ijmis.v13i1.4937.

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Human factors research has shown that the design and display of computer graphics plays a crucial role in the user operability of computer applications. In the future people will communicate with a face on the computer display screen. Already, advancements in artificial intelligence allow humans to communicate with computers through voice pattern recognition. Current work in artificial intelligence will allow the computer and user to read each others facial expressions, understanding what can be communicated through facial mechanics. Research in facial emotion processing has suggested that gen

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Evans, P. T., J. M. Vance, and V. J. Dark. "Assessing the Effectiveness of Traditional and Virtual Reality Interfaces in Spherical Mechanism Design." Journal of Mechanical Design 121, no. 4 (1999): 507–14. http://dx.doi.org/10.1115/1.2829490.

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Virtual reality (VR) interfaces have the potential to enhance the engineering design process, but before industry embraces them, the benefits must be understood and documented. The current research compared two software applications, one which uses a traditional human-computer interface (HCI) and one which uses a virtual reality HCI, that were developed to aid engineers in designing complex three-dimensional spherical mechanisms. Participants used each system to design a spherical mechanism and then evaluated the different interfaces. Participants rated their ability to interact with the compu

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Zhao, Yiyi. "Interaction Design System for Artificial Intelligence User Interfaces Based on UML Extension Mechanisms." Mobile Information Systems 2022 (June 16, 2022): 1–8. http://dx.doi.org/10.1155/2022/3534167.

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With the rapid development of computer network technology in recent years, more and more demands have been placed on the functionality and attributes of the user interface. In the development of many computer projects, the variability and flexibility of user interface requirements have greatly increased the complexity of program development for researchers. In addition, the poor reusability of page access control writing has created a pressing need for a highly standardized and flexible way of developing software. Thus, the development and design of user interfaces for application software sys

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Jylhä, Henrietta, and Juho Hamari. "Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons." User Modeling and User-Adapted Interaction 30, no. 5 (2020): 949–82. http://dx.doi.org/10.1007/s11257-020-09263-7.

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Abstract Graphical user interfaces are widely common and present in everyday human–computer interaction, dominantly in computers and smartphones. Today, various actions are performed via graphical user interface elements, e.g., windows, menus and icons. An attractive user interface that adapts to user needs and preferences is progressively important as it often allows personalized information processing that facilitates interaction. However, practitioners and scholars have lacked an instrument for measuring user perception of aesthetics within graphical user interface elements to aid in creati

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