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1

Shorrock, Brian. "Systems Design and HCI". Journal of the Operational Research Society 41, n.º 9 (septiembre de 1990): 896. http://dx.doi.org/10.1057/jors.1990.141.

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2

Abbott, Martin J. "A Living Systems Theory Approach to Human-Computer Interface Design". Proceedings of the Human Factors Society Annual Meeting 33, n.º 4 (octubre de 1989): 219–23. http://dx.doi.org/10.1177/154193128903300404.

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This paper presents Living Systems Theory (Miller, 1978) as a conceptual framework for human-computer interface (HCI) design. Many researchers and practitioners in the field of HCI design have used systems terms and concepts in their work; however, it is not clear that an integrated systems approach has been taken in the field of HCI design. Living Systems Theory (LST) is proposed as the means for obtaining a conceptual framework for the study of the HCI. Miller clearly defines terms and concepts that can serve as a “common language” to improve communication within and across disciplines. It is likely that a multidisciplinary field such as HCI design could benefit from LST. Specifically, by adopting this “common language”, researchers and practitioners in the field of HCI could improve communication with other disciplines which could facilitate the sharing or information across disciplines.
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3

Bentvelzen, Marit, Paweł W. Woźniak, Pia S. F. Herbes, Evropi Stefanidi y Jasmin Niess. "Revisiting Reflection in HCI". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, n.º 1 (29 de marzo de 2022): 1–27. http://dx.doi.org/10.1145/3517233.

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Reflection is a commonly addressed design goal in commercial systems and in Human-Computer Interaction (HCI) research. Yet, it is still unclear what tools are at the disposal of designers who want to build systems that support reflection. Understanding the design space of reflection support systems and the interaction techniques that can foster reflection is necessary to enable building technologies that contribute to the users' well-being. In order to gain additional insight into how interactive artefacts foster reflection, we investigated past research prototypes and reflection-supporting smartphone applications (apps). Through a structured literature review and an analysis of app reviews, we constructed four design resources for reflection: temporal perspective, conversation, comparison and discovery. We also identified design patterns in past digital artefacts that implement the resources. Our work constitutes intermediate-level knowledge that is intended to inspire future technologies that better support reflection.
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4

Edwards, John S. y Brian Shorrock. "Systems Design and HCI: A Practical Handbook". Journal of the Operational Research Society 41, n.º 3 (marzo de 1990): 270. http://dx.doi.org/10.2307/2583827.

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5

Edwards, John S. "Systems Design and HCI: A Practical Handbook". Journal of the Operational Research Society 41, n.º 3 (marzo de 1990): 270. http://dx.doi.org/10.1057/jors.1990.48.

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6

Tekade, Pooja, Himanshu Abhyankar y Prof Rupali Tornekar. "Review on Human-Computer Interaction: An Evolution of Usablility". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 2102–12. http://dx.doi.org/10.22214/ijraset.2022.41414.

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Abstract: This paper's goal is to give a broad overview of the field of Human-Computer Interaction. The basic definitions and terminology are covered, as well as a study of existing technologies and recent breakthroughs in the field, popular architectures used in the design of HCI systems, including unimodal and multimodal configurations, and HCI applications. A major goal of human-computer interaction research is to make systems more usable, valuable, and to give users with experiences tailored to their specific knowledge and goals. In an information-rich environment, the challenge is not just to make information available to individuals at any time, in any place, and in any form, but also to keep it up to date as per current trends and demands. Keywords: HCI - Human Computer Interaction, Multimodal HCI, Unimodal HCI, MMHCI - Multimodal HCI, UX - User Experience.
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7

Tekade, Pooja, Himanshu Abhyankar y Prof Rupali Tornekar. "Review on Human-Computer Interaction: An Evolution of Usablility". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 2102–12. http://dx.doi.org/10.22214/ijraset.2022.41414.

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Abstract: This paper's goal is to give a broad overview of the field of Human-Computer Interaction. The basic definitions and terminology are covered, as well as a study of existing technologies and recent breakthroughs in the field, popular architectures used in the design of HCI systems, including unimodal and multimodal configurations, and HCI applications. A major goal of human-computer interaction research is to make systems more usable, valuable, and to give users with experiences tailored to their specific knowledge and goals. In an information-rich environment, the challenge is not just to make information available to individuals at any time, in any place, and in any form, but also to keep it up to date as per current trends and demands. Keywords: HCI - Human Computer Interaction, Multimodal HCI, Unimodal HCI, MMHCI - Multimodal HCI, UX - User Experience.
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8

Kulshreshtha, Neelabh. "HCI: Use in Cyber Security". International Journal for Research in Applied Science and Engineering Technology 9, n.º VII (10 de julio de 2021): 109–13. http://dx.doi.org/10.22214/ijraset.2021.36246.

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This paper deals with the uses of HCI (Human-Computer Interaction) with Cyber Security and Information Security. Even though there have been efforts to strengthen the infrastructure of the security systems, there are many endemic problems which still exist and are a major source of vulnerabilities. The paper also aims to bridge the gap between the end-user and the technology of HCI. There have been many widespread security problems from the perspective of the security community, many of which arise due to the bad interaction between humans and systems. Developing on the Human-Computer Interaction is an important part of the security system architecture because even the most secure systems exist to serve human users and carry out human-oriented processes, and are designed and built by humans. HCI is concerned with the user interfaces and how they can be improved because most users' perceptions are based on their experience with these interfaces. There has been immense research on this field and many advances have been made in this arena of HCI. Speaking of Information Security on the other hand has been a major concern for the present world scenario where everything is done in the digital world.
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9

Mohammed, Yakubu Bala y Damla Karagozlu. "A Review of Human-Computer Interaction Design Approaches towards Information Systems Development". BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE 12, n.º 1 (29 de marzo de 2021): 229–50. http://dx.doi.org/10.18662/brain/12.1/180.

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Nowadays modern information systems (emerging technologies) are increasingly becoming an integral part of our daily lives and has begun to pose a serious challenge for human-computer interaction (HCI) professionals, as emerging technologies in the area of mobile and cloud computing, and internet of things (IoT), are calling for more devotion from HCI experts in terms of systems interface design. As the number of mobile platforms users, nowadays comprises of children’s, elderly people, and people with disabilities or disorders, all demanding for an effective user interface that can meet their diverse needs, even on the move, at anytime and anywhere. This paper, review current articles (43) related to HCI interface design approaches to modern information systems design with the aim of identifying and determining the effectiveness of these methods. The study found that the current HCI design approaches were based on desktop paradigm which falls short of providing location-based services to mobile platforms users. The study also discovered that almost all the current interface design standard used by HCI experts for the design of user’s interface were not effective & supportive of emerging technologies due to the flexibility nature of these technologies. Based on the review findings, the study suggested the combination of Human-centred design with agile methodologies for interface design, and call on future works to use qualitative or quantitative approach to further investigate HCI methods of interface design with much emphasis on cloud-based technologies and other organizational information systems.
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10

Buxton, Bill. "HCI and the inadequacies of direct manipulation systems". ACM SIGCHI Bulletin 25, n.º 1 (enero de 1993): 21–22. http://dx.doi.org/10.1145/157203.157206.

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11

Burns, A. "The HCI component of dependable real-time systems". Software Engineering Journal 6, n.º 4 (1991): 168. http://dx.doi.org/10.1049/sej.1991.0020.

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12

Zhang, Ping, Fiona Fui-Hoon Nah y Jenny Preece. "Guest Editorial: HCI studies in management information systems". Behaviour & Information Technology 23, n.º 3 (mayo de 2004): 147–51. http://dx.doi.org/10.1080/01449290410001669905.

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13

Sawyer, Peter y John A. Mariani. "Database systems: challenges and opportunities for graphical HCI". Interacting with Computers 7, n.º 3 (septiembre de 1995): 273–303. http://dx.doi.org/10.1016/0953-5438(95)93605-5.

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14

Marescotti, Diego, David Bovard, Moran Morelli, Antonin Sandoz, Karsta Luettich, Stefan Frentzel, Manuel Peitsch y Julia Hoeng. "In Vitro High-Content Imaging-Based Phenotypic Analysis of Bronchial 3D Organotypic Air–Liquid Interface Cultures". SLAS TECHNOLOGY: Translating Life Sciences Innovation 25, n.º 3 (23 de enero de 2020): 247–52. http://dx.doi.org/10.1177/2472630319895473.

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High-content imaging (HCI) is a powerful method for quantifying biological effects in vitro. Historically, HCI has been applied to adherent cells growing in monolayers. With the advent of confocal versions of HCI devices, researchers now have the option of performing analyses on 3D cell cultures. However, some obstacles remain in integrating the third dimension, such as limited light penetration and less sophisticated image analysis. Here, we report the development of an HCI technique for imaging human bronchial 3D organotypic air–liquid interface (ALI) cultures (hBR-ALI). In this method, we monitored differentiation status through HCI evaluation markers representative of ciliated epithelial cells and goblet cells (Muc5AC [mucin 5AC]). As a second use case for demonstrating the utility of this technique, we induced goblet cell hyperplasia in hBR-ALI by using interleukin (IL)-13. Our results demonstrate the utility of the HCI technique for imaging hBR-ALI grown on Transwell inserts. This technique may be expanded to other cell culture systems, such as skin epithelia and 3D intestinal systems.
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15

Dhakecha, Hiren. "A Methodological Study of Human-Computer Interaction: A Review". International Journal for Research in Applied Science and Engineering Technology 10, n.º 8 (31 de agosto de 2022): 195–200. http://dx.doi.org/10.22214/ijraset.2022.46127.

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Abstract: The concept of human-computer interaction has emerged as a result of advancements in computer technology. As emerging technologies in the fields of mobile and cloud computing, as well as the internet of things (IoT), become more and more ingrained in our daily lives, they have started to pose a serious challenge for professionals in human-computer interaction (HCI). These technologies call for greater dedication from HCI experts in terms of systems interface design. A comprehensive study of human-computer interaction (HCI) has been presented in the current study. The design process of human-computer interaction and the current state-of-art of the same is explained in brief along with the applications of HCI. Based on the results of the review, the study recommended combining human-centred design with agile interface design methodologies. It also encouraged future research using a qualitative or quantitative approach to further explore HCI interface design methodologies, with a focus on cloud-based, AR, VR technologies and other organizational information systems.
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16

Ramkumar, Anjana, Yu Song, Wiro J. Niessen y Pieter Jan Stappers. "Design Issues of the Existing Radiotherapy Segmentation Software". Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 5, n.º 1 (junio de 2016): 1–8. http://dx.doi.org/10.1177/2327857916051004.

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Findings from previous literatures, ethnography studies and interviews showed that radiotherapy contouring interfaces are very complex, requiring many human-computer interactions (HCI). In this paper we used observational, heuristic evaluation, think aloud and NASA-TLX methods to 1) analyse the workflow of radiotherapy segmentation systems; 2) discover possible usability and HCI design issues of current segmentation systems in order to identify the requirements for future interface design; and 3) explore the abilities and limitations of various evaluation methods. From the results it can be seen that observational and think aloud methods were very useful in identifying the workflow of different systems. The heuristic evaluation method uncovered more general usability issues with the interface design. The think aloud method identified more HCI issues compared to general usability issues. From the NASA-TLX, it can be seen that the workload level of system C is higher in almost all the categories. Using the four different methods this study identified several usability and HCI issues and have proposed seven main requirements which might be considered in our future studies.
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17

Sievert, Alexander, Alexander Witzki y Marco Michael Nitzschner. "Reliability and Validity of Low Temporal Resolution Eye Tracking Systems in Cognitive Performance Tasks". International Journal of Mobile Human Computer Interaction 10, n.º 1 (enero de 2018): 40–51. http://dx.doi.org/10.4018/ijmhci.2018010103.

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Eye tracking experiments are an important contribution to human computer interaction (HCI) research. Eye movements indicate attention, information processing, and cognitive state. Oculomotor activity is usually captured with high temporal resolution eye tracking systems, which are expensive and not affordable for everyone. Moreover, these systems require specific hard- and software. However, affordable and practical systems are needed especially for applied research concerning mobile HCI in everyday life. This study examined the reliability/validity of low temporal resolution devices by comparing data of a table-mounted system with an electrooculogram. Gaze patterns of twenty participants were recorded while performing a visual reaction and a surveillance task. Statistical analyses showed high consistency between both measurement systems for recorded gaze parameters. These results indicate that data from low temporal resolution eye trackers are sufficient to derive performance related oculomotor parameters and that such solutions present a viable alternative for applied HCI research.
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18

Beard-Gunter, Alison, David Geraint Ellis y Pauline Anne Found. "TQM, games design and the implications of integration in Industry 4.0 systems". International Journal of Quality and Service Sciences 11, n.º 2 (12 de junio de 2019): 235–47. http://dx.doi.org/10.1108/ijqss-09-2018-0084.

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Purpose Voluntary participation, feedback loops, rules and goals are key elements of total quality management (TQM). The purpose of this paper is to determine if these four elements which make TQM successful are the same elements that make computer games successful. If this is the case, what are the implications for developers of Human Computer Interfaces (HCI) in Industry 4.0. Design/methodology/approach This paper is a systematic literature review of recent literature on engagement in games and user experiences and HCI design for industry followed by interpretation of the literature. The findings from the literature review are analysed and compared to TQM. Findings Good game design and TQM share four key components: goals, rules, a feedback system (including rewards) and voluntary participation. There is an opportunity for HCI developers to use a user experience lens inherent in games evolution and to expand on the design and motivational elements that have made games and TQM successful at motivating and engaging. Kuutti’s (1995) proposal of activity theory puts forward a promising framework for making systems engaging. There are positive implications merging good games design and TQM in socio-technic systems which could improve engagement and quality in companies implementing in Industy 4.0. Research limitations/implications The implications of achieving increased engagement in HCI systems similar to those seen in companies that have successfully implemented TQM could lead to greater productivity in companies operating in the highly technical environments of Industry 4.0. Originality/value The originality of this paper is threefold: first, a description of the origins in industry of voluntary participation, feedback loops, rules and goals and their relationship to TQM; second, a systematic literature review of the same elements in computer games design; and third, the implications for developers of HCI systems in Industry 4.0.
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19

Paton, Chris, Andre W. Kushniruk, Elizabeth M. Borycki, Mike English y Jim Warren. "Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling". Journal of Medical Internet Research 23, n.º 5 (27 de mayo de 2021): e25281. http://dx.doi.org/10.2196/25281.

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In this paper, we describe techniques for predictive modeling of human-computer interaction (HCI) and discuss how they could be used in the development and evaluation of user interfaces for digital health systems such as electronic health record systems. Predictive HCI modeling has the potential to improve the generalizability of usability evaluations of digital health interventions beyond specific contexts, especially when integrated with models of distributed cognition and higher-level sociotechnical frameworks. Evidence generated from building and testing HCI models of the user interface (UI) components for different types of digital health interventions could be valuable for informing evidence-based UI design guidelines to support the development of safer and more effective UIs for digital health interventions.
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20

Jeena Jacob, I. "Review on Human Computer Interaction Intelligent Learning for Improved Identification Procedure". Journal of Trends in Computer Science and Smart Technology 4, n.º 2 (13 de julio de 2022): 62–71. http://dx.doi.org/10.36548/jtcsst.2022.2.002.

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Every day, new systems and devices are being developed, and research in this human and computer interaction field has increased dramatically over the previous several decades. Research into how computers impact people's lives, organizations, and society as a whole is done via the field of Human-Computer Interaction (HCI). This involves not just the simplicity of use but also innovative interaction approaches for supporting user activities, offering better access to information through new HCI principle, and establishing more powerful forms of communication for the user. After contemplating its potential, HCI is currently a popular new study topic among academics with feedback and recommendation by yes or no. To make HCI an effective tool, it must learn from the new principles of HCI that is planned here for future and reconsider some of its fundamental concepts.
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21

Pleva, Matúš, Yuan-Fu Liao y Patrick Bours. "Human–Computer Interaction for Intelligent Systems". Electronics 12, n.º 1 (29 de diciembre de 2022): 161. http://dx.doi.org/10.3390/electronics12010161.

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This collection of articles aims to cover recent advances in aspects of human–computer interaction for intelligent systems, including theory, tools, applications, testbeds, human factors studies, and field deployments. Reviews and surveys of the state-of-the-art in HCI for intelligent systems are also presented.
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22

Chen, Shaohan, Khairul Manami Kamarudin y Shihua Yan. "Analyzing the Synergy between HCI and TRIZ in Product Innovation through a Systematic Review of the Literature". Advances in Human-Computer Interaction 2021 (27 de mayo de 2021): 1–19. http://dx.doi.org/10.1155/2021/6616962.

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The boundary between tangible and digital products is getting more fused while rapidly evolving systems for interaction require novel processes that allow for rapidly developed designs, evaluations, and interaction strategies to facilitate efficient and unique user interactions with computer systems. Accordingly, the literature suggests combining creativity enhancement tools or methods with human-computer interaction (HCI) design. The TRIZ base of knowledge appears to be one of the viable options, as shown in the fragmental indications reported in well-acknowledged design textbooks. The goal of this paper is to present a systematic review of the literature to identify and analyze the published approaches and recommendations to support the synergy between HCI and TRIZ from the perspective of product innovation related to HCI, with the aim of providing a first comprehensive classification and discussing about observable differences and gaps. The method followed is the guidelines related to systematic literature review methods. As results, out of 444 initial results, only 17 studies reported the outcomes of the synergy between HCI and TRIZ. The 7 of these studies explored the feasibility of the combination of HCI and TRIZ. The 10 studies attempted to combine and derive approaches in these two fields, and the outcomes defined 3 different integration strategies between HCI and TRIZ. Some conclusions achieved are that the generic solutions to support the synergy between HCI and TRIZ are still rare in the literature. The extraction and combination of different tools caused the randomization of the evaluation criteria, and the performance of the proposals has not been comprehensively evaluated. However, the findings can help inform future developments and provide valuable information about the benefits and drawbacks of different approaches.
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23

Jain, Sapna y M. Alam. "Applications of Human-Computer Interaction in Health Psychology". Journal of Digital Art & Humanities 3, n.º 1 (29 de junio de 2022): 36–57. http://dx.doi.org/10.33847/2712-8148.3.1_5.

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The Human-Computer Interaction (HCI) manages the plan, assessment and utilization of data and correspondence advancements. From man-made consciousness to social robots and robots for sexual problems, HCI covers a wide scope of uses. Abilities an interdisciplinary methodology, in light of the joint effort between intellectual mechanical technology and kid brain research, for oneself supporting plan of intellectual and conduct abilities in engineered intellectual specialists, including robots, that is animated by thoughts and formative systems found in kids. Cyberpsychology examines every one of the ones mental peculiarities which are identified with age and pursuits to examinations the strategies of substitute welcomed on through the exchange among fellow and the fresh out of the box new media. This paper discusses how artificial intelligence and HCI applications are handling psychological issues that affect health in an efficient manner. The paper explains how AI and human consciousness are interlinked and different factors play a very important role to provide the support for behavioral issues and diseases. The contribution of Artificial Intelligence in transforming HCI is discussed through case studies, applications and systems in the paper.
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24

Okugawa, Kyohei, Masaki Nakanishi, Yasue Mitsukura y Masaki Takahashi. "Driving Control of a Powered Wheelchair by Voluntary Eye Blinking and with Environment Recognition". Applied Mechanics and Materials 490-491 (enero de 2014): 1764–68. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.1764.

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This paper describes the driving control system for a powered wheelchair using voluntary eye blinks. Recently, new human-computer interfaces (HCIs) that take the place of a joystick have been developed for people with disabilities of the upper body. In this paper, voluntary eye blinks are used as an HCI. However, the problem with this HCI is that the number of input directions and operations is smaller than that of a joystick, which causes inefficient movement. Therefore, assistive systems are needed for efficient and safe wheelchair movement. The proposed system is based on environment recognition and fuzzy logic. It can detect obstacles and passages, and speed and direction are calculated automatically for obstacle avoidance and right/left turns. The systems effectiveness is demonstrated through experiments with a real HCI in a real environment.
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25

Mattyasovszky-Philipp, Dóra, Attila Márton Putnoki y Bálint Molnár. "The Unrepeatable Human Mind—Challenges in the Development of Cognitive Information Systems—What Makes a Machine Human?" Electronics 11, n.º 3 (28 de enero de 2022): 394. http://dx.doi.org/10.3390/electronics11030394.

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The understanding of human cognition has not been fully achieved; therefore, Information Systems (IS) are not yet fully synchronized with humans. By understanding the cognition process, we will be able to create a human-tailored Cognitive Information Systems (CISs). The necessity for this research is supported by the fact that present business decision makers are faced with challenges that they cannot solve in the time available without CIS. Here, the aim of the authors is to underpin the adaptability of cognitive resonance and the role of the info-communication via Human–Computer Interaction (HCI)—including linkage, relation and impacts, showing the needed direction to increase the effectiveness of the Human–Computer Interaction (HCI), that leads to an improved CIS building with a higher cognitive level. The applied research methodology consists of research analyses and an assessment of the available publications to pursue a comparative study pattern; then, a model building paradigm has been used for observing and monitoring the work with a CIS during HCI. We found a huge gap regarding information processing in the recent literature, that has been caused by the wide range of interdisciplinarity. Our research approach provides an overview of how other disciplines influence HCI and how the human mental model is supported with value added.
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26

Niu, Hongwei, Cees Van Leeuwen, Jia Hao, Guoxin Wang y Thomas Lachmann. "Multimodal Natural Human–Computer Interfaces for Computer-Aided Design: A Review Paper". Applied Sciences 12, n.º 13 (27 de junio de 2022): 6510. http://dx.doi.org/10.3390/app12136510.

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Computer-aided design (CAD) systems have advanced to become a critical tool in product design. Nevertheless, they still primarily rely on the traditional mouse and keyboard interface. This limits the naturalness and intuitiveness of the 3D modeling process. Recently, a multimodal human–computer interface (HCI) has been proposed as the next-generation interaction paradigm. Widening the use of a multimodal HCI provides new opportunities for realizing natural interactions in 3D modeling. In this study, we conducted a literature review of a multimodal HCI for CAD to summarize the state-of-the-art research and establish a solid foundation for future research. We explore and categorize the requirements for natural HCIs and discuss paradigms for their implementation in CAD. Following this, factors to evaluate the system performance and user experience of a natural HCI are summarized and analyzed. We conclude by discussing challenges and key research directions for a natural HCI in product design to inspire future studies.
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27

Goodman-Deane, Joy, Suzette Keith y Gill Whitney. "HCI and the older population". Universal Access in the Information Society 8, n.º 1 (15 de abril de 2008): 1–3. http://dx.doi.org/10.1007/s10209-008-0125-0.

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28

Grudin, Jonathan. "AI and HCI: Two Fields Divided by a Common Focus". AI Magazine 30, n.º 4 (18 de septiembre de 2009): 48. http://dx.doi.org/10.1609/aimag.v30i4.2271.

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Although AI and HCI explore computing and intelligent behavior and the fields have seen some cross-over, until recently there was not very much. This article outlines a history of the fields that identifies some of the forces that kept the fields at arm’s length. AI was generally marked by a very ambitious, long-term vision requiring expensive systems, although the term was rarely envisioned as being as long as it proved to be, whereas HCI focused more on innovation and improvement of widely-used hardware within a short time-scale. These differences led to different priorities, methods, and assessment approaches. A consequence was competition for resources, with HCI flourishing in AI winters and moving more slowly when AI was in favor. The situation today is much more promising, in part because of platform convergence: AI can be exploited on widely-used systems.
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29

Ren, Fuji y Yanwei Bao. "A Review on Human-Computer Interaction and Intelligent Robots". International Journal of Information Technology & Decision Making 19, n.º 01 (enero de 2020): 5–47. http://dx.doi.org/10.1142/s0219622019300052.

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In the field of artificial intelligence, human–computer interaction (HCI) technology and its related intelligent robot technologies are essential and interesting contents of research. From the perspective of software algorithm and hardware system, these above-mentioned technologies study and try to build a natural HCI environment. The purpose of this research is to provide an overview of HCI and intelligent robots. This research highlights the existing technologies of listening, speaking, reading, writing, and other senses, which are widely used in human interaction. Based on these same technologies, this research introduces some intelligent robot systems and platforms. This paper also forecasts some vital challenges of researching HCI and intelligent robots. The authors hope that this work will help researchers in the field to acquire the necessary information and technologies to further conduct more advanced research.
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30

Vukelić, Mathias, Katharina Lingelbach, Kathrin Pollmann y Matthias Peissner. "Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems". Brain Sciences 11, n.º 1 (31 de diciembre de 2020): 35. http://dx.doi.org/10.3390/brainsci11010035.

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Affect monitoring is being discussed as a novel strategy to make adaptive systems more user-oriented. Basic knowledge about oscillatory processes and functional connectivity underlying affect during naturalistic human–computer interactions (HCI) is, however, scarce. This study assessed local oscillatory power entrainment and distributed functional connectivity in a close-to-naturalistic HCI-paradigm. Sixteen participants interacted with a simulated assistance system which deliberately evoked positive (supporting goal-achievement) and negative (impeding goal-achievement) affective reactions. Electroencephalography (EEG) was used to examine the reactivity of the cortical system during the interaction by studying both event-related (de-)synchronization (ERD/ERS) and event-related functional coupling of cortical networks towards system-initiated assistance. Significantly higher α-band and β-band ERD in centro-parietal and parieto-occipital regions and β-band ERD in bi-lateral fronto-central regions were observed during impeding system behavior. Supportive system behavior activated significantly higher γ-band ERS in bi-hemispheric parietal-occipital regions. This was accompanied by functional coupling of remote β-band and γ-band activity in the medial frontal, left fronto-central and parietal regions, respectively. Our findings identify oscillatory signatures of positive and negative affective processes as reactions to system-initiated assistance. The findings contribute to the development of EEG-based neuroadaptive assistance loops by suggesting a non-obtrusive method for monitoring affect in HCI.
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31

Andersen, Peter Bøgh. "What Semiotics can and cannot do for HCI". Knowledge-Based Systems 14, n.º 8 (diciembre de 2001): 419–24. http://dx.doi.org/10.1016/s0950-7051(01)00134-4.

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32

Marcos, Mari-Carmen. "HCI (human computer interaction): concepto y desarrollo". El Profesional de la Informacion 10, n.º 6 (1 de junio de 2001): 4–16. http://dx.doi.org/10.1076/epri.10.6.4.8200.

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33

Cockton, G. "Fine introduction to HCI for analytical readers". Information and Software Technology 31, n.º 6 (julio de 1989): 340. http://dx.doi.org/10.1016/0950-5849(89)90139-0.

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34

Løw Aboulafia, Annette. "COGNITIVE AND SOCIAL ASPECTS OF COMPUTER-MEDIATED WORK: Toward a framework for understanding working life". Psyke & Logos 22, n.º 2 (31 de diciembre de 2001): 16. http://dx.doi.org/10.7146/pl.v22i2.8547.

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Much IT research and practice attempts to understand and design for the interaction between human beings and computers. This paper focuses on the two most well-known approaches in this area, namely Human-Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW)2. I argue that HCI and CSCW reflect different aspects of human activity, which can be characterized as the cognitive and the social aspects of systems design. This paper examines these two approaches rom a (meta)theoretical point of view focusing on their ‘unit of analysis’, as well as their underlying philosophical assumptions. It is argued that the two approaches draw on distinct and somewhat contradictory philosophical ideas and theories, and consequently suggest different solutions to the design of computer systems. Much HCI work adapts a cognitive psychological perspective, focusing on the cognitive aspect of systems design, whereas CSCW work takes on a sociological perspective dealing with social and organisational aspects of systems design. In order to achieve a more ‘coherent’ understanding of systems design and computer-mediated work we need to ‘integrate’ the cognitive perspective (internal thought processes) and the social perspective (external social behaviour). Based on a dialectical-materialistic philosophy and the psychological approach developed from such principles, that of Activity Theory, I situate cognitive and the social activity within a broader framework for working life.
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35

Murad, Sharefa, Abdallah Qusef y Muhanna Muhanna. "CHR vs. Human-Computer Interaction Design for Emerging Technologies: Two Case Studies". Advances in Human-Computer Interaction 2023 (14 de febrero de 2023): 1–11. http://dx.doi.org/10.1155/2023/8710638.

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Recent years have seen a surge in interest in the multifaceted topic of human-computer interaction (HCI). Since the advent of the Fourth Industrial Revolution, the significance of human-computer interaction in the field of safety risk management has only grown. There has not been a lot of focus on developing human-computer interaction for identifying potential hazards in buildings. After conducting a comprehensive literature review, we developed a study framework for the use of human-computer interaction in the identification of construction-related hazards (CHR-HCI). Future studies will focus on the intersection of computer vision, VR, and ergonomics. In this research, we have built a theoretical foundation for past studies’ findings and connections and offered concrete recommendations for the improvement of HCI in danger identification in the future. Moreover, we analyzed two cases studies related to the domain of CHR-HCI in terms of wearable vibration-based systems and context aware navigation.
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36

Boehle, A., S. P. Quanz, C. Lovis, D. Ségransan, S. Udry y D. Apai. "Combining high-contrast imaging and radial velocities to constrain the planetary architectures of nearby stars". Astronomy & Astrophysics 630 (23 de septiembre de 2019): A50. http://dx.doi.org/10.1051/0004-6361/201935733.

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Context. Nearby stars are prime targets for exoplanet searches and characterization using a variety of detection techniques. Combining constraints from the complementary detection methods of high-contrast imaging (HCI) and radial velocity (RV) can further constrain the planetary architectures of these systems because these methods place limits at different regions of the companion mass and semi-major axis parameter space. Compiling a census of the planet population in the solar neighborhood is important to inform target lists for future space missions that will specifically target nearby stars to search for Earth analogs. Aims. We aim to constrain the planetary architectures from the combination of HCI and RV data for six nearby stars within 6 pc: τ Ceti, Kapteyn’s star, AX Mic, 40 Eri, HD 36395, and HD 42581. We explored where HCI adds information to constraints from the long-term RV monitoring data for these stars. Methods. We compiled the sample from stars with available archival VLT/NACO HCI data at L′ band (3.8 μm), where we expect substellar companions to be brighter for the typically older ages of nearby field stars (>1 Gyr). The NACO data were fully reanalyzed using the state-of-the-art direct imaging pipeline PynPoint and combined with RV data from HARPS, Keck/HIRES, and CORALIE. A Monte Carlo approach was used to assess the completeness in the companion mass and semi-major axis parameter space from the combination of the HCI and RV data sets. Results. We find that the HCI data add significant information to the RV constraints, increasing the completeness for certain companions masses and semi-major axes by up to 68–99% for four of the six stars in our sample, and by up to 1–13% for the remaining stars. The improvements are strongest for intermediate semi-major axes (15–40 AU), corresponding to the semi-major axes of the ice giants in our own solar system. The HCI mass limits reach 5–20 MJup in the background-limited regime, depending on the age of the star. Conclusions. Through the combination of HCI and RV data, we find that stringent constraints can be placed on the possible substellar companions in these systems. Applying these methods systematically to nearby stars will quantify our current knowledge of the planet population in the solar neighborhood and inform future observations.
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37

Schuß, Martina, Philipp Wintersberger y Andreas Riener. "Security Issues in Shared Automated Mobility Systems: A Feminist HCI Perspective". Multimodal Technologies and Interaction 5, n.º 8 (7 de agosto de 2021): 43. http://dx.doi.org/10.3390/mti5080043.

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The spread of automated vehicles (AVs) is expected to disrupt our mobility behavior. Currently, a male bias is prevalent in the technology industry in general, and in the automotive industry in particular, mainly focusing on white men. This leads to an under-representation of groups of people with other social, physiological, and psychological characteristics. The advent of automated driving (AD) should be taken as an opportunity to mitigate this bias and consider a diverse variety of people within the development process. We conducted a qualitative, exploratory study to investigate how shared automated vehicles (SAVs) should be designed from a pluralistic perspective considering a holistic viewpoint on the whole passenger journey by including booking, pick-up, and drop-off points. Both, men and women, emphasized the importance of SAVs being flexible and clean, whereas security issues were mentioned exclusively by our female participants. While proposing different potential solutions to mitigate security matters, we discuss them through the lens of the feminist HCI framework.
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38

Kumar, Shiu, Ronesh Sharma y Alok Sharma. "OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals". PeerJ Computer Science 7 (4 de febrero de 2021): e375. http://dx.doi.org/10.7717/peerj-cs.375.

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A human–computer interaction (HCI) system can be used to detect different categories of the brain wave signals that can be beneficial for neurorehabilitation, seizure detection and sleep stage classification. Research on developing HCI systems using brain wave signals has progressed a lot over the years. However, real-time implementation, computational complexity and accuracy are still a concern. In this work, we address the problem of selecting the appropriate filtering frequency band while also achieving a good system performance by proposing a frequency-based approach using long short-term memory network (LSTM) for recognizing different brain wave signals. Adaptive filtering using genetic algorithm is incorporated for a hybrid system utilizing common spatial pattern and LSTM network. The proposed method (OPTICAL+) achieved an overall average classification error rate of 30.41% and a kappa coefficient value of 0.398, outperforming the state-of-the-art methods. The proposed OPTICAL+ predictor can be used to develop improved HCI systems that will aid in neurorehabilitation and may also be beneficial for sleep stage classification and seizure detection.
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39

Luz María, Alonso-Valerdi y Mercado-García Víctor Rodrigo. "Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments". Computational Intelligence and Neuroscience 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/6076913.

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Tridimensional representations stimulate cognitive processes that are the core and foundation of human-computer interaction (HCI). Those cognitive processes take place while a user navigates and explores a virtual environment (VE) and are mainly related to spatial memory storage, attention, and perception. VEs have many distinctive features (e.g., involvement, immersion, and presence) that can significantly improve HCI in highly demanding and interactive systems such as brain-computer interfaces (BCI). BCI is as a nonmuscular communication channel that attempts to reestablish the interaction between an individual and his/her environment. Although BCI research started in the sixties, this technology is not efficient or reliable yet for everyone at any time. Over the past few years, researchers have argued that main BCI flaws could be associated with HCI issues. The evidence presented thus far shows that VEs can (1) set out working environmental conditions, (2) maximize the efficiency of BCI control panels, (3) implement navigation systems based not only on user intentions but also on user emotions, and (4) regulate user mental state to increase the differentiation between control and noncontrol modalities.
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40

Nukavarapu, Nivedita y Surya Durbha. "STOCHASTIC COLOURED PETRINET BASED HEALTHCARE INFRASTRUCTURE INTERDEPENDENCY MODEL". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (22 de junio de 2016): 223–29. http://dx.doi.org/10.5194/isprs-archives-xli-b8-223-2016.

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The Healthcare Critical Infrastructure (HCI) protects all sectors of the society from hazards such as terrorism, infectious disease outbreaks, and natural disasters. HCI plays a significant role in response and recovery across all other sectors in the event of a natural or manmade disaster. However, for its continuity of operations and service delivery HCI is dependent on other interdependent Critical Infrastructures (CI) such as Communications, Electric Supply, Emergency Services, Transportation Systems, and Water Supply System. During a mass casualty due to disasters such as floods, a major challenge that arises for the HCI is to respond to the crisis in a timely manner in an uncertain and variable environment. To address this issue the HCI should be disaster prepared, by fully understanding the complexities and interdependencies that exist in a hospital, emergency department or emergency response event. Modelling and simulation of a disaster scenario with these complexities would help in training and providing an opportunity for all the stakeholders to work together in a coordinated response to a disaster. The paper would present interdependencies related to HCI based on Stochastic Coloured Petri Nets (SCPN) modelling and simulation approach, given a flood scenario as the disaster which would disrupt the infrastructure nodes. The entire model would be integrated with Geographic information based decision support system to visualize the dynamic behaviour of the interdependency of the Healthcare and related CI network in a geographically based environment.
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41

Nukavarapu, Nivedita y Surya Durbha. "STOCHASTIC COLOURED PETRINET BASED HEALTHCARE INFRASTRUCTURE INTERDEPENDENCY MODEL". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (22 de junio de 2016): 223–29. http://dx.doi.org/10.5194/isprsarchives-xli-b8-223-2016.

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The Healthcare Critical Infrastructure (HCI) protects all sectors of the society from hazards such as terrorism, infectious disease outbreaks, and natural disasters. HCI plays a significant role in response and recovery across all other sectors in the event of a natural or manmade disaster. However, for its continuity of operations and service delivery HCI is dependent on other interdependent Critical Infrastructures (CI) such as Communications, Electric Supply, Emergency Services, Transportation Systems, and Water Supply System. During a mass casualty due to disasters such as floods, a major challenge that arises for the HCI is to respond to the crisis in a timely manner in an uncertain and variable environment. To address this issue the HCI should be disaster prepared, by fully understanding the complexities and interdependencies that exist in a hospital, emergency department or emergency response event. Modelling and simulation of a disaster scenario with these complexities would help in training and providing an opportunity for all the stakeholders to work together in a coordinated response to a disaster. The paper would present interdependencies related to HCI based on Stochastic Coloured Petri Nets (SCPN) modelling and simulation approach, given a flood scenario as the disaster which would disrupt the infrastructure nodes. The entire model would be integrated with Geographic information based decision support system to visualize the dynamic behaviour of the interdependency of the Healthcare and related CI network in a geographically based environment.
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42

Ferreira, Alessandro Luiz Stamatto, Leonardo Cunha de Miranda, Erica Esteves Cunha de Miranda y Sarah Gomes Sakamoto. "A Survey of Interactive Systems based on Brain-Computer Interfaces". Journal on Interactive Systems 4, n.º 1 (28 de agosto de 2013): 1. http://dx.doi.org/10.5753/jis.2013.623.

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Brain-Computer Interface (BCI) enables users to interact with a computer only through their brain biological signals, without the need to use muscles. BCI is an emerging research area but it is still relatively immature. However, it is important to reflect on the different aspects of the Human-Computer Interaction (HCI) area related to BCIs, considering that BCIs will be part of interactive systems in the near future. BCIs most attend not only to handicapped users, but also healthy ones, improving interaction for end-users. Virtual Reality (VR) is also an important part of interactive systems, and combined with BCI could greatly enhance user interactions, improving the user experience by using brain signals as input with immersive environments as output. This paper addresses only noninvasive BCIs, since this kind of capture is the only one to not present risk to human health. As contributions of this work we highlight the survey of interactive systems based on BCIs focusing on HCI and VR applications, and a discussion on challenges and future of this subject matter.
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43

Rajanen, Mikko. "One Design Rule to Rule Them All: Towards a Universal Golden Rule for Designers of Human-Technology Interaction". Complex Systems Informatics and Modeling Quarterly, n.º 33 (30 de diciembre de 2022): 1–13. http://dx.doi.org/10.7250/csimq.2022-33.01.

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The aim of this article is to raise awareness and discussion of the ethical aspects of the human-technology design of socio-technical systems in general, as well as the Human-Computer Interaction (HCI) designer responsibility towards users, stakeholders, and society. The dark side of HCI design is rising and the HCI community must respond to it in order to maintain its credibility and legitimacy. This article identifies and discusses four dimensions in human-technology interaction design ethics. To sum up these ethical dimensions of design and the responsibilities of a designer, this position article concludes with a proposed universal golden rule for designing human-technology interactions: Design as easy to use, honest, sustainable, and safe human-technology interactions as you would want others to design for you.
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44

Kang, Dong-Hyun y Won-Du Chang. "Recognition of Eye-Written Characters with Limited Number of Training Data Based on a Siamese Network". Electronics 10, n.º 23 (2 de diciembre de 2021): 3009. http://dx.doi.org/10.3390/electronics10233009.

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Developing a hum–computer interface (HCI) is essential, especially for those that have spinal cord injuries or paralysis, because of the difficulties associated with the application of conventional devices and systems. Eye-writing is an HCI that uses eye movements for writing characters such that the gaze movements form letters. In addition, it is a promising HCI because it can be utilized even when voices and hands are inaccessible. However, eye-writing HCI has low accuracy and encounters difficulties in obtaining data. This study proposes a method for recognizing eye-written characters accurately and with limited data. The proposed method is constructed using a Siamese network, an attention mechanism, and an ensemble algorithm. In the experiment, the proposed method successfully classified the eye-written characters (Arabic numbers) with high accuracy (92.78%) when the ratio of training to test data was 2:1. In addition, the method was tested as the ratio changed, and 80.80% accuracy was achieved when the number of training data was solely one-tenth of the test data.
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45

Burnett, Margaret. "HCI research regarding end-user requirement specification: a tutorial". Knowledge-Based Systems 16, n.º 7-8 (noviembre de 2003): 341–49. http://dx.doi.org/10.1016/j.knosys.2003.08.007.

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46

Stowers, Kimberly y Mustapha Mouloua. "Human Computer Interaction Trends in Healthcare: An Update". Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 7, n.º 1 (junio de 2018): 88–91. http://dx.doi.org/10.1177/2327857918071019.

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As the medical community evolves, so does its reliance on technology. With the rise of robotic surgery systems, the use of computers in tracking patient in-processing, and now mandates surrounding Electronic Health Records (EHR), it has become prudent to examine these systems as part of their larger sociotechnical systems. As such, an increase in Human Computer Interaction (HCI) research in healthcare setting has been seen. A prior trend analysis examined this phenomenon by analyzing specific areas of HCI-healthcare published as HFES proceedings from 1999 until 2009. This paper updates that analysis to explore trends in healthcare proceedings published by HFES from 2009 until 2017, during which time the Affordable Healthcare Act was passed and the HFES healthcare symposia were introduced and hosted separately from the primary annual HFES meetings. Changes in trends and their impact are discussed.
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47

Wania, Christine E., Michael E. Atwood y Katherine W. McCain. "Mapping the field of human-computer interaction (HCI)". Proceedings of the American Society for Information Science and Technology 43, n.º 1 (10 de octubre de 2007): 1–7. http://dx.doi.org/10.1002/meet.14504301233.

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48

Hartman, Björn y Eric Horvitz. "Preface". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (3 de noviembre de 2013): xi—x. http://dx.doi.org/10.1609/hcomp.v1i1.13066.

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The HCOMP conference was created as a venue for exchanging ideas and developments on principles, experiments, and implementations of systems that rely on programmatic access to human intellect to perform some aspect of computation, or where human perception, knowledge, reasoning, or coordinated physical activities contributes to the operation of larger systems and applications. Topics covered in the evolving discipline of human computation and crowdsourcing include efforts in human-computer interaction (HCI), computer-supported collaborative work (CSCW), cognitive psychology, organizational behavior, economics, information retrieval, databases, computer systems, optimization, and multiple areas of artificial intelligence (AI), such as vision, speech, robotics, machine learning, mechanism and market design, and planning. The links to AI are as strong as those to HCI, CSCW, and economics; human computation promises to play an important role in research on principles of artificial intelligence as well as in the engineering of systems that can take advantage of the (changing) complementarities of human and machine intellect.
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49

Wang, Yimin, Yun Li, Yanbin Yang y Wenchao Chen. "Hot Carrier Injection Reliability in Nanoscale Field Effect Transistors: Modeling and Simulation Methods". Electronics 11, n.º 21 (4 de noviembre de 2022): 3601. http://dx.doi.org/10.3390/electronics11213601.

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Hot carrier injection (HCI) can generate interface traps or oxide traps mainly by dissociating the Si-H or Si-O bond, thus affecting device performances such as threshold voltage and saturation current. It is one of the most significant reliability issues for devices and circuits. Particularly, the increase in heat generation per unit volume due to high integration density of advanced integrated circuits leads to a severe self-heating effect (SHE) of nanoscale field effect transistors (FETs), and low thermal conductivity of materials in nanoscale FETs further aggravates the SHE. High temperature improves the HCI reliability in the conventional MOSFET with long channels in which the energy of carriers can be relaxed. However, high temperature due to severe SHE deteriorates HCI reliability in nanoscale FETs, which is a big concern in device and circuit design. In this paper, the modeling and simulation methods of HCI in FETs are reviewed. Particularly, some recently proposed HCI models with consideration of the SHE are reviewed and discussed in detail.
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50

Linkens, D. A. "AI in control Systems engineering". Knowledge Engineering Review 5, n.º 3 (septiembre de 1990): 181–214. http://dx.doi.org/10.1017/s0269888900005403.

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AbstractDecision-making is an integral part of any consideration of the discipline of control Systems. This implies feedback of knowledge in some format, whether it is mediated via human or machineoriented methods. The application of AI methodologies to control Systems engineering is described in this review under two broad categories of design and implementation. The design of control strategies is itself divided into phases of modelling and simulation, identification, and algorithm selection and tuning. The aspects of implementation which are covered include real-time considerations such as knowledge-based control and fuzzy logic, multi-sensor data fusion, fault detection and Human–Computer Interaction (HCI).
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