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Relevant bibliographies by topics / Human Artificial interface

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Academic literature on the topic 'Human Artificial interface'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Human Artificial interface"

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Takemura, Haruo, and Fumio Kishino. ""Human interface using artificial reality"." Journal of the Institute of Television Engineers of Japan 44, no. 8 (1990): 981–85. http://dx.doi.org/10.3169/itej1978.44.981.

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Stein, Sebastian, Enrico H. Gerding, Adrian Nedea, Avi Rosenfeld, and Nicholas R. Jennings. "Market Interfaces for Electric Vehicle Charging." Journal of Artificial Intelligence Research 59 (June 22, 2017): 175–227. http://dx.doi.org/10.1613/jair.5387.

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We consider settings where owners of electric vehicles (EVs) participate in a market mechanism to charge their vehicles. Existing work on such mechanisms has typically assumed that participants are fully rational and can report their preferences accurately via some interface to the mechanism or to a software agent participating on their behalf. However, this may not be reasonable in settings with non-expert human end-users.Thus, our overarching aim in this paper is to determine experimentally if a fully expressive market interface that enables accurate preference reports is suitable for the EV

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Sato, Makoto, Yukihiro Hirata, and Hiroshi Kawarada. "Space Interface Device for Artificial Reality – SPIDAR –." Journal of Robotics and Mechatronics 9, no. 3 (1997): 177–84. http://dx.doi.org/10.20965/jrm.1997.p0177.

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In order to realize a human interface for the efficient modeling of three-dimensional shapes over the computer, it is necessary to create an environment in which shape models can be manipulated in the same way as their actual three-dimensional objects. Such an environment is called a virtual work space. In case that a human manipulates an object with his or her own hands, that person unconsciously uses the sensations, such as those of sight, touch, and force. In order to compose a virtual work space, it is important that information on such sensations be given comprehensively to a human. Moreo

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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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HINDE, C. J. "The human-robot interface: the role of artificial intelligence." International Journal of Production Research 27, no. 3 (1989): 463–76. http://dx.doi.org/10.1080/00207548908942560.

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DI MASCIO, TANIA, and LAURA TARANTINO. "Advanced visual interfaces: the focus is on the user." Knowledge Engineering Review 18, no. 2 (2003): 175–81. http://dx.doi.org/10.1017/s0269888903000584.

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The current trend in the production of information appliances is the human-centred, customer-centred approach, where technology serves human needs invisibly, unobtrusively. The emphasis shifts from the application programs to the users, their tasks and their workplaces, making computation often move off the desktop to become embedded in the world around us. In this scenario the role of the visual interface becomes crucial since, as far as the customer is concerned, the interface is the product. In this paper we briefly survey the most recent results in the field of advanced visual interfaces,

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Kundu, Subhasis. "Deep Neural Networks for Human-AI Telepathy: Enabling Thought-Driven Command Execution Without External Hardware." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 06, no. 12 (2022): 1–7. https://doi.org/10.55041/ijsrem17141.

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This groundbreaking research explores the creation of deep neural networks for human-AI telepathy, enabling command execution through thought alone, without relying on external devices. This study presents a novel brain-to-AI interface system that allows for the direct and effortless control of artificial systems via thought. Utilizing sophisticated machine-learning methods, this approach deciphers neural signals and converts them into executable commands. Through comprehensive experiments and detailed analysis, this research showcases the system's ability to accurately interpret intricate tho

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Wu, Xiaoli, and Yajun Li. "An Experimental Analysis Method of Visual Performance on the Error Factors of Digital Information Interface." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 09 (2019): 2055019. http://dx.doi.org/10.1142/s0218001420550198.

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As per global accident statistics, human error accounts for over 85% of accidents. Therefore, human error analysis of cognitive behavior of operators can be the key to solving information interface design problems of digital smart task monitoring interfaces. This paper proposes an analytical method based on psychological experiments introduced into task monitoring interfaces to study reactions to error factors. It uses psychological techniques to conduct experiments which evoke physiological reactions to various error factors under different sub-interfaces of the monitoring system and sub-task

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Ruijten, Peter, Jacques Terken, and Sanjeev Chandramouli. "Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human Behavior." Multimodal Technologies and Interaction 2, no. 4 (2018): 62. http://dx.doi.org/10.3390/mti2040062.

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Autonomous vehicles use sensors and artificial intelligence to drive themselves. Surveys indicate that people are fascinated by the idea of autonomous driving, but are hesitant to relinquish control of the vehicle. Lack of trust seems to be the core reason for these concerns. In order to address this, an intelligent agent approach was implemented, as it has been argued that human traits increase trust in interfaces. Where other approaches mainly use anthropomorphism to shape appearances, the current approach uses anthropomorphism to shape the interaction, applying Gricean maxims (i.e., guideli

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Gu, Jie. "AI-empowered neural processing for intelligent human-machine interface and biomedical devices." Open Access Government 43, no. 1 (2024): 268–69. http://dx.doi.org/10.56367/oag-043-11463.

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AI-empowered neural processing for intelligent human-machine interface and biomedical devices Jie Gu, Associate Professor from Northwestern University, examines AI-empowered neural processing for intelligent human-machine interface and biomedical devices. Most conventional wearable devices rely on motion detection or image classifications to capture users’ activities. However, they lack the ability to decode neural signals generated by the human body. Neural signals, such as EEG, ECG, and EMG, offer a rich amount of information on a person’s physiological and psychological activities. Recognit

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Dissertations / Theses on the topic "Human Artificial interface"

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Chen, Liming. "An architecture for animated human-like interface agents." Thesis, De Montfort University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271922.

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Dowling, Jason Anthony. "Mobility enhancement using simulated artificial human vision." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16380/1/Jason_Dowling_Thesis.pdf.

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The electrical stimulation of appropriate components of the human visual system can result in the perception of blobs of light (or phosphenes) in totally blind patients. By stimulating an array of closely aligned electrodes it is possible for a patient to perceive very low-resolution images from spatially aligned phosphenes. Using this approach, a number of international research groups are working toward developing multiple electrode systems (called Artificial Human Vision (AHV) systems or visual prostheses) to provide a phosphene-based substitute for normal human vision. Despite the great pr

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Dowling, Jason Anthony. "Mobility enhancement using simulated artificial human vision." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16380/.

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The electrical stimulation of appropriate components of the human visual system can result in the perception of blobs of light (or phosphenes) in totally blind patients. By stimulating an array of closely aligned electrodes it is possible for a patient to perceive very low-resolution images from spatially aligned phosphenes. Using this approach, a number of international research groups are working toward developing multiple electrode systems (called Artificial Human Vision (AHV) systems or visual prostheses) to provide a phosphene-based substitute for normal human vision. Despite the great pr

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Mourad, Atallah. "Human interface and interaction in the WITS training system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0027/MQ50643.pdf.

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ROUSE, ADAM A. "CONCEPTUALIZING CONTEXT: DYNAMIC DESIGN THROUGH TIDAL INTERFACE." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1082946784.

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Wu, Jaichun. "The development and implementation of an intelligent, semantic machine control system with specific reference to human-machine interface design." Thesis, Cape Peninsula University of Technology, 2005. http://hdl.handle.net/20.500.11838/2292.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2005.<br>This thesis explores the design and implementation of an intelligent semantic machine control system with specific reference to human-machine interface design. The term "intelligent" refers to machines that can execute some level of decision taking in context. The term "semantic" refers to a structured language that allows user and machine to communicate. This study will explore all the key concepts about an intelligent semantic machine control system with human-machine interface. The key concepts

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Mileros, Martin D. "A Real-Time Classification approach of a Human Brain-Computer Interface based on Movement Related Electroencephalogram." Thesis, Linköping University, Department of Mechanical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2824.

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<p>A Real-Time Brain-Computer Interface is a technical system classifying increased or decreased brain activity in Real-Time between different body movements, actions performed by a person. Focus in this thesis will be on testing algorithms and settings, finding the initial time interval and how increased activity in the brain can be distinguished and satisfyingly classified. The objective is letting the system give an output somewhere within 250ms of a thought of an action, which will be faster than a persons reaction time. </p><p>Algorithms in the preprocessing were Blind Signal Separation a

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Olivieri, Emily, and Loredana Isacsson. "Exploring guidelines for human-centred design in the wake of AI capabilities : A qualitative study." Thesis, Tekniska Högskolan, Jönköping University, JTH, Datateknik och informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48072.

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Purpose – Artificial Intelligence has seen important growth in the digital area in recent years. Our aim is to explore possible guidelines that make use of AI advances to design good user experiences for digital products. Method – The proposed methods to gather the necessary qualitative data to support our claim involve open-ended interviews with UX/UI Designers working in the industry, in order to gain a deeper understanding of their thoughts and experiences. In addition, a literature review is conducted to identify the knowledge gap and build the base of our new theory. Findings – Our findin

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Cederborg, Thomas. "A Formal Approach to Social Learning: Exploring Language Acquisition Through Imitation." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00937615.

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The topic of this thesis is learning through social interaction, consisting of experiments that focus on word acquisition through imitation, and a formalism aiming to provide stronger theoretical foundations. The formalism is designed to encompass essentially any situation where a learner tries to figure out what a teacher wants it to do by interaction or observation. It groups learners that are interpreting a broad range of information sources under the same theoretical framework. A teachers demonstration, it's eye gaze during a reproduction attempt and a teacher speech comment are all treate

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Gabillon, Yoann. "Composition d'interfaces homme-machine par planification automatique." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00670347.

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En informatique ambiante, les objectifs de l'utilisateur peuvent émerger opportunément. Il devient, dès lors, nécessaire de générer à la volée des systèmes interactifs. Un système interactif est composé d'un noyau fonctionnel et d'une Interface Homme-Machine (IHM). Cette thèse traite de la composition d'IHM pour un objectif utilisateur et un contexte d'usage (utilisateur, plate-forme, environnement) donnés. Elle en propose un espace problème fondé sur les exigences utilisateur recueillies par une étude qualitative. Un état de l'art positionne notre travail et en montre la complémentarité par r

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Books on the topic "Human Artificial interface"

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C, Yuen P., Tang Yuan Yan 1943-, and Wang Patrick S-P, eds. Multimodal interface for human-machine communication. World Scientific, 2002.

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Finnegan, Claire. The ABACUS interface: An agent-based approach to interface development. University College Dublin, 1998.

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Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, ред. Chʻokkangyong sŭmatʻŭ haeptʻik intʻŏpʻeisŭ changchʻi =: Development of smart haptic interface device. Chŏngbo Tʻongsinbu, 2007.

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1954-, Ellis Charlie, ed. Expert knowledge and explanation: The knowledge-language interface. E. Horwood, 1989.

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R, Sarewitz Daniel, ed. The techno-human condition. MIT Press, 2011.

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International Conference on Man-Machine Interface in the Nuclear Industry (Control and Instrumentation, Robotics, and Artificial Intelligence) (1988 Tokyo, Japan). Man-machine interface in the nuclear industry: Proceedings of an International Conference on Man-Machine Interface in the Nuclear Industry (Control and Instrumentation, Robotics, and Artificial Intelligence). International Atomic Energy Agency, 1988.

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7

Rouse, William B. Assessing the impact of modeling limits on intelligent systems. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1990.

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Kappers, Astrid M. L. Haptics: Generating and Perceiving Tangible Sensations: International Conference, EuroHaptics 2010, Amsterdam, July 8-10, 2010. Proceedings. Springer-Verlag Bberlin Heidelberg, 2010.

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1969-, Grieser Gunter, and Tanaka Y, eds. Intuitive human interfaces for organizing and accessing intellectual assets: International workshop, Dagstuhl Castle, Germany, March 1-5, 2004 : revised selected papers. Springer, 2004.

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International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces. Association for Computing Machinery, 1997.

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Book chapters on the topic "Human Artificial interface"

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Ban, Nianming, Chao Qu, Daqin Feng, and Jiahui Pan. "A Hybrid Brain-Computer Interface for Smart Car Control." In Human Brain and Artificial Intelligence. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8222-4_12.

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Hegde, Nayana, Savitha Krishna, and Sunilkumar S. Manvi. "Diabetic Retinopathy Diagnosis System Based on Artificial Intelligence." In Human-Machine Interface Technology Advancements and Applications. CRC Press, 2023. http://dx.doi.org/10.1201/9781003326830-10.

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Li, Yulin, Hui Shen, and Dewen Hu. "A Spiking Neural Network for Brain-Computer Interface of Four Classes Motor Imagery." In Human Brain and Artificial Intelligence. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8222-4_13.

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Wang, Zhiliang. "Artificial Psychology." In Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73345-4_25.

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Lesnes-Cuisiniez, Elann, Jesus Zegarra Flores, and Jean-Pierre Radoux. "Gesture ToolBox: Touchless Human-Machine Interface Using Deep Learning." In KI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67190-1_27.

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Roy, Asitava Deb. "Impact of Digitalization and Artificial Intelligence (AI) on Diagnostic Pathology." In Human-Machine Interface Technology Advancements and Applications. CRC Press, 2023. http://dx.doi.org/10.1201/9781003326830-14.

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Tan, Gaobo, Jinming Gai, Ruihan Guo, Guiying Zhang, Qiang Lin, and Zhenghui Hu. "Virtual Drone Control Using Brain-Computer Interface Based on Motor Imagery Brain Magnetic Fields." In Human Brain and Artificial Intelligence. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8222-4_14.

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Majewski, Maciej, and Wojciech Kacalak. "Natural Language Human-Machine Interface Using Artificial Neural Networks." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760191_169.

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Cruz Ulloa, Christyan, Anne Krus, Guido Torres Llerena, Antonio Barrientos, Jaime Del Cerro, and Constantino Valero. "ROBOFERT: Human - Robot Advanced Interface for Robotic Fertilization Process." In Trends in Artificial Intelligence and Computer Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96147-3_5.

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Goswami, Laxmi. "Human Computer Interface Using Electrooculogram as a Substitute." In International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92905-3_21.

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Conference papers on the topic "Human Artificial interface"

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Öztürk, Yunus Furkan, Kerim Uslu, Kadir Acar, and Dilek Bilgin Tükel. "Human-Machine Interface Design for Industrial Robots." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10710897.

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Yang, Xuefei, Weihao Zeng, Yi Zhang, Ruyun Zhu, Zihao Ren, and Zhitao Yu. "Research on Human-Computer Interaction Interface Design Based on User Experience." In 2024 International Conference on Artificial Intelligence and Power Systems (AIPS). IEEE, 2024. http://dx.doi.org/10.1109/aips64124.2024.00023.

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Naveed, Khuram, Jamshed Iqbal, and Habib ur Rehman. "Brain controlled human robot interface." In 2012 International Conference on Robotics and Artificial Intelligence (ICRAI). IEEE, 2012. http://dx.doi.org/10.1109/icrai.2012.6413410.

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Subasi, Abdulhamit. "Artificial Intelligence in Brain Computer Interface." In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2022. http://dx.doi.org/10.1109/hora55278.2022.9800002.

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Pooripanyakun, Munyaporn, Andrew Wodehouse, and Jorn Mehnen. "The Design and Evaluation of an Eyes-free Touch screen Interface." In Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100914.

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The eyes-free touchscreen interface is a category of interfaces for controlling devices with minimal visual attention. We apply a design framework for the generation of imaginary interface layouts and propose a series of eyes-free input interfaces for menu selection, arrow control, and data entry. These are oriented around U-shaped and diagonal layouts for optimized one-handed thumb interaction. The experiment tests the participants’ cognitive performance toward the specified layouts. In addition to examining the input accuracy of eyes-free interfaces for discrete and serial tasks, interviews

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Gong, Xinbei, and Hualan Gou. "Human Machine Interface Design for Intelligent Vehicle Systems." In 2025 Intelligent Human Systems Integration. AHFE International, 2025. https://doi.org/10.54941/ahfe1005866.

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With the advancement of technology, advanced technologies such as big data, internet and artificial intelligence have been applied to the automotive industry, and the importance of human-computer interaction interface in automotive design has become more and more prominent. In retrospect, traditional automobiles were mainly regarded as tools for traveling, and the interaction between drivers and automobiles was mostly limited to basic vehicle control. However, the needs of modern drivers have become more diversified, and human-computer interface design nowadays has a direct impact on driving s

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Oliveira, António L. C., Manuel F. Silva, and Ramiro S. Barbosa. "Human-Machine Interface for the Control of a Climbing Robot." In Artificial Intelligence and Applications / Modelling, Identification, and Control. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.718-070.

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Hebart, Martin. "Revealing interpretable object representations from human visual cortex and artificial neural networks." In 2023 11th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2023. http://dx.doi.org/10.1109/bci57258.2023.10078606.

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Yoo, Min Woo, Chae Hyun Lee, and Dong Seog Han. "Deep Learning-based Human Vehicle Interface for Smart Golf Cart." In 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2023. http://dx.doi.org/10.1109/icaiic57133.2023.10067123.

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Yu, Mengyao, Changhua He, and Lijun Shi. "Interactive Genetic Algorithm for Human-Computer Interface Layout Design System." In AISNS 2023: 2023 International Conference on Artificial Intelligence, Systems and Network Security. ACM, 2023. http://dx.doi.org/10.1145/3661638.3661647.

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Reports on the topic "Human Artificial interface"

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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, 2021. http://dx.doi.org/10.4271/epr2021010.

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Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each

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Pasupuleti, Murali Krishna. Next-Generation Extended Reality (XR): A Unified Framework for Integrating AR, VR, and AI-driven Immersive Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv325.

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Abstract: Extended Reality (XR), encompassing Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), is evolving into a transformative technology with applications in healthcare, education, industrial training, smart cities, and entertainment. This research presents a unified framework integrating AI-driven XR technologies with computer vision, deep learning, cloud computing, and 5G connectivity to enhance immersion, interactivity, and scalability. AI-powered neural rendering, real-time physics simulation, spatial computing, and gesture recognition enable more realistic and adap

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Muelaner, Jody Emlyn. Generative Design in Aerospace and Automotive Structures. SAE International, 2024. http://dx.doi.org/10.4271/epr2024016.

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<div class="section abstract"><div class="htmlview paragraph">Semi-automated computational design methods involving physics-based simulation, optimization, machine learning, and generative artificial intelligence (AI) already allow greatly enhanced performance alongside reduced cost in both design and manufacturing. As we progress, developments in user interfaces, AI integration, and automation of workflows will increasingly reduce the human inputs required to achieve this. With this, engineering teams must change their mindset from designing products to specifying requirements, fo

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Hart, Kate, Jodi Lejeune, Rebecca Beavers, et al. National Park Service beach nourishment guidance (second edition). National Park Service, 2023. http://dx.doi.org/10.36967/2299256.

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Sandy coastal areas (including coastal dunes, beaches, and submerged intertidal and nearshore areas) are naturally dynamic ecosystems. These areas experience accretion, erosion, dune and island migration, overwash, and other processes as sediments are transported by the wind, waves, tides, and currents. If these natural physical processes are disrupted, the beach ecosystem may transform, become unstable, or disappear completely over time. Human development of coastal areas, sea level rise, and increasing frequency and intensity of coastal storms are examples of coastal change that interfere wi

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