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Relevant bibliographies by topics / Computer interfaces

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Academic literature on the topic 'Computer interfaces'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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Journal articles on the topic "Computer interfaces"

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Pepperberg, Irene M. "Animal-computer interfaces." Interaction Studies 24, no. 2 (November 3, 2023): 193–200. http://dx.doi.org/10.1075/is.23018.pep.

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Abstract The field of animal-computer interfaces has a longer history than one might at first suppose. In this Introduction, I first discuss some of the early attempts to integrate computers into the study of animal cognition, communication, and behavior and how they provided the groundwork for subsequent research in nonhuman-computer interfaces. I then summarize the various contributions to this special issue, emphasizing how they provide a snapshot into the current state of the field. I close by emphasizing the value of this work but also by suggesting some potential pitfalls of which we mus

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Allan, K. "Inspiring interfaces [computer game interfaces]." Engineering & Technology 2, no. 5 (May 1, 2007): 34–36. http://dx.doi.org/10.1049/et:20070503.

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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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Bogdanova, Nellija. "PRINCIPLES OF USER-CENTERED DESIGN." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 20, 2001): 245. http://dx.doi.org/10.17770/etr2001vol1.1921.

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Good user interfaces are essential for any successful product. A process of the user interface creation is not available include in the algorithmic scheme. In this articles will formulate principles principles o f user-centered design, criteria o f ergonomics interfaces and efficient interface’s rules of project. These principles are based usability computer training courses.

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Li, Jiayi. "Brain-computer interface for the treatment of mental illness." Theoretical and Natural Science 16, no. 1 (December 4, 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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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 (January 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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Williams, Evelyn, and Evelyn Hewlett-Packard. "Panel on Visual Interface Design." Proceedings of the Human Factors Society Annual Meeting 33, no. 5 (October 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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Young, Michael J., David J. Lin, and Leigh R. Hochberg. "Brain–Computer Interfaces in Neurorecovery and Neurorehabilitation." Seminars in Neurology 41, no. 02 (March 19, 2021): 206–16. http://dx.doi.org/10.1055/s-0041-1725137.

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AbstractRecent advances in brain–computer interface technology to restore and rehabilitate neurologic function aim to enable persons with disabling neurologic conditions to communicate, interact with the environment, and achieve other key activities of daily living and personal goals. Here we evaluate the principles, benefits, challenges, and future directions of brain–computer interfaces in the context of neurorehabilitation. We then explore the clinical translation of these technologies and propose an approach to facilitate implementation of brain–computer interfaces for persons with neurolo

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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 (August 2021): 671–84. http://dx.doi.org/10.1016/j.tics.2021.04.003.

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Chao, Dennis L. "Computer games as interfaces." Interactions 11, no. 5 (September 2004): 71–72. http://dx.doi.org/10.1145/1015530.1015567.

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Dissertations / Theses on the topic "Computer interfaces"

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Ward, David James. "Adaptive computer interfaces." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620273.

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Rihan, Jonathan. "Computer vision based interfaces for computer games." Thesis, Oxford Brookes University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579554.

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Interacting with a computer game using only a simple web camera has seen a great deal of success in the computer games industry, as demonstrated by the numerous computer vision based games available for the Sony PlayStation 2 and PlayStation 3 game consoles. Computational efficiency is important for these human computer inter- action applications, so for simple interactions a fast background subtraction approach is used that incorporates a new local descriptor which uses a novel temporal coding scheme that is much more robust to noise than the standard formulations. Results are presented that

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Hawthorn, Dan. "Designing Effective Interfaces for Older Users." The University of Waikato, 2006. http://hdl.handle.net/10289/2538.

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The thesis examines the factors that need to be considered in order to undertake successful design of user interfaces for older users. The literature on aging is surveyed for age related changes that are of relevance to interface design. The findings from the literature review are extended and placed in a human context using observational studies of older people and their supporters as these older people attempted to learn about and use computers. These findings are then applied in three case studies of interface design and product development for older users. These case studies are reported a

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Halder, Sebastian [Verfasser]. "Prediction of Brain-Computer Interface Performance: For P300 and Motor Imagery Brain-Computer Interfaces / Sebastian Halder." München : Verlag Dr. Hut, 2011. http://d-nb.info/1015607330/34.

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Hobro, Mark, and Marcus Heine. "Natural Language Interfaces in Computer Games." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166592.

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Natural language processing is a complex area of computer science whichhas been under discussion for more than forty years. During recent yearsnatural language interfaces have been established in conjunction withspeech recognition. This report will cover the theory behind naturallanguage processing and evaluate the weaknesses and strengths of implementingand using a natural language interface in a text-based gameenvironment using the Natural Language Toolkit for Python. The resultsshow that the Natural Language Toolkit has great potential forimplementing a natural language interface for a text

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Zajicek, Mary Pamela. "The usability of alternative computer interfaces." Thesis, Oxford Brookes University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251356.

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Wong, Shu-Fai. "Motion recognition for human-computer interfaces." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613368.

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Yeung, C. "Spectroscopic analysis of nanodielectric interfaces." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/358897/.

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Polymeric nanocomposites have received an exceptional amount of attention over the recent years as they have the ability to possess enhanced properties. The use of nanosized phases in composite materials, as opposed to their microsized counterpart, delivers characteristics which allow nanodielectric systems to operate at an increased performance and improved efficiency. The requirements of the polymeric system can easily be tailored to suit speci�c applications with as little as 2 wt.% filler loading, whilst maintaining the typical weight of the virgin material. With the transition from microm

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Mynatt, Elizabeth D. "Transforming graphical interfaces into auditory interfaces." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/9209.

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Sebastián, Romagosa Marc. "Brain computer interfaces for brain acquired damage." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/670835.

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El terme Interfície Cervell-Ordinador (ICC), va sorgir als anys 70 pel Dr. Jacques J. Vidal, que mitjançant l’ús de l’electroencefalografia (EEG) fou el primer a intentar proporcionar una sortida alternativa als senyals cerebrals per controlar un dispositiu extern. L’objectiu principal d’aquesta fita era ajudar als pacients amb problemes de moviment i comunicació a relacionar-se amb el seu entorn. Des de llavors, molts neurocientífics han emprat aquesta idea i han intentat posar-la en pràctica utilitzant diferents mètodes d’adquisició i processament del senyal, nous dispositius d’interacció

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Books on the topic "Computer interfaces"

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Marquez-Chin, Cesar, Naaz Kapadia-Desai, and Sukhvinder Kalsi-Ryan. Brain–Computer Interfaces. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01608-0.

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Hassanien, Aboul Ella, and Ahmad Taher Azar, eds. Brain-Computer Interfaces. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10978-7.

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Graimann, Bernhard, Gert Pfurtscheller, and Brendan Allison, eds. Brain-Computer Interfaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02091-9.

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Tan, Desney S., and Anton Nijholt, eds. Brain-Computer Interfaces. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-272-8.

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Berger, Theodore W., John K. Chapin, Greg A. Gerhardt, Dennis J. McFarland, José C. Principe, Walid V. Soussou, Dawn M. Taylor, and Patrick A. Tresco. Brain-Computer Interfaces. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8705-9.

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Hordeski, Michael F. Personal computer interfaces. Maidenhead: McGraw-Hill, 1995.

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I, Vlaeminke, ed. Man-computer interfaces. Oxford: Blackwell Scientific, 1987.

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Nam, Chang S., Anton Nijholt, and Fabien Lotte, eds. Brain–Computer Interfaces Handbook. Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351231954.

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Clerc, Maureen, Laurent Bougrain, and Fabien Lotte, eds. Brain-Computer Interfaces 1. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119144977.

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Clerc, Maureen, Laurent Bougrain, and Fabien Lotte, eds. Brain-Computer Interfaces 2. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119332428.

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Book chapters on the topic "Computer interfaces"

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Tan, Desney, and Anton Nijholt. "Brain-Computer Interfaces and Human-Computer Interaction." In Brain-Computer Interfaces, 3–19. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-272-8_1.

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Marquez-Chin, Cesar, Naaz Kapadia-Desai, and Sukhvinder Kalsi-Ryan. "Brain–Computer Interfaces." In Brain–Computer Interfaces, 51–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01608-0_4.

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Brandman, David M., and Leigh R. Hochberg. "Brain Computer Interfaces." In Neurobionics: The Biomedical Engineering of Neural Prostheses, 231–63. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118816028.ch9.

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Schalk, Gerwin, and Jürgen Mellinger. "Brain–Computer Interfaces." In A Practical Guide to Brain–Computer Interfacing with BCI2000, 3–8. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-092-2_1.

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Sutcliffe, Alistair. "Computer Control Interfaces." In Human-Computer Interface Design, 156–80. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4899-6749-7_9.

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Holmes, Nate. "Camera Computer Interfaces." In Handbook of Machine and Computer Vision, 431–503. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527413409.ch8.

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Curio, Gabriel. "Brain-Computer Interfaces." In Bildverarbeitung für die Medizin 2012, 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28502-8_2.

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Millán, José del R. "Brain-Computer Interfaces." In Introduction to Neural Engineering for Motor Rehabilitation, 237–52. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118628522.ch12.

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Sibilano, Elena, Vladimiro Suglia, Antonio Brunetti, Domenico Buongiorno, Nicholas Caporusso, Christoph Guger, and Vitoantonio Bevilacqua. "Brain–Computer Interfaces." In Neuromethods, 203–40. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3545-2_10.

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He, Bin, Han Yuan, Jianjun Meng, and Shangkai Gao. "Brain–Computer Interfaces." In Neural Engineering, 131–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43395-6_4.

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Conference papers on the topic "Computer interfaces"

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Wolpaw, Jonathan R. "Brain-computer interfaces." In the 2nd ACM SIGHIT symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2110363.2110366.

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Jantz, Jay, Adam Molnar, and Ramses Alcaide. "A brain-computer interface for extended reality interfaces." In SIGGRAPH '17: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3089269.3089290.

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Rekimoto, Jun. "Multiple-computer user interfaces." In CHI '00 extended abstracts. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/633292.633297.

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Molina, Gary Garcia, Tsvetomira Tsoneva, and Anton Nijholt. "Emotional brain-computer interfaces." In 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009). IEEE, 2009. http://dx.doi.org/10.1109/acii.2009.5349478.

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Hincks, Samuel, Sarah Bratt, Sujit Poudel, Vir V. Phoha, Robert J. K. Jacob, Daniel C. Dennett, and Leanne Hirshfield. "Entropic Brain-computer Interfaces." In 4th International Conference on Physiological Computing Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006383300230034.

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Beckhaus, Steffi, and Ernst Kruijff. "Unconventional human computer interfaces." In the conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1103900.1103918.

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Igarashi, Takeo. "Sketching interfaces for computer graphics." In ACM SIGGRAPH ASIA 2009 Courses. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1665817.1665833.

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Lotte, Fabien, Junya Fujisawa, Hideaki Touyama, Rika Ito, Michitaka Hirose, and Anatole Lécuyer. "Towards ambulatory brain-computer interfaces." In the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1690388.1690452.

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McCullagh, P. J., M. P. Ware, and G. Lightbody. "Brain Computer Interfaces for inclusion." In AH '10: 2010 Augmented Human International Conference. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/1785455.1785461.

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Grynszpan, Ouriel, Jean-Claude Martin, and Jacqueline Nadel. "Human computer interfaces for autism." In CHI '05 extended abstracts. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1056808.1056931.

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Reports on the topic "Computer interfaces"

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Norcio, A. F., and J. Stanley. Adaptive Human-Computer Interfaces. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada200930.

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Tolmie, D. E., W. St. John, and D. H. DuBois. Super-speed computer interfaces and networks. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/534509.

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Terranova, M. Team-computer interfaces in complex task environments. Office of Scientific and Technical Information (OSTI), September 1990. http://dx.doi.org/10.2172/6427485.

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Kirchstetter, Thomas. Brain-computer interfaces enabled by novel magnetometers. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1755426.

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Schmidt, Nick. Control of Physical Objects Utilizing Brain Computer Interfaces. Ames (Iowa): Iowa State University, January 2020. http://dx.doi.org/10.31274/cc-20240624-423.

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Myers, Brad A. Why are Human-Computer Interfaces Difficult to Design and Implement. Fort Belvoir, VA: Defense Technical Information Center, July 1993. http://dx.doi.org/10.21236/ada268843.

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Enright, Doug, and Ron Fedkiw. Robust Treatment of Interfaces for Fluid Flows and Computer Graphics. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada479018.

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Jyothi, Yadav. Neural implants: A meta analysis on the efficacy and the possibilities of brain-computer interfaces. Ames (Iowa): Iowa State University, May 2022. http://dx.doi.org/10.31274/cc-20240624-1048.

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Franza, Bernard R. Combining Broadband Connectivity and Immersive Human-to-Computer Interfaces to Improve Medical Simulation Training and Patient Care. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada543828.

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Hannas, William, Huey-Meei Chang, Daniel Chou, and Brian Fleeger. China's Advanced AI Research: Monitoring China's Paths to "General" Artificial Intelligence. Center for Security and Emerging Technology, July 2022. http://dx.doi.org/10.51593/20210064.

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China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.

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