Portal:Human–computer interaction

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Human–computer interaction (HCI) is research in the design and the use of computer technology, which focuses on the interfaces between people (users) and computers. HCI researchers observe the ways humans interact with computers and design technologies that allow humans to interact with computers in novel ways. A device that allows interaction between human being and a computer is known as a "Human-computer Interface (HCI)".

As a field of research, human–computer interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card, Allen Newell, and Thomas P. Moran in their 1983 book, The Psychology of Human–Computer Interaction. The first known use was in 1975 by Carlisle. The term is intended to convey that, unlike other tools with specific and limited uses, computers have many uses which often involve an open-ended dialogue between the user and the computer. The notion of dialogue likens human–computer interaction to human-to-human interaction: an analogy that is crucial to theoretical considerations in the field. (Full article...)

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Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision, it employs mathematical algorithms to interpret gestures.

Gesture recognition offers a path for computers to begin to better understand and interpret human body language, previously not possible through text or unenhanced graphical (GUI) user interfaces. (Full article...)

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WikiProject Human–Computer Interaction

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The following are images from various human–computer interaction-related articles on Wikipedia.

Image 1An inside view of the Oculus Rift Crescent Bay prototype headset (from Virtual reality)
Image 2Researchers with the European Space Agency in Darmstadt, Germany, equipped with a VR headset and motion controllers, demonstrating how astronauts might use virtual reality in the future to train to extinguish a fire inside a lunar habitat (from Virtual reality)
Image 3A VPL Research DataSuit, a full-body outfit with sensors for measuring the movement of arms, legs, and trunk. Developed c. 1989. Displayed at the Nissho Iwai showroom in Tokyo (from Virtual reality)
Image 4An Omni treadmill being used at a VR convention (from Virtual reality)
Image 5Smartphone-based budget headset Samsung Gear VR in dismantled state (from Virtual reality)
Image 6A child's hand location and movement being detected by a gesture recognition algorithm (from Gesture recognition)
Image 7Paramount for the sensation of immersion into virtual reality are a high frame rate and low latency.
Image 8View-Master, a stereoscopic visual simulator, was introduced in 1939.
Image 9In theory, VR represents a participant's field of view (yellow area). (from Virtual reality)
Image 10A CAVE system at IDL's Center for Advanced Energy Studies in 2010 (from Virtual reality)
Image 11Some alternative methods of tracking and analyzing gestures, and their respective relationships (from Gesture recognition)
Image 12A Missouri National Guardsman looks into a VR training head-mounted display at Fort Leonard Wood in 2015. (from Virtual reality)
Image 13An operator controlling The Virtual Interface Environment Workstation (VIEW) at NASA Ames around 1990 (from Virtual reality)
Image 14A computer monitor provides a visual interface between the machine and the user. (from Human–computer interaction)
Image 15The Project Morpheus (PlayStation VR) headset worn at Gamescom 2015
Image 16NASA Ames's 1985 VIEW headset (from Virtual reality)
Image 17A real hand (left) is interpreted as a collection of vertices and lines in the 3D mesh version (right), and the software uses their relative position and interaction in order to infer the gesture. (from Gesture recognition)
Image 18Middleware usually processes gesture recognition, then sends the results to the user. (from Gesture recognition)
Image 19The skeletal version (right) is effectively modeling the hand (left). This has fewer parameters than the volumetric version and it's easier to compute, making it suitable for real-time gesture analysis systems. (from Gesture recognition)
Image 20The user interacts directly with hardware for the human input and output such as displays, e.g. through a graphical user interface. The user interacts with the computer over this software interface using the given input and output (I/O) hardware.
Software and hardware are matched so that the processing of the user input is fast enough, and the latency of the computer output is not disruptive to the workflow. (from Human–computer interaction)
Image 21Virtual Fixtures immersive AR system developed in 1992. Picture features Dr. Louis Rosenberg interacting freely in 3D with overlaid virtual objects called 'fixtures'. (from Virtual reality)
Image 22HTC Vive headsets worn at Mobile World Congress 2018 (from Virtual reality)
Image 23Robinson R22 Virtual Reality Training Device developed by Loft Dynamics (from Virtual reality)
Image 24These binary silhouette(left) or contour(right) images represent typical input for appearance-based algorithms. They are compared with different hand templates and if they match, the correspondent gesture is inferred. (from Gesture recognition)
Image 25U.S. Navy Hospital Corpsman demonstrating a VR parachute simulator at the Naval Survival Training Institute in 2006 (from Virtual reality)