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Computer programming is the process of performing a particular computation, usually by designing and building an executable computer program. Programming involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms. The source code of a program is written in one or more languages that are intelligible to programmers, rather than machine code, which is directly executed by the central processing unit. The purpose of programming is to find a sequence of instructions that will automate the performance of a task on a computer, often for solving a given problem. Proficient programming thus usually requires expertise in several different subjects, including knowledge of the application domain, specialized algorithms, and formal logic.
Cognitive science is the interdisciplinary, scientific study of the mind and its processes with input from linguistics, psychology, neuroscience, philosophy, computer science/artificial intelligence, and anthropology. It examines the nature, the tasks, and the functions of cognition. Cognitive scientists study intelligence and behavior, with a focus on how nervous systems represent, process, and transform information. Mental faculties of concern to cognitive scientists include language, perception, memory, attention, reasoning, and emotion; to understand these faculties, cognitive scientists borrow from fields such as linguistics, psychology, artificial intelligence, philosophy, neuroscience, and anthropology. The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. One of the fundamental concepts of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.
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The following outline is provided as an overview of and topical guide to human–computer interaction:
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Cognitive dimensions or cognitive dimensions of notations are design principles for notations, user interfaces and programming languages, described by researcher Thomas R.G. Green and further researched with Marian Petre. The dimensions can be used to evaluate the usability of an existing information artifact, or as heuristics to guide the design of a new one, and are useful in Human-Computer Interaction design.
Secondary notation is the set of visual cues used to improve the readability of a formal notation. Examples of secondary notation include the syntax highlighting of computer source code, sizes and color codes for easy recognition of consumer symbols such as bank notes or coins, or the regular typographic conventions often found in technical books to highlight sections with the same type of content.
Gender HCI is a subfield of human-computer interaction that focuses on the design and evaluation of interactive systems for humans. The specific emphasis in gender HCI is on variations in how people of different genders interact with computers.
An interaction technique, user interface technique or input technique is a combination of hardware and software elements that provides a way for computer users to accomplish a single task. For example, one can go back to the previously visited page on a Web browser by either clicking a button, pressing a key, performing a mouse gesture or uttering a speech command. It is a widely used term in human-computer interaction. In particular, the term "new interaction technique" is frequently used to introduce a novel user interface design idea.
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)".
Alan F. Blackwell is a New Zealand-British cognition scientist and professor at the Computer Laboratory, University of Cambridge, known for his work on diagrammatic representation, on data and language modelling, investment modelling, and end-user software engineering.
Marian Petre is a British computer scientist and Professor of Computing at the Open University and Director of its Centre for Research in Computing (CRC), known for her work on Visual Programming Environments, and co-developed the concept of cognitive dimensions of notations.
References
- ↑ Scaife, Mike, and Yvonne Rogers. "External cognition: how do graphical representations work?." International journal of human-computer studies 45.2 (1996): 185-213.
- ↑ Jacko, Julie A., ed. Human Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications. CRC press, 2012.
- ↑ William Sims Bainbridge (2004). Berkshire Encyclopedia of Human-computer Interaction. p. 794
- ↑ Areas of Research Interest Archived 4 March 2016 at the Wayback Machine at Thomas Green, home page. Accessed 13.04.2015.
- ↑ Thomas R. G. Green at DBLP Bibliography Server
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