Human–computer interaction: Difference between revisions

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{{Short description|none}}

{{More citations needed|date=December 2022}}

[[File:ComputerGolden monitorratio screenlogo imagedesign simulatedtechnique.jpg|alt=A close-up photograph of a computer monitor.|thumb|A computer monitor provides a visual interface between the machine and the user.]]

'''Human–computer interaction''' ('''HCI''') is the process through which people operate and engage with [[computer]] systems. <ref>{{Cite web |last=Rapp |first=Amon |date=2023-05-24 |title=Human–Computer Interaction |url=https://doi.org/10.1093/acrefore/9780190236557.013.47 |url-status=live |access-date=31 July 2025 |website=Oxford Research Encyclopedia of Psychology |publisher=Oxford University Press}}</ref>Research in HCI covers 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.<ref>{{Cite book |last=Helander |first=M. G. |url=https://books.google.com/books?id=6vnSAwAAQBAJ&dq=what+is+human+computer+interaction&pg=PP1 |title=Handbook of Human-Computer Interaction |date=2014-06-28 |publisher=Elsevier |isbn=978-1-4832-9513-8 |language=en}}</ref> These include visual, auditory, and tactile (haptic) feedback systems, which serve as channels for interaction in both traditional interfaces and mobile computing contexts.<ref>{{Cite journal |last1=Hampton |first1=W. H. |title=Haptic Rewards: How Mobile Vibrations Shape Reward Response and Consumer Choice |journal=Journal of Consumer Research |year=2025 |doi=10.1093/jcr/ucaf025 |url=https://doi.org/10.1093/jcr/ucaf025 }}</ref>

A device that allows interaction between human being and a computer is known as a "'''human–computer interface'''".

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* [[User experience design]]

* [[Human City Interaction]]

== Further Developments==

A significant emerging paradigm in HCI research involves shifting the conceptual model of the AI from that of a "tool" to that of a "co-creative partner." This approach, often explored under terms such as mixed-initiative systems, human-AI teaming, or symbiotic intelligence, moves beyond traditional command-response interactions. The focus is on developing systems capable of more profound collaboration.

In these models, the AI is designed not merely to execute tasks, but to engage in a reciprocal dialogue. Key areas of development include:

Intent Recognition: The ability for the AI to infer the user's underlying goals and "feeling-thought" beyond the literal text of a query, allowing it to provide more contextually relevant and creative support.

Reciprocal Learning: Systems where both the human and the AI adapt their behavior over time based on a long-term, trust-based interaction, creating a shared, evolving context.

Emergent Insight Facilitation: The design of AI that can help facilitate "aha!" moments or novel insights that were not explicitly present in the user's query or the AI's initial data, but arise from the dynamic interplay between the two.

The ultimate goal of this research direction is to create human-computer partnerships that can tackle complex, nuanced problems in science, art, and philosophy, augmenting human intellect and creativity in ways that a simple tool cannot.

Citable Concepts: Human-AI Teaming, Mixed-Initiative Systems, Symbiotic Intelligence, Co-creative AI.

==Footnotes==