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{{Short description|Interactive systems that allow organization and transmission of knowledge}}
[[File:Enactive Human Machine Interface.png|thumb|300px|Enactive human-machine interface translating the aspects of a knowledge base into modalities of perception for a human operator. The auditory, visual, and tactile presentations by the system respond to tactile input from the operator, which user input in turn depends upon the auditory, visual, and tactile feedback from the system.<ref name=Bordegoni/><ref name=Fukuda/>]]
'''Enactive interfaces''' are [[interactive]] systems that allow organization and [[wiktionary:transmission|transmission]] of [[knowledge]] obtained through action. Examples are interfaces that couple a [[human]] with a [[machine]] to do things usually done unaided, such as shaping a [[Three-dimensional space|three-dimensional]] object using multiple modality interactions with a
The enactive interface in the figure interprets manual input and provides a response in [[Perception|perceptual]] terms in the form of images, [[Sound|sounds]], and [[haptic technology|haptic (tactile) feedback]]. The system is called enactive because of the feedback loop in which the system response is decided by the user input, and the user input is driven by the perceived system responses.<ref name=Bordegoni/>
Enactive interfaces are new types of [[Human–computer interaction|human-computer interface]] that express and transmit the enactive knowledge by integrating different sensory aspects. The driving concept of enactive interfaces is then the fundamental role of motor action for storing and acquiring knowledge (action driven interfaces). Enactive interfaces are then capable of conveying and understanding gestures of the user, in order to provide an adequate response in perceptual terms. Enactive interfaces can be considered a new step in the development of the human-computer interaction because they are characterized by a closed loop between the natural gestures of the user (efferent component of the system) and the perceptual modalities activated (afferent component). Enactive interfaces can be conceived to exploit this direct loop and the capability of recognizing complex gestures.
The development of such interfaces requires the [[Creativity|creation]] of a common vision between different [[research]] areas like [[computer vision]], [[Haptic perception|haptic]] and sound processing, giving more attention on the motor action aspect of interaction. An example of prototypical systems that are able to introduce enactive interfaces are reactive robots, robots that are always in contact with the human hand (like current play console controllers, [[Wii Remote]]) and are capable of interpreting the human movements and guiding the human for the completion of a manipulation task.
==Enactive knowledge==
Enactive knowledge is information gained through perception–action interaction in the environment. In many aspects the enactive knowledge is more natural than the other forms both in terms of the learning process and in the way it is applied in the world. Such knowledge is inherently [[multimodal interaction|multimodal]] because it requires the co-ordination of the various senses. Two key characteristics of enactive knowledge are that it is ''experential''
Enactive interfaces are related to a fundamental interaction concept that often is not exploited by existing [[Human–computer interaction|human-computer interface]] technologies. As stated by cognitive psychologist [[Jerome Bruner]], the traditional interaction with the information mediated by a computer is mostly based on symbolic or iconic knowledge, and not on enactive knowledge.<ref name=Slee/> While in the symbolic way of learning knowledge is stored as words, mathematical symbols or other symbol systems, in the iconic stage knowledge is stored in the form of visual images, such as diagrams and illustrations that can accompany verbal information. On the other hand, enactive knowledge is a form of knowledge based on active participation, knowing by doing, by living rather than thinking.<ref name=Slee2/>
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==ENACTIVE Network of Excellence==
The research on enactive knowledge and enactive interfaces is the objective of the ENACTIVE Network of Excellence. A Network of Excellence is a [[European Economic Community|European Community]] research instrument that provides fundings for the integration of the research activities of different research laboratories and institutions. The ENACTIVE NoE started in 2004 with more than 20 partners with the objective of ''the creation of a multidisciplinary research community with the aim of structuring the research on a new generation of human-computer interfaces called Enactive Interfaces
Since 2004, the partners, coordinated by the PERCRO laboratory, have improved both the theoretical aspects of enaction, through seminars and the creation of a [[lexicon]], and the technological aspects necessary for the creation of enactive interfaces. Every year the status of the ENACTIVE NoE is presented through an international conference.<ref name=PERCRO/>
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==References==
{{
<ref name=Bordegoni>
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<ref name=Held>
{{cite book |title=Research on Technology and the Teaching and Learning of Mathematics |editor1=Mary Kathleen Heid |editor2=Glendon W
</ref>
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<ref name=Stoffregen>
{{cite journal |title=Affordances in the design of enactive systems |author1=TA Stoffregen |author2=BG Bardy |author3=B Mantel |journal=Virtual Reality |volume=10 |issue=1 |year=2006 |pages=4–10 |doi=10.1007/s10055-006-0025-7|s2cid=8334591 |url=https://hal.archives-ouvertes.fr/hal-02939726/file/SB%26M_VirtualReality%282006%29.pdf }}
</ref>
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==Further reading==
*{{cite book |title=Orchestrating Human-Centered Design |author=Guy Boy |url=https://books.google.com/books?id=I5gCTZCIL3AC&pg
*{{cite journal |title=The systemics of dialogism: On the prevalence of the self in HCI design |author=Colin T Schmidt |journal=Journal of the American Society for Information Science |volume=48 |issue=11 |pages=1073–1081 |year=1997 |url=https://www.researchgate.net/publication/220433804 |doi=10.1002/(sici)1097-4571(199711)48:11<1073::aid-asi9>3.0.co;2-t}} Autopoiesic systems.
*{{cite journal |title=An autopoietic approach for knowledge management systems in manufacturing enterprises |author1=Markus Thannhuber |author2=Mitchell M Tseng |author3=Hans-Jörg Bullinger |url=https://www.researchgate.net/publication/223035600 |journal=Annals of the CIRP-Manufacturing Technology |volume=50 |issue=1 |year=2001 |pages=313 ''ff'' |doi=10.1016/s0007-8506(07)62129-5}}
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