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Part of book or chapter of book . 2011 . Peer-reviewed
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Part of book or chapter of book . 2011 . Peer-reviewed
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https://doi.org/10.4018/978160...
Part of book or chapter of book . 2011 . Peer-reviewed
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https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2009 . Peer-reviewed
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https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2008 . Peer-reviewed
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https://doi.org/10.4018/978187...
Part of book or chapter of book . 2011 . Peer-reviewed
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https://doi.org/10.4018/978160...
Part of book or chapter of book . 2011 . Peer-reviewed
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https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2009 . Peer-reviewed
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Neo-Symbiosis

The Next Stage in the Evolution of Human Information Interaction
Authors: Douglas Griffith; Frank L. Greitzer;
Abstract

The purpose of this article is to re-address the vision of human-computer symbiosis as originally expressed by J.C.R. Licklider nearly a half-century ago and to argue for the relevance of this vision to the field of cognitive informatics. We describe this vision, place it in some historical context relating to the evolution of human factors research, and observe that the field is now in the process of re-invigorating Licklider’s vision. A central concept of this vision is that humans need to be incorporated into computer architectures. We briefly assess the state of the technology within the context of contemporary theory and practice, and we describe what we regard as this emerging field of neo-symbiosis. Examples of neo-symbiosis are provided, but these are nascent examples and the potential of neo-symbiosis is yet to be realized. We offer some initial thoughts on requirements to define functionality of neo-symbiotic systems and discuss research challenges associated with their development and evaluation. Methodologies and metrics for assessing neo-symbiosis are discussed.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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