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Conceptual visual human algorithms: requirement-driven skiing algorithm design

Authors: Tosiyasu L. Kunii;

Conceptual visual human algorithms: requirement-driven skiing algorithm design

Abstract

As the key visual display- and processing- element of information super highway nodes, computer graphics is advancing into dynamic and higher dimensional visual worlds. So is visual algorithms to program visual worlds as the contents of information super highways. This research presents a drastic approach in designing visual algorithms to construct visual worlds. The address is on the most critical phase of conceptual design that has been conducted ad hoc in designers' mind. Conceptual visual algorithms make mental design processes and design results explicitly represented in a computer executable form after interactive machine translation. Hence, they are explicitly validatable against the design requirements. Taking a popular case of human performance design including dramas, music performance and sporting, recreational skiing algorithm design in particular as an example of visual world design, we show a requirement-driven approach to conceptual visual human algorithm design produces a truly effective skiing method to meet wide varieties of recreational requirements.

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selected citations
These citations are derived from selected sources.
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!
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Average
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