I Feel You: What makes algorithmic experience personal?
Author(s) -
Ivan P. Yamshchikov,
Alexey Tikhonov
Publication year - 2018
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/evac18.32
Subject(s) - computer science , context (archaeology) , human–computer interaction , robot , uncanny , uncanny valley , artificial intelligence , cognitive science , aesthetics , psychology , art , paleontology , biology
Since artificial neural networks are excelling in stylization of visual, textual and acoustic objects, we discuss the potential of such technologies in context of human-to-machine interactions in general and in an artistic context specifically. We discuss a paradigm of an uncanny-valley that was originally proposed for human-robot interaction and look at it at a new angle working with algorithms rather than with robots. We propose an exploration framework for human-algorithm interaction and illustrate basic principles of such interactions with two case studies on the verge of art and computer science. Finally, we discuss how exploration paradigm outlines the vector of further humanalgorithm collaborations.
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