Cognitive modelling and analysis of joint improvisation modality using the experimental data
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Abstract (EN)
How does physical interaction affect predictive behavior in biological movements? In this thesis, the movements of human and mammalian neural network-inspired virtual players are observed with improviser and follower models using the mirror game paradigm joint improvisation modality. The main purpose of this thesis is to show the improvement of motion estimation in humans by using different haptic information scenarios. Using mathematical metrics, higher complexity of tactile interaction between improvisers has enhanced improvisation performance over two suggested set-ups.
Author
Atacan Duman
How to Cite
Atacan Duman (Master Thesis). Cognitive modelling and analysis of joint improvisation modality using the experimental data, 2023, TED University.
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