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An Interactive Space as a Creature: Mechanisms of Agency Attribution and Autotelic Experience

An Interactive Space as a Creature: Mechanisms of Agency Attribution and Autotelic Experience

Ulysses Bernardet, Jaume Subirats Aleixandri, Paul F.M.J. Verschure
Copyright: © 2017 |Volume: 1 |Issue: 1 |Pages: 15
ISSN: 2473-537X|EISSN: 2473-5388|EISBN13: 9781522506256|DOI: 10.4018/ijvar.2017010101
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MLA

Bernardet, Ulysses, et al. "An Interactive Space as a Creature: Mechanisms of Agency Attribution and Autotelic Experience." IJVAR vol.1, no.1 2017: pp.1-15. http://doi.org/10.4018/ijvar.2017010101

APA

Bernardet, U., Aleixandri, J. S., & Verschure, P. F. (2017). An Interactive Space as a Creature: Mechanisms of Agency Attribution and Autotelic Experience. International Journal of Virtual and Augmented Reality (IJVAR), 1(1), 1-15. http://doi.org/10.4018/ijvar.2017010101

Chicago

Bernardet, Ulysses, Jaume Subirats Aleixandri, and Paul F.M.J. Verschure. "An Interactive Space as a Creature: Mechanisms of Agency Attribution and Autotelic Experience," International Journal of Virtual and Augmented Reality (IJVAR) 1, no.1: 1-15. http://doi.org/10.4018/ijvar.2017010101

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Abstract

Interacting with an animal is a highly immersing and satisfactory experience. How can interaction with an artifact can be imbued with the quality of an interaction with a living being? The authors propose a theoretical relationship that puts the predictability of the human-artifact interaction at the center of the attribution of agency and experience of “flow.” They empirically explored three modes of interaction that differed in the level of predictability of the interactive space's behavior. The results of the authors' study give support to the notion that there is a sweet spot of predictability in the reactions of the space that leads users to perceive the space as a creature. Flow factors discriminated between the different modes of interaction and showed the expected nonlinear relationship with the predictability of the interaction. The authors' results show that predictability is a key factor to induce an attribution of agency, and they hope that their study can contribute to a more systematic approach to designing satisfactory and rich interaction between humans and machines.

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