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Authors: Hidefumi Ohmura 1 ; Takuro Shibayama 2 ; Masahide Yuasa 3 ; Takayuki Hamano 4 and Ryu Nakagawa 5

Affiliations: 1 Tokyo University of Science, Japan ; 2 Tokyo Denki University and ZKM, Japan ; 3 Shonan Institute of Technology, Japan ; 4 Tokyo University of the Arts, Japan ; 5 Nagoya City University, Japan

ISBN: 978-989-758-275-2

Keyword(s): Ambience, Mood, Emotion, Entropy.

Abstract: Ambience is an abstract concept of sensory information. If we can control sensory information, then we will be able to somehow provide ambience as needed. We developed a controllable ambience model using the entropy of distribution functions based on this hypothesis. We adapted the model to several sensory modes, such as facial expressions, tones, and unobjective figures written in HTML and JavaScript available on any browser. We introduce these systems in this paper.

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Paper citation in several formats:
Ohmura, H.; Shibayama, T.; Yuasa, M.; Hamano, T. and Nakagawa, R. (2018). Development of a System to Generate Artificial Ambiance based on Entropy.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT, ISBN 978-989-758-275-2, pages 333-338. DOI: 10.5220/0006730103330338

@conference{hamt18,
author={Hidefumi Ohmura. and Takuro Shibayama. and Masahide Yuasa. and Takayuki Hamano. and Ryu Nakagawa.},
title={Development of a System to Generate Artificial Ambiance based on Entropy},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT,},
year={2018},
pages={333-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006730103330338},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: HAMT,
TI - Development of a System to Generate Artificial Ambiance based on Entropy
SN - 978-989-758-275-2
AU - Ohmura, H.
AU - Shibayama, T.
AU - Yuasa, M.
AU - Hamano, T.
AU - Nakagawa, R.
PY - 2018
SP - 333
EP - 338
DO - 10.5220/0006730103330338

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