AtmoSphere: Designing cross-modal music experiences using spatial audio with haptic feedback

Haruna Fushimi, Daiya Kato, Youichi Kamiyama, Kazuya Yanagihara, Kouta Minamizawa, Kai Steven Kunze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We use cross-Modal correspondence-the interaction between two or more sensory modalities-to create an engaging user experience. We present atmoSphere, a system that provides users immersive music experiences using spatial audio and haptic feedback. We focused on cross-modality of auditory and haptic sensations to augment the sound environment. The atmoSphere consists of a spatialized music and a sphere shaped device which provides haptic feedback. It provides users imagination of large sound environment although they feel haptic sensation in their hands. First user feedback is very encouraging. According to participants, atmoSphere creates an engaging experience.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2017 Emerging Technologies, SIGGRAPH 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450350129
DOIs
Publication statusPublished - 2017 Jul 30
EventACM SIGGRAPH 2017 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2017 - Los Angeles, United States
Duration: 2017 Jul 302017 Aug 3

Other

OtherACM SIGGRAPH 2017 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2017
CountryUnited States
CityLos Angeles
Period17/7/3017/8/3

Keywords

  • AtmoSphere
  • Cross-modality
  • Haptics
  • Spatial sound

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Computer Vision and Pattern Recognition

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    Fushimi, H., Kato, D., Kamiyama, Y., Yanagihara, K., Minamizawa, K., & Kunze, K. S. (2017). AtmoSphere: Designing cross-modal music experiences using spatial audio with haptic feedback. In ACM SIGGRAPH 2017 Emerging Technologies, SIGGRAPH 2017 [a4] Association for Computing Machinery, Inc. https://doi.org/10.1145/3084822.3084845