HaptEQ: A collaborative tool for visually impaired audio producers

Aaron Karp, Bryan A Pardo

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

Abstract

Audio production includes processing audio tracks to adjust sound levels with tools like compressors and modifying the sound with reverberation and equalization. In this paper, we focus on audio equalizers. We seek to make a tactile interface that lets blind or visually impaired users create an equalization curve in an intuitive manner. This interface should also promote collaboration between blind and sighted users. Our primary goals were to make something easy to install and intuitively understandable for both sighted and blind users. The result of this research is the HaptEQ system.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th International Audio Mostly Conference
Subtitle of host publicationAugmented and Participatory Sound and Music Experiences, AM 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450353731
DOIs
StatePublished - Aug 23 2017
Event12th International Audio Mostly Conference, AM 2017 - London, United Kingdom
Duration: Aug 23 2017Aug 26 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F131930

Other

Other12th International Audio Mostly Conference, AM 2017
CountryUnited Kingdom
CityLondon
Period8/23/178/26/17

Keywords

  • Cross modal mapping
  • Digital audio production
  • Haptic interfaces
  • Multimodal interaction
  • User centered design

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Karp, A., & Pardo, B. A. (2017). HaptEQ: A collaborative tool for visually impaired audio producers. In Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences, AM 2017 [a39] (ACM International Conference Proceeding Series; Vol. Part F131930). Association for Computing Machinery. https://doi.org/10.1145/3123514.3123531