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http://hdl.handle.net/1942/26412
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DC Field | Value | Language |
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dc.contributor.author | HELLER, Florian | - |
dc.contributor.author | SCHOENING, Johannes | - |
dc.date.accessioned | 2018-07-25T13:03:23Z | - |
dc.date.available | 2018-07-25T13:03:23Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, ACM, (Art N° 637) | - |
dc.identifier.isbn | 9781450356206 | - |
dc.identifier.uri | http://hdl.handle.net/1942/26412 | - |
dc.description.abstract | As humans, we have the natural capability of localizing the origin of sounds. Spatial audio rendering leverages this skill by applying special filters to recorded audio to create the impression that a sound emanates from a certain position in the physical space. A main application for spatial audio on mobile devices is to provide non-visual navigation cues. Current systems require users to either listen to artificial beacon sounds, or the entire audio source (e.g., a song) is re-positioned in space, which impacts the listening experience. We present NavigaTone, a system that takes advantage of multi-track recordings and provides directional cues by moving a single track in the auditory space. While minimizing the impact of the navigation component on the listening experience, a user study showed that participants could localize sources as good as with stereo panning while the listening experience was rated to be closer to common music listening. | - |
dc.description.sponsorship | . This work is part of the SeRGIo project and the Volkswagen Foundation through a Lichtenberg Professorship. SeRGIo is an icon project realized in collaboration with imec, with project support from VLAIO (Flanders Innovation & Entrepreneurship). | - |
dc.language.iso | en | - |
dc.publisher | ACM | - |
dc.rights | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. | - |
dc.subject.other | virtual audio spaces; spatial audio; mobile devices; audio augmented reality; navigation | - |
dc.title | NavigaTone: Seamlessly Embedding Navigation Cues in Mobile Music Listening | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 21-26/04/2018 | - |
local.bibliographicCitation.conferencename | The international conference of Human-Computer Interaction 2018 (CHI 2018) | - |
local.bibliographicCitation.conferenceplace | Montreal, Canada | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | New York, NY, USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.bibliographicCitation.artnr | 637 | - |
dc.source.type | Meeting | - |
dc.identifier.doi | 10.1145/3173574.3174211 | - |
dc.identifier.isi | 000509673107072 | - |
local.provider.type | Web of Science | - |
local.bibliographicCitation.btitle | CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems | - |
item.validation | ecoom 2021 | - |
item.validation | vabb 2021 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | HELLER, Florian & SCHOENING, Johannes (2018) NavigaTone: Seamlessly Embedding Navigation Cues in Mobile Music Listening. In: CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, ACM, (Art N° 637). | - |
item.accessRights | Restricted Access | - |
item.contributor | HELLER, Florian | - |
item.contributor | SCHOENING, Johannes | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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paper637.pdf Restricted Access | Published version | 2.27 MB | Adobe PDF | View/Open Request a copy |
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