Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31818
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dc.contributor.authorHELLER, Florian-
dc.contributor.authorAdamczyk, Jelco-
dc.contributor.authorLUYTEN, Kris-
dc.date.accessioned2020-08-25T10:19:42Z-
dc.date.available2020-08-25T10:19:42Z-
dc.date.issued2020-
dc.date.submitted2020-08-25T09:21:54Z-
dc.identifier.citation22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM, (Art N° 21)-
dc.identifier.isbn9781450375160-
dc.identifier.urihttp://hdl.handle.net/1942/31818-
dc.description.abstractBelgium Listening to music while being on the move is common in our headphone society. However, if we want assistance in navigation from our smartphone, existing approaches either demand exclusive playback through the headphones or impact the listening experience of the music. We present a field evaluation of Attracktion, a spatial audio navigation system that leverages the access to single stems in a multi-track recording to minimize the impact on the listening experience. We compared Attracktion against current turn-by-turn navigation instructions in a field-study with 22 users and found that users perceived acoustic overlays with additional navigation information to have no impact on the listening experience. In terms of path efficiency, errors, and mental workload, Attracktion is on par with spoken turn-by-turn navigation instructions, and users liked it for the aspect of serendipity.-
dc.language.isoen-
dc.publisherACM-
dc.rightsPermission 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.otherCCS Concepts: • Human-centered computing → Mixed / augmented reality-
dc.subject.otherSound-based input / output-
dc.subject.otherAuditory feedback-
dc.subject.otherField studies-
dc.subject.otherUbiquitous and mobile computing Additional Key Words and Phrases: Spatial Audio-
dc.subject.otherMusic-
dc.subject.otherNavigation-
dc.subject.otherPedestrian ACM Reference Format:-
dc.titleAttracktion: Field Evaluation of Multi-Track Audio as Unobtrusive Cues for Pedestrian Navigation-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate5-9 October 2020-
local.bibliographicCitation.conferencenameMobile HCI-
local.bibliographicCitation.conferenceplaceOldenburg, Germany (virtual)-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.bibliographicCitation.artnr21-
dc.identifier.doi10.1145/3379503.3403546-
local.provider.typePdf-
local.bibliographicCitation.btitle22nd International Conference on Human-Computer Interaction with Mobile Devices and Services-
local.uhasselt.uhpubyes-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.contributorHELLER, Florian-
item.contributorAdamczyk, Jelco-
item.contributorLUYTEN, Kris-
item.accessRightsRestricted Access-
item.validationvabb 2023-
item.fullcitationHELLER, Florian; Adamczyk, Jelco & LUYTEN, Kris (2020) Attracktion: Field Evaluation of Multi-Track Audio as Unobtrusive Cues for Pedestrian Navigation. In: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM, (Art N° 21).-
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