EyeR: Detection Support for Visually Impaired Users

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHirvola, Viet Baen_US
dc.contributor.authorShen, Yin-Chiungen_US
dc.contributor.authorHirskyj-Douglas, Ilyenaen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorTakala Tapio groupen
dc.contributor.organizationAalto Universityen_US
dc.date.accessioned2021-10-06T06:41:24Z
dc.date.available2021-10-06T06:41:24Z
dc.date.issued2019-05-03en_US
dc.descriptionKirjoittajan mukaan tämä on kokonainen tieteellinen vertaisarvioitu artikkeli, vaikka kirjan nimessä lukeekin extended abstracts.
dc.description.abstractLack of adequate support in navigation and object detection can limit independence of visually impaired (VI) people in their daily routines. Common solutions include white canes and guide dogs. White canes are useful in object detection, but require physically touching objects with the cane, which may be undesired. Guide dogs allow navigation without touching objects in the vicinity, but cannot help in object detection. By addressing this gap, employing a user-centric research approach, we aim to find a solution to improve the independence of VI people. Here, we began by initially gathering requirements through online questionnaires. Working from this, we build a prototype of a glove that alerts its users when an obstacle is detected at the pointed position; we call this EyeR. Lastly, we evaluated EyeR with VI users and found out that in use our prototype provides real time feedback and is helpful in navigation. We also provide future recommendations for VI prototypes from our participants, who would additionally like the device to recognise objects.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHirvola, V B, Shen, Y-C & Hirskyj-Douglas, I 2019, EyeR: Detection Support for Visually Impaired Users. in CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., LBW0181, ACM, ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom, 04/05/2019. https://doi.org/10.1145/3290607.3313044en
dc.identifier.doi10.1145/3290607.3313044en_US
dc.identifier.isbn978-1-4503-5971-9
dc.identifier.otherPURE UUID: 7a8f80a8-3f13-476a-a8ad-085eeb3118c6en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/7a8f80a8-3f13-476a-a8ad-085eeb3118c6en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/40521556/LBW0181.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/110323
dc.identifier.urnURN:NBN:fi:aalto-202110069518
dc.language.isoenen
dc.relation.ispartofACM SIGCHI Annual Conference on Human Factors in Computing Systemsen
dc.relation.ispartofseriesCHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systemsen
dc.rightsopenAccessen
dc.rights.copyrightPermission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the owner/author(s).
dc.titleEyeR: Detection Support for Visually Impaired Usersen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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