EyeR: Detection Support for Visually Impaired Users
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Hirvola, Viet Ba | en_US |
dc.contributor.author | Shen, Yin-Chiung | en_US |
dc.contributor.author | Hirskyj-Douglas, Ilyena | en_US |
dc.contributor.department | Department of Computer Science | en |
dc.contributor.groupauthor | Takala Tapio group | en |
dc.contributor.organization | Aalto University | en_US |
dc.date.accessioned | 2021-10-06T06:41:24Z | |
dc.date.available | 2021-10-06T06:41:24Z | |
dc.date.issued | 2019-05-03 | en_US |
dc.description | Kirjoittajan mukaan tämä on kokonainen tieteellinen vertaisarvioitu artikkeli, vaikka kirjan nimessä lukeekin extended abstracts. | |
dc.description.abstract | Lack 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.version | Peer reviewed | en |
dc.format.extent | 6 | |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Hirvola, 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/10.1145/3290607.3313044 | en |
dc.identifier.doi | 10.1145/3290607.3313044 | en_US |
dc.identifier.isbn | 978-1-4503-5971-9 | |
dc.identifier.other | PURE UUID: 7a8f80a8-3f13-476a-a8ad-085eeb3118c6 | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/7a8f80a8-3f13-476a-a8ad-085eeb3118c6 | en_US |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/40521556/LBW0181.pdf | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/110323 | |
dc.identifier.urn | URN:NBN:fi:aalto-202110069518 | |
dc.language.iso | en | en |
dc.relation.ispartof | ACM SIGCHI Annual Conference on Human Factors in Computing Systems | en |
dc.relation.ispartofseries | CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems | en |
dc.rights | openAccess | en |
dc.rights.copyright | Permission 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.title | EyeR: Detection Support for Visually Impaired Users | en |
dc.type | A4 Artikkeli konferenssijulkaisussa | fi |
dc.type.version | acceptedVersion |