EyeR: Detection Support for Visually Impaired Users

Research output: Contribution to conferencePaperScientificpeer-review

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EyeR: Detection Support for Visually Impaired Users. / Hirvola, Viet Ba; Shen, Yin-Chiung; Hirskyj-Douglas, Ilyena.

2019. Paper presented at ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom.

Research output: Contribution to conferencePaperScientificpeer-review

Harvard

Hirvola, VB, Shen, Y-C & Hirskyj-Douglas, I 2019, 'EyeR: Detection Support for Visually Impaired Users' Paper presented at ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom, 04/05/2019 - 09/05/2019, .

APA

Hirvola, V. B., Shen, Y-C., & Hirskyj-Douglas, I. (2019). EyeR: Detection Support for Visually Impaired Users. Paper presented at ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom.

Vancouver

Hirvola VB, Shen Y-C, Hirskyj-Douglas I. EyeR: Detection Support for Visually Impaired Users. 2019. Paper presented at ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom.

Author

Hirvola, Viet Ba ; Shen, Yin-Chiung ; Hirskyj-Douglas, Ilyena. / EyeR: Detection Support for Visually Impaired Users. Paper presented at ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Glasgow, United Kingdom.

Bibtex - Download

@conference{7a8f80a83f13476aa8ad085eeb3118c6,
title = "EyeR: Detection Support for Visually Impaired Users",
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.",
author = "Hirvola, {Viet Ba} and Yin-Chiung Shen and Ilyena Hirskyj-Douglas",
year = "2019",
month = "5",
day = "3",
language = "English",
note = "ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI ; Conference date: 04-05-2019 Through 09-05-2019",
url = "https://chi2019.acm.org/",

}

RIS - Download

TY - CONF

T1 - EyeR: Detection Support for Visually Impaired Users

AU - Hirvola, Viet Ba

AU - Shen, Yin-Chiung

AU - Hirskyj-Douglas, Ilyena

PY - 2019/5/3

Y1 - 2019/5/3

N2 - 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.

AB - 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.

M3 - Paper

ER -

ID: 32562964