TY - GEN
T1 - Enhancing Walk-Light Detector Usage for the Visually Impaired
T2 - 21st International Web for All Conference, W4A 2024
AU - Hong, Jonggi
AU - Coughlan, James
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/10/22
Y1 - 2024/10/22
N2 - People with visual impairments (PVI) increasingly rely on camera-enabled smartphone apps for tasks like photography, navigation, and text recognition. Despite the growing use of these applications, precise camera aiming remains a significant challenge. This study explores the impact of virtual reality (VR) exploration compared to traditional text/audio (TA) instructions in the context of learning to use a walk-light detector app at traffic intersections. We developed a VR exploration tool based on insights gathered from interviews with PVI. A user study was conducted, involving 13 PVI participants divided into two groups: VR exploration and TA instructions. Following indoor training using the respective approaches, participants from both groups used the walk light detector app outdoors. According to the participants' subjective feedback, a higher proportion of participants in the TA group found the training easier, potentially due to shortcomings in our VR protocol and differences between the real world and VR. However, more VR participants gained insights into walk light detection and felt unable to use the detector without VR training, compared to the TA group.
AB - People with visual impairments (PVI) increasingly rely on camera-enabled smartphone apps for tasks like photography, navigation, and text recognition. Despite the growing use of these applications, precise camera aiming remains a significant challenge. This study explores the impact of virtual reality (VR) exploration compared to traditional text/audio (TA) instructions in the context of learning to use a walk-light detector app at traffic intersections. We developed a VR exploration tool based on insights gathered from interviews with PVI. A user study was conducted, involving 13 PVI participants divided into two groups: VR exploration and TA instructions. Following indoor training using the respective approaches, participants from both groups used the walk light detector app outdoors. According to the participants' subjective feedback, a higher proportion of participants in the TA group found the training easier, potentially due to shortcomings in our VR protocol and differences between the real world and VR. However, more VR participants gained insights into walk light detection and felt unable to use the detector without VR training, compared to the TA group.
KW - Blind photography
KW - blindness and low vision
KW - navigation
KW - virtual reality
KW - walk light
UR - http://www.scopus.com/inward/record.url?scp=85211490372&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85211490372&partnerID=8YFLogxK
U2 - 10.1145/3677846.3677849
DO - 10.1145/3677846.3677849
M3 - Conference contribution
AN - SCOPUS:85211490372
T3 - W4A 2024 - 21st International Web for All Conference
SP - 139
EP - 149
BT - W4A 2024 - 21st International Web for All Conference
Y2 - 13 May 2024 through 14 May 2024
ER -