TY - JOUR
T1 - AIGuide
T2 - Augmented Reality Hand Guidance in a Visual Prosthetic
AU - Lee, Sooyeon
AU - Aldas, Nelson Daniel Troncoso
AU - Lee, Chonghan
AU - Rosson, Mary Beth
AU - Carroll, John M.
AU - Narayanan, Vijaykrishnan
N1 - Publisher Copyright:
© 2022 Association for Computing Machinery.
PY - 2022/6
Y1 - 2022/6
N2 - Locating and grasping objects is a critical task in people's daily lives. For people with visual impairments, this task can be a daily struggle. The support of augmented reality frameworks in smartphones can overcome the limitations of current object detection applications designed for people with visual impairments. We present AIGuide, a self-contained smartphone application that leverages augmented reality technology to help users locate and pick up objects around them. We conducted a user study to investigate the effectiveness of AIGuide in a visual prosthetic for providing guidance; compare it to other assistive technology form factors; investigate the use of multimodal feedback, and provide feedback about the overall experience. We gathered performance data and participants' reactions and analyzed videos to understand users' interactions with the nonvisual smartphone user interface. Our results show that AIGuide is a promising technology to help people with visual impairments locate and acquire objects in their daily routine. The benefits of AIGuide may be enhanced with appropriate interaction design.
AB - Locating and grasping objects is a critical task in people's daily lives. For people with visual impairments, this task can be a daily struggle. The support of augmented reality frameworks in smartphones can overcome the limitations of current object detection applications designed for people with visual impairments. We present AIGuide, a self-contained smartphone application that leverages augmented reality technology to help users locate and pick up objects around them. We conducted a user study to investigate the effectiveness of AIGuide in a visual prosthetic for providing guidance; compare it to other assistive technology form factors; investigate the use of multimodal feedback, and provide feedback about the overall experience. We gathered performance data and participants' reactions and analyzed videos to understand users' interactions with the nonvisual smartphone user interface. Our results show that AIGuide is a promising technology to help people with visual impairments locate and acquire objects in their daily routine. The benefits of AIGuide may be enhanced with appropriate interaction design.
UR - http://www.scopus.com/inward/record.url?scp=85132073796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132073796&partnerID=8YFLogxK
U2 - 10.1145/3508501
DO - 10.1145/3508501
M3 - Article
AN - SCOPUS:85132073796
SN - 1936-7228
VL - 15
JO - ACM Transactions on Accessible Computing
JF - ACM Transactions on Accessible Computing
IS - 2
M1 - 12
ER -