TY - GEN
T1 - An Augmented Reality Assistant to Support Button Selection for Patients with Age-related Macular Degeneration
AU - Goncalves, Patrik
AU - Orlosky, Jason
AU - MacHulla, Tonja Katrin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Age-related macular degeneration (AMD) is the most common cause for acquired blindness in industrialized countries. It mainly affects sensory receptors of the central visual field. Individuals with AMD have difficulty recognizing faces and reading or distinguishing the keys on a keyboard. However, their peripheral vision is not affected, so patients can still recognize colors and shapes in the periphery. With the rise of head-mounted displays (HMD), new possibilities have emerged to create novel visual aids. We present a visual assistant that magnifies a captured video stream and presents the magnified image to the user within a section of the screen. In this work, we examine how different sizes of this magnification section as well as magnification factors may affect the precision, accuracy and speed of inputting words on a keyboard for patients with AMD, which we simulated with eye-tracking. For this, we conducted a quantitative experiment with 16 healthy participants and a qualitative case study with a patient. Finally, we conclude with results and future work.
AB - Age-related macular degeneration (AMD) is the most common cause for acquired blindness in industrialized countries. It mainly affects sensory receptors of the central visual field. Individuals with AMD have difficulty recognizing faces and reading or distinguishing the keys on a keyboard. However, their peripheral vision is not affected, so patients can still recognize colors and shapes in the periphery. With the rise of head-mounted displays (HMD), new possibilities have emerged to create novel visual aids. We present a visual assistant that magnifies a captured video stream and presents the magnified image to the user within a section of the screen. In this work, we examine how different sizes of this magnification section as well as magnification factors may affect the precision, accuracy and speed of inputting words on a keyboard for patients with AMD, which we simulated with eye-tracking. For this, we conducted a quantitative experiment with 16 healthy participants and a qualitative case study with a patient. Finally, we conclude with results and future work.
KW - Accessibility systems and tools
KW - Applied computing
KW - Computing methodologies
KW - Health informatics
KW - Human-centered computing
KW - Human-centered computing
KW - Mixed / augmented reality
KW - Visualization toolkits
UR - http://www.scopus.com/inward/record.url?scp=85085375113&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085375113&partnerID=8YFLogxK
U2 - 10.1109/VRW50115.2020.00216
DO - 10.1109/VRW50115.2020.00216
M3 - Conference contribution
AN - SCOPUS:85085375113
T3 - Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
SP - 731
EP - 732
BT - Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
Y2 - 22 March 2020 through 26 March 2020
ER -
