User-centric Study of Patients' Receptiveness Towards the Web-based Automated Vision Impairment Gaze-tracking Analysis Systems

NCT ID: NCT07338513

Last Updated: 2026-01-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2026-01-31

Study Completion Date

2027-09-30

Brief Summary

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Age-Related Macular Degeneration (AMD) is the leading cause of central vision loss among older adults worldwide. Patients with AMD often require frequent monitoring of visual function and disease progression, typically through multiple follow-up visits involving optical coherence tomography (OCT), visual acuity testing (VA), and clinical consultations.

While digital self-monitoring tools have emerged as promising solutions to reduce the burden of in-clinic visits, many elderly patients face challenges in engaging with these platforms due to visual impairment, limited digital literacy, and poorly optimised user interfaces. These barriers may reduce patient willingness to adopt such systems and undermine their long-term effectiveness.

To address this gap, the study team has developed the web-based AVIGA (Automated Vision Impairment Gaze-tracking Analysis) system, which is a portable, self-administered, home-based digital monitoring system designed to minimise cognitive load and maximise usability for elderly AMD patients. The platform integrates patient-centred design principles such as simplified navigation, optimised text, and multimodal feedback (visual and audio) to empower users to independently track their visual health.

A prospective, single-site usability trial to evaluate the AVIGA platform using validated human factors measures: the System Usability Scale (SUS), the Technology Acceptance Model (TAM) will be conducted. By examining the relationship between usability, cognitive load, and perceived empowerment, this study aims to identify critical user interface and user experience (UI/UX) design factors that influence willingness to adopt and sustain use of digital health tools among elderly AMD patients.

Detailed Description

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Conditions

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Age-Related Macular Degeneration Wet Age-related Macular Degeneration

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. Subjects in the age group ≥ 55 to 99 years old.
2. Both genders
3. Able to understand verbal spoken instructions in British/American English, Chinese or Bahasa Melayu and demonstrate device functionality and implementation.
4. Subjects undergoing treatment for Wet-AMD without any signs and symptoms of recurrence of active AMD (AMD recurrence: choroidal neovascularisation, intraretinal or subretinal fluid is present) with OCT lesion fluid volume more than 2mm2 or ILM height more than 300µm.
5. Ability to comply with the study protocol, in the investigator's judgment.
6. Subjects must be able to understand and provide informed consent. A signed informed consent form must be provided before any study assessments.

Exclusion Criteria

1. Unable to understand verbal spoken instructions and demonstrate device functionality and implementation.
2. Unable to turn on and connect their computer to the AVIGA platform independently.
3. Any ocular surgery in the previous 3 months, or vitrectomy in the previous 12 months
4. Any history of macular pathology unrelated to AMD affecting vision or contributing to the presence of intraretinal or subretinal fluid in the study eye
5. Any concurrent intraocular condition in the study eye that, in the opinion of the investigator, could either reduce the potential for visual improvement or require medical or surgical intervention during the study
6. Any prior or concomitant treatment for CNV or vitreomacular-interface abnormalities in the study eye.
7. History of idiopathic or autoimmune-associated uveitis in either eye
8. Active ocular inflammation or suspected or active ocular or periocular infection in either eye.
9. Severe cognitive impairment, comorbid conditions severely limiting participation (e.g., advanced hearing loss)
Minimum Eligible Age

55 Years

Maximum Eligible Age

99 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Tan Tock Seng Hospital

OTHER

Sponsor Role lead

Responsible Party

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Laude Augustinus

Senior Consultant

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Augustinus Laude, MBChB

Role: PRINCIPAL_INVESTIGATOR

Tan Tock Seng Hospital

Zheng Kuang Noel Soh, BSc

Role: STUDY_DIRECTOR

Tan Tock Seng Hospital

Locations

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Tan Tock Seng Hospital

Singapore, , Singapore

Site Status

Countries

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Singapore

Central Contacts

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Zheng Kuang Noel Soh, BSc

Role: CONTACT

+65 6256 6011

References

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Huiying Liu, Wong D, Ai Ping Yow, Yanwu Xu, Fengshou Yin, Laude A, Tock Han Lim. Determining the difference in eyegaze measurements in individuals with age related macular degeneration. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:1348-1351. doi: 10.1109/EMBC.2016.7590957.

Reference Type BACKGROUND
PMID: 28268575 (View on PubMed)

Huiying Liu, Yanwu Xu, Damon Wong, Ai Ping Yow, Laude A, Tock Han Lim. Detecting impaired vision caused by AMD from gaze data. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:3142-3145. doi: 10.1109/EMBC.2017.8037523.

Reference Type BACKGROUND
PMID: 29060564 (View on PubMed)

Liu, H., et al., Vision assessment based on gaze. 2019, AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH [SG/SG]; 1 Fusionopolis Way, #20-10 Connexis North Tower, Singapore 138632, SG: Singapore.

Reference Type BACKGROUND

Goldberg, J.H. and X.P. Kotval, Computer interface evaluation using eye movements: methods and constructs. International journal of industrial ergonomics, 1999. 24(6): p. 631-645.

Reference Type BACKGROUND

Loewenstein A; Richard & Hinda Rosenthal Foundation. The significance of early detection of age-related macular degeneration: Richard & Hinda Rosenthal Foundation lecture, The Macula Society 29th annual meeting. Retina. 2007 Sep;27(7):873-8. doi: 10.1097/IAE.0b013e318050d2ec.

Reference Type BACKGROUND
PMID: 17891011 (View on PubMed)

Goldberg, J.H. and A.M. Wichansky, Eye tracking in usability evaluation: A practitioner's guide, in the Mind's Eye. 2003, Elsevier. p. 493-516.

Reference Type BACKGROUND

Age-Related Eye Disease Study Research Group. The Age-Related Eye Disease Study (AREDS): design implications. AREDS report no. 1. Control Clin Trials. 1999 Dec;20(6):573-600. doi: 10.1016/s0197-2456(99)00031-8.

Reference Type BACKGROUND
PMID: 10588299 (View on PubMed)

Chew EY, Clemons TE, Agron E, Sperduto RD, Sangiovanni JP, Davis MD, Ferris FL 3rd; Age-Related Eye Disease Study Research Group. Ten-year follow-up of age-related macular degeneration in the age-related eye disease study: AREDS report no. 36. JAMA Ophthalmol. 2014 Mar;132(3):272-7. doi: 10.1001/jamaophthalmol.2013.6636.

Reference Type BACKGROUND
PMID: 24385141 (View on PubMed)

AREDS2 Research Group; Chew EY, Clemons T, SanGiovanni JP, Danis R, Domalpally A, McBee W, Sperduto R, Ferris FL. The Age-Related Eye Disease Study 2 (AREDS2): study design and baseline characteristics (AREDS2 report number 1). Ophthalmology. 2012 Nov;119(11):2282-9. doi: 10.1016/j.ophtha.2012.05.027. Epub 2012 Jul 26.

Reference Type BACKGROUND
PMID: 22840421 (View on PubMed)

AREDS2-HOME Study Research Group; Chew EY, Clemons TE, Bressler SB, Elman MJ, Danis RP, Domalpally A, Heier JS, Kim JE, Garfinkel R. Randomized trial of a home monitoring system for early detection of choroidal neovascularization home monitoring of the Eye (HOME) study. Ophthalmology. 2014 Feb;121(2):535-44. doi: 10.1016/j.ophtha.2013.10.027. Epub 2013 Nov 8.

Reference Type BACKGROUND
PMID: 24211172 (View on PubMed)

Mathew R, Sivaprasad S. Environmental Amsler test as a monitoring tool for retreatment with ranibizumab for neovascular age-related macular degeneration. Eye (Lond). 2012 Mar;26(3):389-93. doi: 10.1038/eye.2011.326. Epub 2011 Dec 16.

Reference Type BACKGROUND
PMID: 22173073 (View on PubMed)

Ai Ping Yow, Damon Wong, Huiying Liu, Hongyuan Zhu, Ivy Jing-Wen Ong, Laude A, Tock Han Lim. Automatic visual impairment detection system for age-related eye diseases through gaze analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2450-2453. doi: 10.1109/EMBC.2017.8037352.

Reference Type BACKGROUND
PMID: 29060394 (View on PubMed)

Trevino R, Kynn MG. Macular function surveillance revisited. Optometry. 2008 Jul;79(7):397-403. doi: 10.1016/j.optm.2007.09.017.

Reference Type BACKGROUND
PMID: 18577497 (View on PubMed)

Kawasaki R, Wang JJ, Aung T, Tan DT, Mitchell P, Sandar M, Saw SM, Wong TY; Singapore Malay Eye Study Group. Prevalence of age-related macular degeneration in a Malay population: the Singapore Malay Eye Study. Ophthalmology. 2008 Oct;115(10):1735-41. doi: 10.1016/j.ophtha.2008.02.012. Epub 2008 Apr 25.

Reference Type BACKGROUND
PMID: 18439679 (View on PubMed)

Brooke, John.

Reference Type BACKGROUND

Davis, Fred D.

Reference Type BACKGROUND

Other Identifiers

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2025-1535

Identifier Type: -

Identifier Source: org_study_id

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