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Title:Face recognition characteristics in patients with age-related macular degeneration determined using a virtual reality headset with eye tracking
Authors:ID Žugelj, Nina (Author)
ID Peterlin, Lara (Author)
ID Muznik, Urša (Author)
ID Klobučar, Pia (Author)
ID Jaki Mekjavić, Polona (Author)
ID Vidović Valentinčič, Nataša (Author)
ID Fakin, Ana (Author)
Files:.pdf PDF - Presentation file, download (3,72 MB)
MD5: 4BF175332B1161A027011A0E339D2FFA
 
URL URL - Source URL, visit https://www.mdpi.com/2077-0383/13/2/636
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:Background and objectives: Face recognition is one of the most serious disabilities of patients with age-related macular degeneration (AMD). Our purpose was to study face recognition using a novel method incorporating virtual reality (VR) and eye tracking. Materials and methods: Eighteen patients with AMD (seven male; median age 83 years; 89% with bilateral advanced AMD) and nineteen healthy controls (five male; median age 68 years) underwent the face recognition test IC FACES (Synthesius, Ljubljna, Slovenia) on a VR headset with built-in eye tracking sensors. Analysis included recognition accuracy, recognition time and fixation patterns. Additionally, a screening test for dementia and imaging with fundus autofluorescence and optical coherence tomography was performed. Results: AMD patients had significantly lower face recognition accuracy (42% vs. 92%; p < 0.001) and longer recognition time (median 4.0 vs. 2.0 s; p < 0.001) in comparison to controls. Both parameters were significantly worse in patients with lower visual acuity. In both groups, eye-tracking data revealed the two classical characteristics of the face recognition process, i.e., fixations clustering mainly in the nose-eyes-mouth triangle and starting observation in the nasal area. Conclusions: The study demonstrates usability of a VR headset with eye tracking for studying visual perception in real-world situations which could be applicable in the design of clinical studies.
Keywords:AMD, eye tracking, face recognition, fixation, heatmap, virtual reality
Publication status:Published
Publication version:Version of Record
Year of publishing:2024
Number of pages:str. 1-16
Numbering:Vol. 13, iss. 2, [article no.] 636
PID:20.500.12556/DiRROS-30002 New window
UDC:617.7
ISSN on article:2077-0383
DOI:10.3390/jcm13020636 New window
COBISS.SI-ID:185697795 New window
Note: Nasl. z nasl. zaslona; Opis vira z dne 16. 2. 2024;
Publication date in DiRROS:11.06.2026
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Downloads:178
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Record is a part of a journal

Title:Journal of clinical medicine
Shortened title:J. clin. med.
Publisher:MDPI
ISSN:2077-0383
COBISS.SI-ID:5405759 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-1750-2019
Name:Priprava pogojev za gensko zdravljenje dednih očesnih bolezni

Funder:Other - Other funder or multiple funders
Funding programme:Univerzitetni klinični center Ljubljana
Project number:20220038
Name:Razvoj Laboratorija za navidezno resničnost

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:sledenje očem, prepoznavanje obraza, fiksacija, toplotni zemljevid, navidezna resničnost


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