Influence of background on image recognition in normal vision and age‐related macular degeneration

Bordier, Cécile; Petra, Julie; Dauxerre, C.; Vital‐Durand, François; Knoblauch, Kenneth

doi:10.1111/j.1475-1313.2011.00820.x

Cited by 10 publications

(9 citation statements)

References 55 publications

(129 reference statements)

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“…Overall, our findings support previous work suggesting that simplifying visual scenes can be helpful for people with severely impaired vision and show that this approach can be implemented in a see-through head-mounted display. 16 , 17 , 19 , 21 However, our studies indicate that the utility of the current system varies substantially as a function of task. Experiment 1 also suggests that this particular system may not be desirable in all forms of vision loss, both because visual detail from surface texture can be lost and because the resolution of the HoloLens 3D spatial mesh is limited.…”

Section: Discussionmentioning

confidence: 82%

“…The augmented reality environment has a simplified visual geometry, with high-contrast edges between objects and surfaces at different distances from the observer, which we hypothesize is more easily interpretable with impaired vision relative to the original view. 16 , 17 , 19 When using the system, the natural field of view is unrestricted, so the appearance is similar to having a window into the augmented reality environment through the HoloLens display (see above). As the user moves around the environment, the colors change to reflect the distances from the current viewpoint.…”

Section: Methodsmentioning

confidence: 99%

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Using an Augmented Reality Device as a Distance-based Vision Aid—Promise and Limitations

et al. 2018

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SIGNIFICANCEFor people with limited vision, wearable displays hold the potential to digitally enhance visual function. As these display technologies advance, it is important to understand their promise and limitations as vision aids.PURPOSEThe aim of this study was to test the potential of a consumer augmented reality (AR) device for improving the functional vision of people with near-complete vision loss.METHODSAn AR application that translates spatial information into high-contrast visual patterns was developed. Two experiments assessed the efficacy of the application to improve vision: an exploratory study with four visually impaired participants and a main controlled study with participants with simulated vision loss (n = 48). In both studies, performance was tested on a range of visual tasks (identifying the location, pose and gesture of a person, identifying objects, and moving around in an unfamiliar space). Participants' accuracy and confidence were compared on these tasks with and without augmented vision, as well as their subjective responses about ease of mobility.RESULTSIn the main study, the AR application was associated with substantially improved accuracy and confidence in object recognition (all P < .001) and to a lesser degree in gesture recognition (P < .05). There was no significant change in performance on identifying body poses or in subjective assessments of mobility, as compared with a control group.CONCLUSIONSConsumer AR devices may soon be able to support applications that improve the functional vision of users for some tasks. In our study, both artificially impaired participants and participants with near-complete vision loss performed tasks that they could not do without the AR system. Current limitations in system performance and form factor, as well as the risk of overconfidence, will need to be overcome.

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Section: Discussionmentioning

confidence: 82%

Section: Methodsmentioning

confidence: 99%

Using an Augmented Reality Device as a Distance-based Vision Aid—Promise and Limitations

et al. 2018

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“…Boucart et al 7 reported that object categorization was facilitated when objects were located on a homogeneous white background than when the same objects appeared in a scene. In the same line, Bordier et al 32 found a reduction in the spatial frequency bandwidth necessary for image identification when the background was attenuated by lowering its luminance (i.e., the background of the base image was selectively darkened by 80% of its original luminance) both for patients with AMD and for young observers. These results suggest that reduction of crowding improves categorization and identification performance in people who must rely on their peripheral vision.…”

Section: Discussionmentioning

confidence: 90%

Implicit Processing of Scene Context in Macular Degeneration

Boucart

Moroni

Szaffarczyk

et al. 2013

Invest. Ophthalmol. Vis. Sci.

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“…AMD has been shown to affect processing of high-spatial frequency scenes 64. Moreover, images have been shown to be more recognisable for AMD patients at lower spatial frequency bandwidths if the background is darkened 65. One study asking participants whether or not a real-world target was present in a scene at varying levels of contrast found task success to be strongly related to contrast level 66…”

Section: Resultsmentioning

confidence: 99%

How does age-related macular degeneration affect real-world visual ability and quality of life? A systematic review

et al. 2016

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ObjectivesTo review systematically the evidence of age-related macular degeneration (AMD) affecting real-world visual ability and quality of life (QoL). To explore trends in specific topics within this body of the literature.DesignSystematic review.MethodsA systematic literature search was carried out using MEDLINE, EMBASE, CINAHL, PsycINFO, PsychARTICLES and Health and Psychosocial Instruments for articles published up to January 2015 for studies including people diagnosed with AMD, assessing real-world visual ability or QoL as an outcome. Two researchers screened studies for eligibility. Details of eligible studies including study design, characteristics of study population and outcomes measured were recorded in a data extraction table. All included studies underwent quality appraisal using the Mixed Methods Appraisal Tool 2011 Version (MMAT).ResultsFrom 5284 studies, 123 were eligible for inclusion. A range of approaches were identified, including performance-based methods, quantitative and qualitative patient-reported outcome measures (PROMs). AMD negatively affects tasks including mobility, face recognition, perception of scenes, computer use, meal preparation, shopping, cleaning, watching TV, reading, driving and, in some cases, self-care. There is evidence for higher rates of depression among people with AMD than among community dwelling elderly. A number of adaptation strategies have been associated with AMD of varying duration. Much of the research fails to report the type of AMD studied (59% of included studies) or the duration of disease in participants (74%). Of those that do report type studied, the breakdown is as follows: wet AMD 20%, dry AMD 4% and both types 17%.ConclusionsThere are many publications highlighting the negative effects of AMD in various domains of life. Future research should focus on delivering some of this research knowledge into patient management and clinical trials and differentiating between the types of AMD.

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Influence of background on image recognition in normal vision and age‐related macular degeneration

Cited by 10 publications

References 55 publications

Using an Augmented Reality Device as a Distance-based Vision Aid—Promise and Limitations

Using an Augmented Reality Device as a Distance-based Vision Aid—Promise and Limitations

Implicit Processing of Scene Context in Macular Degeneration

How does age-related macular degeneration affect real-world visual ability and quality of life? A systematic review

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