Kinetic visual acuity is correlated with functional visual acuity at higher speeds

Abstract

ObjectiveTo measure the kinetic visual acuity (KVA) which is the ability to identify approaching objects and the functional visual acuity (FVA) which is continuous VA during 1 min under binocular and monocular condition (non-dominant eye shielding) for healthy subjects, and related ocular parameters to explore their correlation and implication in aspect of integrated visual function.MethodsThe mean age of the 28 participants was 38.6±8.9 years (range, 23–57 years; 6 women). A KVA metre (AS-4Fα) and FVA metre (AS-28) were used to measure KVA and FVA, respectively. Multiple regression analysis was conducted to explore correlations among the measured visual function and related parameters, including age, binocularity, best-corrected visual acuity, refraction and tear break-up time.ResultsThe results of binocular KVA were better than monocular KVA at all speeds. A strong correlation was found between monocular and binocular KVA. The results of binocular FVA were better than monocular FVA (p<0.001) and there was a correlation between monocular and binocular FVA (R=0.638, p<0.001), as well as the maintenance rate for FVA (R=0.228, p=0.003). A linear mixed-effects model revealed that binocularity for KVA prediction was significant at all speeds and FVA was also significant at 60 km/h (p<0.05).ConclusionThe current results suggest that both binocularity and FVA may contribute to KVA.Trial registration numberUMIN00032385

Analysis of visual risk perception model for braking control behaviour of human drivers: A literature review

“…Human observers can perceive potential collisions based on state information from the environment. However, because of Driving experience Estimation accuracy decreased with an increase in driving experience [69,86,87,89] Monocular versus binocular Binocular vision was better than monocular vision [93,94,95,96] Object characteristics Size features Estimation accuracy for larger objects was higher than for smaller objects [98] Textural features Controversial [99,100] differences in individual characteristics, the risk perception level differs across human observers. Driver characteristics include age, gender, driving experience, and monocular versus binocular vision, as listed in Table 4.…”

“…Nevertheless, human observers could only judge the TTCT of larger objects accurately using monocular information. In relation to speed estimation accuracy, Iehisa et al [95] found that the ability to judge approaching objects using binocular vision is better than that using monocular vision at various speeds. Furthermore, the perceived difference in the vision condition also affected the reaction time.…”

Effect of Photochromic Contact Lens Wear on Indoor Visual Performance and Patient Satisfaction

“…We measured the KVA using a kinetic visual acuity meter (AS-4Fa, Kowa, Aichi, Japan) with the best spectacle correction, as described previously [13,14]. In brief, the participants were instructed to look through the measuring window.…”

Developing dynamic defocus curve for evaluating dynamic vision accommodative function

“…However, as the distances of observing moving targets in real life vary constantly, DVATs with a fixed distance may only yield limited information on dynamic visual function. Kinetic visual acuity tests can be used to assess the ability to identify visual targets approaching from a distant place [ 12 , 13 ]. Due to the coupling of accommodation and convergence, an approaching optotype fails to accurately reveal the dynamic vision accommodation, and the readability changes as the optotypes approach during the test.…”