Davis Greg
Department of Experimental Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK.
Philos Trans A Math Phys Eng Sci. 2004 Dec 15;362(1825):2741-59. doi: 10.1098/rsta.2004.1462.
Although the human retina can code many object images simultaneously, observers are often aware of only a tiny fraction of this information. These processing limitations of the visual brain have evolved to prioritize particularly relevant features of a scene while ignoring other irrelevant features. However, such selectivity has its drawbacks. In information-rich environments, such as driving a car or landing an aircraft, vision can fail to cope, and accidents can result. Accordingly, much recent research in psychophysics and ergonomics has examined how display characteristics affect our ability to process multiple features of the visual environment simultaneously. The majority of these experiments has found that performance can be optimized by combining several features into one visual 'object'. In contrast, several recent studies from my own laboratory have found the opposite pattern, indicating that information sources can often be more efficiently processed when they belong to separate objects. Indeed, these data suggest that the number of objects has no general effect on our perceptual performance. Instead, I argue for a two-pathway approach to understanding human visual capacities, and suggest that this approach may have important implications for a diverse range of display technologies, including cockpit displays.
尽管人类视网膜能够同时编码许多物体图像,但观察者通常只能意识到其中一小部分信息。视觉大脑的这些处理限制已经进化,以便在忽略其他无关特征的同时,优先处理场景中特别相关的特征。然而,这种选择性也有其缺点。在信息丰富的环境中,比如开车或驾驶飞机着陆时,视觉可能无法应对,从而导致事故。因此,最近在心理物理学和人体工程学方面的许多研究都在探讨显示特征如何影响我们同时处理视觉环境中多个特征的能力。这些实验中的大多数都发现,通过将多个特征组合成一个视觉“对象”,可以优化表现。相比之下,我自己实验室最近的几项研究发现了相反的模式,表明当信息源属于不同对象时,它们通常可以得到更有效的处理。事实上,这些数据表明对象的数量对我们的感知表现没有普遍影响。相反,我主张采用双通路方法来理解人类的视觉能力,并认为这种方法可能对包括驾驶舱显示器在内的各种显示技术具有重要意义。