动、静态视觉信息在真实世界视觉搜索中的作用

真实环境中的视觉搜索是人和动物赖以生存的重要能力。目前的视觉搜索研究多使用静态的观察者和静止的二维搜索对象, 侧重于探究注意在搜索中的作用; 现有的视觉搜索理论模型主要概括了影响搜索的自上而下的注意因素, 而将自下而上影响因素简单归结为影像显著性, 然而在真实环境中, 观察者或搜索对象是可以运动的, 搜索时可利用的视觉信息包括动态光流和静态影像结构信息。已有的视觉识别研究发现这两种信息相结合可以使观察者准确持久地识别场景、事件和三维结构。在现有视觉搜索理论模型中引入两种视觉信息可以较好还原真实环境中的搜索任务。我们提出研究构想和实验方案,探究利用动、静态视觉信息的视觉搜索过程, 从而完善现有的视觉搜索模型。我们认为充分利用环境信息可以提高搜索效率, 且在视觉搜索训练和智能搜索设计等方面有重要的应用价值。     

The role of priming in conjunctive visual search

To assess the role of priming in conjunctive visual search tasks, we systematically varied the consistency of the target and distractor identity between different conditions. Search was fastest in the standard conjunctive search paradigm where identities remained constant. Search was slowest when potential target identity varied predictably for each successive trial (the 'switch' condition). The role of priming was also demonstrated on a trial-by-trial basis in a 'streak' condition where target and distractor identity was unpredictable yet was consistent within streaks. When the target to be found was the same for a few trials in a row, search performance became similar to that when the potential target was the same on all trials. A similar pattern was found for the target absent trials, suggesting that priming is based on the whole search array rather than just the target in each case. Further analysis indicated that the effects of priming are sufficiently strong to account for the advantage seen for the conjunctive search task. We conclude that the role of priming in visual search is underestimated in current theories of visual search and that differences in search times often attributed to top-down guidance may instead reflect the benefits of priming.     

Analog number representations in mongoose lemurs (Eulemur mongoz): evidence from a search task

A wealth of data demonstrating that monkeys and apes represent number have been interpreted as suggesting that sensitivity to number emerged early in primate evolution, if not before. Here we examine the numerical capacities of the mongoose lemur (Eulemur mongoz), a member of the prosimian suborder of primates that split from the common ancestor of monkeys, apes and humans approximately 47–54 million years ago. Subjects observed as an experimenter sequentially placed grapes into an opaque bucket. On half of the trials the experimenter placed a subset of the grapes into a false bottom such that they were inaccessible to the lemur. The critical question was whether lemurs would spend more time searching the bucket when food should have remained in the bucket, compared to when they had retrieved all of the food. We found that the amount of time lemurs spent searching was indicative of whether grapes should have remained in the bucket, and furthermore that lemur search time reliably differentiated numerosities that differed by a 1:2 ratio, but not those that differed by a 2:3 or 3:4 ratio. Finally, two control conditions determined that lemurs represented the number of food items, and neither the odor of the grapes, nor the amount of grape (e.g., area) in the bucket. These results suggest that mongoose lemurs have numerical representations that are modulated by Webers Law.     

Latent Inhibition Depends on Inhibitory Attentional Learning to the Preexposed Stimulus: Evidence from Visual Search and Rule-Learning Tasks

Latent inhibition (LI) refers to findings of poorer learning with stimuli preexposed as irrelevant, compared to novel stimuli. In order to investigate the role of attention in traditional LI, two experiments with human subjects were conducted. Experiment 1 used a simplified visual-search design. As in previous studies, but now with a simpler design, there was a LI-like effect, thereby supporting the position that attentional learning to irrelevantly preexposed stimuli is reduced. Experiment 2 introduced conditions that were designed to exclude a potential contribution of novel popout to the visual-search LI-like effect. It was shown that the effect could be observed independently of contributions from novel popout. In addition, when participants were divided into good and poor attentional learners on the basis of visual-search LI scores, traditional rule-learning LI was established in good attentional learners, whereas it was absent in poor attentional learners. Together, these results indicate that visual-search procedures can be used to provide a measure for LI, and, as such, they support attention-based explanations of traditional LI.     

7~12岁儿童视觉搜索能力的发展

该研究主要考察7~12岁儿童视觉搜索能力的发展。实验结果表明：儿童视觉搜索能力随年龄的增长而提高,性别差异不显著;儿童对三种不同视觉刺激材料（阿拉伯数字、英文字母、汉字）的视觉搜索的反应时没有表现出明显的差异,这个结果与通常的一些实验结果不同。同时,儿童在视觉搜索过程中,判断刺激出现的反应时均明显短于判断刺激没有出现的反应时;两种判断与左右手之间存在着交互作用。     

工作记忆与选择性注意的交互关系

综述了近年来工作记忆和选择性注意交互关系的一系列研究。研究者们主要从两个方面对该领域的问题进行了探讨：（1）工作记忆在选择性注意中的作用,主要涉及工作记忆的内容在选择性注意的注意导向中的作用、在晚期反应选择中的作用以及在视觉搜索和返回抑制中的作用等方面;（2）选择性注意在工作记忆的信息维持和更新中的作用,主要涉及空间注意在空间工作记忆的复述机制中的作用、注意的分心物加工机制对工作记忆的影响以及在记忆表征中的选择性注意等方面     

The pop out of scene-relative object movement against retinal motion due to self-movement

An object that moves is spotted almost effortlessly; it "pops out". When the observer is stationary, a moving object is uniquely identified by retinal motion. This is not so when the observer is also moving; as the eye travels through space all scene objects change position relative to the eye producing a complicated field of retinal motion. Without the unique identifier of retinal motion an object moving relative to the scene should be difficult to locate. Using a search task, we investigated this proposition. Computer-rendered objects were moved and transformed in a manner consistent with movement of the observer. Despite the complex pattern of retinal motion, objects moving relative to the scene were found to pop out. We suggest the brain uses its sensitivity to optic flow to "stabilise" the scene, allowing the scene-relative movement of an object to be identified.     

Model specification search using a genetic algorithm with factor reordering for a simple structure factor analysis model

Abstract:  Many techniques for automated model specification search based on numerical indices have been proposed, but no single decisive method has yet been determined. In the present article, the performance and features of the model specification search method using a genetic algorithm (GA) were verified. A GA is a robust and simple metaheuristic algorithm with great searching power. While there has already been some research applying metaheuristics to the model fitting task, we focus here on the search for a simple structure factor analysis model and propose a customized algorithm for dealing with certain problems specific to that situation. First, implementation of model specification search using a GA with factor reordering for a simple structure factor analysis is proposed. Then, through a simulation study using generated data with a known true structure and through example analysis using real data, the effectiveness and applicability of the proposed method were demonstrated.     

Mapping the color space of saccadic selectivity in visual search

Color coding is used to guide attention in computer displays for such critical tasks as baggage screening or air traffic control. It has been shown that a display object attracts more attention if its color is more similar to the color for which one is searching. However, what does similar precisely mean? Can we predict the amount of attention that a display color will receive during a search for a given target color? To tackle this question, two color‐search experiments measuring the selectivity of saccadic eye movements and mapping out its underlying color space were conducted. A variety of mathematical models, predicting saccadic selectivity for given target and display colors, were devised and evaluated. The results suggest that applying a Gaussian function to a weighted Euclidean distance in a slightly modified HSI color space is the best predictor of saccadic selectivity in the chosen paradigm. Hue and intensity information by itself provides a basis for useful predictors, spanning a possibly spherical color space of saccadic selectivity. Although the current models cannot predict saccadic selectivity values for a wide variety of visual search tasks, they reveal some characteristics of color search that are of both theoretical and applied interest, such as for the design of human–computer interfaces.     

视觉搜索过程中的眼跳及其机制

该文对视觉搜索过程中的眼跳及其时间进程、神经机制及相关的理论与模型等方面研究进行了回顾。发现内外源性眼跳得到了研究者的普遍关注,对眼运动记忆、返回抑制及眼跳时间进程的研究尚存在分歧。关于眼跳的神经机制,额叶眼动区与上丘分别被认为是眼跳的关键区与指令发出者。尽管不同的眼跳理论与模型对眼跳现象给出了各自的解释,但都不尽完善,尚需对这些理论进行整合或者提出新的解释模型。文章还对未来的研究进行了展望