JoVE Science Education
Cognitive Psychology
A subscription to JoVE is required to view this content.  Sign in or start your free trial.
JoVE Science Education Cognitive Psychology
Visual Search for Features and Conjunctions
  • 00:00Overview
  • 00:40Stimulus Design
  • 02:13Conducting the Study
  • 03:04Analysis and Results
  • 04:12Applications
  • 05:05Summary

视觉搜索功能和连词

English

Share

Overview

资料来源: 实验室的乔纳森 Flombaum — — 约翰 · 霍普金斯大学

人们如何在杂乱的视觉场景中找到对象?认为,例如,找钥匙上凌乱的办公桌、 在杂货店里找到最成熟的水果、 定位你的车,当你已经不太记得你所停车的地方,或在机场出口门口发现一位老朋友。显然,视觉感知理解要在任何答案,发挥的作用,更具体地说,视觉注意理解将至关重要。

视觉注意是指把焦点集中在图像的只是一部分的能力,纠集着一个的处理资源,有选择性地确定是否事情正在寻找 — — 目标,在标准试验术语 — — 是本。为了研究搜索和注意,实验心理学家们发展 (毫不奇怪) 称为视觉搜索广泛研究范式。

心理学家也有出于直觉,任何好的搜索理论将不得不解释为什么有些东西很容易就可以找到和其他人很难找到了大量的研究。所以在视觉搜索范式中,知觉心理学家往往集中在对比容易搜索与更困难的人。最有影响力的对比是研究人员所谓的特征搜索和联合搜索之间。

Procedure

1.刺激设计 实验包括两种类型的试验。在一半的审判 — — 功能搜索试验 — — 参与者将会被要求找到一条红色的蓝色的之间。所以呈现 40 显示,在每个,随机放置红色栏和随机放置 3、 6、 9 或 12 蓝色酒吧以及一套。蓝色条形的数目是牵张器负载。会有同等数量的每个负载试验 (在本例中 10)。 实验还要求缺席审判,不包括搜索目标,在这种情况下的试验,红栏目标。其中,以?…

Results

Note that response times in feature search trials are relatively unaffected by distractor load (Figure 3). In contrast, conjunction search response times increase linearly. In fact, the slope of that function describes the amount of extra search time it takes, on average, for each additional distractor in the scene. In this case, it looks like about 50 ms per item. Similarly, both searches take about 200 ms with only three distractors present. This suggests that a uniform amount of time is necessary to get a search going and make a response.

The difference between feature and conjunction search suggests how one of the challenges faced by the human visual system involves putting different kinds of information together. Finding a red bar amongst all blue ones is easy—it pops out—because only one kind of information is relevant: color. But finding something that is defined by multiple different kinds of features—in this case, orientation and color—needs focused attention to help bind those features together.

Figure 3
Figure 3: Response times as a function of distractor load in target present trials. Feature search and conjunction search conditions are shown in green circles and yellow triangles, respectively.

Applications and Summary

In the real world, understanding how visual search works has many important applications. For example, major research programs are currently applying an understanding of visual search in the laboratory to understand and improve how doctors search for certain telltale signatures when they look at an x-ray or MRI scan. Similar research programs look at how TSA personnel search through scans of passenger baggage at the airport, and even how athletes locate their teammates on a field.

Transcript

Visual attention refers to the ability to focus in on just a part of an image. To study how people attend to objects in cluttered visual scenes, psychologists use a paradigm known as visual search.

Often, visual search experiments can help researchers explain why some objects are easy to find and others more difficult.

Using the visual search paradigm, this video will demonstrate how to design and identify stimuli for experiments, as well as perform, analyze, and interpret results.

To design the stimuli, compose a pair of conditions that are very similar in terms of display contents, but vary in terms of search difficulty. Consider the classic contrasting example between ‘Feature Search’ and ‘Conjunction Search.’

In the Feature Search condition, design trials in which a single feature distinguishes a target amongst its neighbours, known as the distractors. Here, the target is a red bar, and all the distractors are blue bars. The participant should efficiently find the target, as it “pops out” quickly, even when the distractor load increases from three, six, nine, or 12 blue bars.

In the Conjunction Search condition, design trials in which the target shares similarities with distractors. Here, a red target bar is oriented at -45°, and both red and blue distractors are oriented at +45°. In this case, the participant should find the search more difficult because the similarities don’t provide a “pop out” effect.

Within each search condition, create two sets of 40 trials where the target is present or absent. Make sure to include 10 trials with each distractor load of three, six, nine, or 12 bars. Randomly interleave all trials to guarantee unpredictable sequences for each search type.

To begin the experiment, start by running the Feature Search and Conjunction Search tasks. Use a counterbalanced design, so that some participants will begin with Feature Search, whereas others will complete Conjunction Search first.

With the participant sitting at the computer, assign the ‘M’ key to represent target present responses, and the ‘Z’ key for target absent responses. Indicate to the participant that he or she should press the respective keys to complete each trial as quickly as possible, trying not to make mistakes.

During each trial, capture whether the participant’s response was correct or incorrect, as well as the response time. Output the results into a spreadsheet.

After the participant has completed both search types, examine the overall performance for the target absent trials to make sure the participant was paying attention. Exclude any participant who performs less than 75% correct on these trials.

Once criterion performance has been verified, average together each participant’s response times for all of the target present trials, as a function of search condition (Feature vs. Conjunction) and distractor load.

The data are then graphed by plotting the mean response times across distractor loads for the feature and conjunction search conditions. The response times for the Feature Search task are relatively unaffected by distractor load. In contrast, Conjunction Search response times increase linearly with distractor load. In addition, both searches take about 200 ms with the minimal of three distractors present. This suggests that a uniform amount of time is necessary to start searching and make a response.

Now that you are familiar with setting up a visual search experiment, you can apply this approach to answer more specific research questions.

One of the main challenges faced by our visual system involves the complex integration of multiple visual features. Finding a red bar among all blue ones is easy because only color information is relevant.

However, when finding an object that has several different features, such as orientation and color, more attention must be used to bind those features together.

For example, researchers apply visual search properties to improve how physicians search for certain telltale signs when they look at an x-ray or MRI scan.

In addition, the visual search approach affects how TSA personnel search through scans of passenger baggage at the airport.

You’ve just watched JoVE’s introduction on conducting a visual search experiment. Now you should have a good understanding of how to make visual search stimuli for two different types of visual search conditions, how to conduct the experiment, and finally how to analyze and interpret the results.

You should also have an idea about the type of attention that is required when you are looking for keys on a messy desk or finding the ripest-looking fruit at the grocery store.

Thanks for watching!

Tags

Cite This
JoVE Science Education Database. JoVE Science Education. Visual Search for Features and Conjunctions. JoVE, Cambridge, MA, (2023).