The integration of parallel and serial processing mechanisms in visual search: evidence from eye movement recording

作者
Claudio Maioli,Irene Benaglio,Simona Siri,Katiuscia Sosta,Stefano F. Cappa
出处
期刊:European Journal of Neuroscience [Wiley]
卷期号:13 (2): 364-372 被引量:46
标识
DOI:10.1046/j.1460-9568.2001.01381.x
摘要

We examined timing and scanning paths of eye movements during a visual search task, in which subjects had to detect, as quickly as possible, the presence or absence of a target among distractors [Q-like element among O stimuli (QvsO) and vice-versa (OvsQ)]. According to an influential theory [Treisman, A. & Gelade, G. (1980) Cognitive Psychol, 12, 97--136; Treisman, A. & Sato, S. (1990) J. Exp. Psychol. Hum. Percept. Perform., 16, 459--478], only tasks yielding nonflat search functions (OvsQ) involve focal attention. Alternative models propose that all kinds of visual search are resolved by a biased competitive process, working in parallel across the visual field. Data show that QvsO and OvsQ tasks are characterized by quantitative rather than by qualitative differences in search strategy. No differences between the two tasks were found regarding either the percentage of saccades foveating single stimulus items or the timing of the button response with respect to the onset of the last foveation saccade within a trial. Furthermore, the number of saccades made during search predicted very accurately the time required to accomplish the task and fixation times were independent of the number of stimulus items. On the basis of our results there is no reason to postulate the occurrence of shifts of visuospatial attention, other than those associated with the executions of saccadic eye movements, which are driven by a parallel feature analysis of the visual scene, in both types of search tasks. A time-limited competitive model for attentive target identification, in which both parallel (competitive) and serial (attentive) processing mechanisms are integrated, can account for these findings, providing a unified conceptual framework for all kinds of visual search.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CipherSage应助amen采纳,获得10
刚刚
坚定的若枫完成签到,获得积分10
1秒前
Vincent完成签到 ,获得积分10
1秒前
1秒前
2秒前
3秒前
3秒前
田様应助fengdengjin采纳,获得10
3秒前
幽默钥匙完成签到 ,获得积分10
3秒前
彭心瑶发布了新的文献求助10
3秒前
molihuakai应助abys采纳,获得10
4秒前
情怀应助友好的天奇采纳,获得10
4秒前
香蕉觅云应助正在通话中采纳,获得10
4秒前
6秒前
共产主义战士应助皮皮采纳,获得10
6秒前
Akim应助聪慧的灭男采纳,获得10
7秒前
7秒前
自信诗桃发布了新的文献求助10
8秒前
小Q发布了新的文献求助10
9秒前
jerkran发布了新的文献求助30
10秒前
10秒前
11秒前
11秒前
11秒前
不爱吃西瓜完成签到,获得积分10
12秒前
臭妹妹发布了新的文献求助10
12秒前
蓝莓完成签到,获得积分10
12秒前
aspen2发布了新的文献求助10
12秒前
虚幻的便当完成签到,获得积分10
13秒前
Alex应助郭泓嵩采纳,获得50
13秒前
13秒前
chen完成签到 ,获得积分20
13秒前
希望天下0贩的0应助興崋采纳,获得10
14秒前
15秒前
15秒前
天庚地寅完成签到,获得积分10
16秒前
DW应助皮皮采纳,获得10
16秒前
科研通AI6.2应助Huang2317采纳,获得10
16秒前
Shelley发布了新的文献求助10
17秒前
jzyyn发布了新的文献求助10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764930
求助须知:如何正确求助?哪些是违规求助? 9309276
关于积分的说明 20310300
捐赠科研通 7349772
什么是DOI,文献DOI怎么找? 3314706
关于科研通互助平台的介绍 2464087
邀请新用户注册赠送积分活动 2329101