Influence mechanism of icon semantics on visual search performance: Evidence from an eye-tracking study

偶像 视觉搜索 固定(群体遗传学) 语义学(计算机科学) 眼动 计算机科学 眼球运动 情报检索 自然语言处理 人机交互 人工智能 程序设计语言 社会学 人口学 人口
作者
Tao Jin,Wenrui Wang,Jiamin He,Zhengxin Wu,Haoran Gu
出处
期刊:International Journal of Industrial Ergonomics [Elsevier]
卷期号:93: 103402-103402 被引量:3
标识
DOI:10.1016/j.ergon.2022.103402
摘要

Explicit icon semantics can reduce the difficulty of understanding complex visual information. Optimizing the icon semantics and text semantics of icons can effectively improve the cognitive performance of digital interfaces. This paper adopts visual search tasks to study the effects of different combinations of icon semantic familiarity and the presence or absence of text on icon search performance under horizontal and vertical layouts. The behavioral experiment results show that under two layouts: 1. The main effect of icon semantics is significant, and the search performance increases with the increase of semantic familiarity. 2. The main effect of text is significant, and the search performance is negatively correlated with the addition of text. The eye movement experiment found that the semantic familiarity of icons had a significant impact on average fixation time. Furthermore, the number of fixation points changed significantly after the text variable was added. Therefore, there was no significant difference in the number of fixation points in the horizontal layout, and icon semantics was the main influencing factor in visual search. In the vertical layout, there was no significant difference in average fixation time, and text was the main influencing factor of visual search. The results show that the semantic familiarity of icons and different combinations with or without text significantly affect visual search performance in horizontal and vertical layouts. This paper provides a theoretical reference for the combination of icons and text in interface design.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
Hello应助西西采纳,获得10
1秒前
1秒前
老地方发布了新的文献求助10
1秒前
2秒前
3秒前
科研通AI6应助phil采纳,获得10
3秒前
自由的蒜苗完成签到,获得积分10
4秒前
6秒前
gggghhhh发布了新的文献求助10
6秒前
meng驳回了英姑应助
7秒前
7秒前
Lucas应助淡然的如天采纳,获得10
7秒前
7秒前
zxx完成签到,获得积分20
7秒前
8秒前
赘婿应助自由的蒜苗采纳,获得10
8秒前
王卫完成签到,获得积分10
8秒前
贾克斯完成签到,获得积分20
9秒前
科研加油发布了新的文献求助10
11秒前
lg完成签到,获得积分10
11秒前
12秒前
12秒前
lumos发布了新的文献求助10
13秒前
领导范儿应助贾克斯采纳,获得10
13秒前
飞天817完成签到,获得积分10
14秒前
居居侠发布了新的文献求助10
14秒前
yuan完成签到,获得积分10
15秒前
jky45发布了新的文献求助10
16秒前
16秒前
碧蓝翅膀完成签到 ,获得积分10
17秒前
17秒前
17秒前
心语完成签到 ,获得积分10
18秒前
19秒前
Lamb完成签到,获得积分10
20秒前
lg发布了新的文献求助10
22秒前
22秒前
英俊的铭应助科研通管家采纳,获得20
22秒前
Thaurissan应助科研通管家采纳,获得10
22秒前
土土完成签到 ,获得积分10
22秒前
高分求助中
List of 1,091 Public Pension Profiles by Region 1541
The Jasper Project 800
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5499570
求助须知:如何正确求助?哪些是违规求助? 4596391
关于积分的说明 14454281
捐赠科研通 4529548
什么是DOI,文献DOI怎么找? 2482060
邀请新用户注册赠送积分活动 1466041
关于科研通互助平台的介绍 1438891