• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

一种新型的图像数据库：双色情感剪影和形状数据库（BASS）。

A new type of pictorial database: The Bicolor Affective Silhouettes and Shapes (BASS).

机构信息

Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria.

Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria.

出版信息

Behav Res Methods. 2021 Dec;53(6):2558-2575. doi: 10.3758/s13428-021-01569-7. Epub 2021 May 7.

DOI:10.3758/s13428-021-01569-7
PMID:33963497
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8613164/
Abstract

We introduce the Bicolor Affective Silhouettes and Shapes (BASS): a set of 583 normed black-and-white silhouette images that is freely available via https://osf.io/anej6/ . Valence and arousal ratings were obtained for each image from US residents as a Western population (n = 777) and Chinese residents as an Asian population (n = 869). Importantly, the ratings demonstrate that, notwithstanding their visual simplicity, the images represent a wide range of affective content (from very negative to very positive, and from very calm to very intense). In addition, speaking to their cultural neutrality, the valence ratings correlated very highly between US and Chinese ratings. Arousal ratings were less consistent between the two samples, with larger discrepancies in the older age groups inviting further investigation. Due to their simplistic and abstract nature, our silhouette images may be useful for intercultural studies, color and shape perception research, and online stimulus presentation in particular. We demonstrate the versatility of the BASS by an example online experiment.

摘要

我们介绍双色情感剪影和形状（BASS）：这是一组 583 个经过标准化的黑白剪影图像，可以通过 https://osf.io/anej6/ 免费获取。我们从美国居民（n=777）和中国居民（n=869）作为西方人口和亚洲人口，为每个图像获得了效价和唤醒度评分。重要的是，这些评分表明，尽管这些图像的视觉很简单，但它们代表了广泛的情感内容（从非常消极到非常积极，从非常平静到非常强烈）。此外，鉴于其文化中立性，美国和中国的评分之间的效价评分非常高相关。在两个样本之间，唤醒度评分的一致性较差，在年龄较大的群体中差异较大，需要进一步研究。由于其简单和抽象的性质，我们的剪影图像可能对跨文化研究、颜色和形状感知研究以及特别是在线刺激呈现有用。我们通过一个在线实验示例展示了 BASS 的多功能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/fabd0f511c31/13428_2021_1569_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/f01051885d9b/13428_2021_1569_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/9e3691688621/13428_2021_1569_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/9ec0e502d9fc/13428_2021_1569_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/a223099109c5/13428_2021_1569_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/2c4643c9a0b1/13428_2021_1569_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/902e322a0785/13428_2021_1569_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/6aa6ae80b1ad/13428_2021_1569_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/854ecf729c4a/13428_2021_1569_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/57c44e0833e5/13428_2021_1569_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/b9550ee40942/13428_2021_1569_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/df794c31452e/13428_2021_1569_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/ef2b44ad31ae/13428_2021_1569_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/4a43fe099400/13428_2021_1569_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/68f012479774/13428_2021_1569_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/fabd0f511c31/13428_2021_1569_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/f01051885d9b/13428_2021_1569_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/9e3691688621/13428_2021_1569_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/9ec0e502d9fc/13428_2021_1569_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/a223099109c5/13428_2021_1569_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/2c4643c9a0b1/13428_2021_1569_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/902e322a0785/13428_2021_1569_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/6aa6ae80b1ad/13428_2021_1569_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/854ecf729c4a/13428_2021_1569_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/57c44e0833e5/13428_2021_1569_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/b9550ee40942/13428_2021_1569_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/df794c31452e/13428_2021_1569_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/ef2b44ad31ae/13428_2021_1569_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/4a43fe099400/13428_2021_1569_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/68f012479774/13428_2021_1569_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6017/8613164/fabd0f511c31/13428_2021_1569_Fig15_HTML.jpg

相似文献

1
A new type of pictorial database: The Bicolor Affective Silhouettes and Shapes (BASS).一种新型的图像数据库：双色情感剪影和形状数据库（BASS）。
Behav Res Methods. 2021 Dec;53(6):2558-2575. doi: 10.3758/s13428-021-01569-7. Epub 2021 May 7.
2
Introducing the Open Affective Standardized Image Set (OASIS).介绍开放式情感标准化图像集（OASIS）。
Behav Res Methods. 2017 Apr;49(2):457-470. doi: 10.3758/s13428-016-0715-3.
3
EmojiGrid: A 2D pictorial scale for cross-cultural emotion assessment of negatively and positively valenced food.EmojiGrid：一种用于评估负面和正面情绪食物的跨文化情感的二维图像量表。
Food Res Int. 2019 Jan;115:541-551. doi: 10.1016/j.foodres.2018.09.049. Epub 2018 Oct 3.
4
Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words.1100个中文词汇的效价、唤醒度、具体性、熟悉度、可想象性和语境可用性规范
Behav Res Methods. 2017 Aug;49(4):1374-1385. doi: 10.3758/s13428-016-0793-2.
5
Spanish affective normative data for 1,406 words rated by children and adolescents (SANDchild).西班牙语情感规范数据，由儿童和青少年（SANDchild）对 1406 个单词进行评定。
Behav Res Methods. 2020 Oct;52(5):1939-1950. doi: 10.3758/s13428-020-01377-5.
6
Emotional Prototypicality Ratings for 636 Chinese Words: A Database of Chinese Words with Affective Information.636 个中文词汇的情绪原型性评价：含情感信息的中文词汇数据库。
J Psycholinguist Res. 2023 Dec;52(6):2775-2792. doi: 10.1007/s10936-023-10018-9. Epub 2023 Sep 22.
7
Investigating the roles of age, sex, depression, and anxiety for valence and arousal ratings of words: a population-based study.调查年龄、性别、抑郁和焦虑对词语效价和唤醒度评价的作用：一项基于人群的研究。
BMC Psychol. 2020 Nov 7;8(1):118. doi: 10.1186/s40359-020-00485-3.
8
Valence and arousal ratings for 11,310 simplified Chinese words.11310 个简体中文字的效价和唤醒度评分。
Behav Res Methods. 2022 Feb;54(1):26-41. doi: 10.3758/s13428-021-01607-4. Epub 2021 Jun 7.
9
CROCUFID: A Cross-Cultural Food Image Database for Research on Food Elicited Affective Responses.CROCUFID：一个用于研究食物引发情感反应的跨文化食物图像数据库。
Front Psychol. 2019 Jan 25;10:58. doi: 10.3389/fpsyg.2019.00058. eCollection 2019.
10
Affective Ratings of Pictures Related to Interpersonal Situations.与人际情境相关图片的情感评分。
Front Psychol. 2021 Feb 5;12:627849. doi: 10.3389/fpsyg.2021.627849. eCollection 2021.

引用本文的文献

1
The good, the bad, and the red: implicit color-valence associations across cultures.好的、坏的和红色的：跨文化的内隐颜色-情感联想。
Psychol Res. 2023 Apr;87(3):704-724. doi: 10.1007/s00426-022-01697-5. Epub 2022 Jul 15.
2
ISIEA: An image database of social inclusion and exclusion in young Asian adults.ISIEA：亚洲青年社会包容与排斥图像数据库。
Behav Res Methods. 2022 Oct;54(5):2409-2421. doi: 10.3758/s13428-021-01736-w. Epub 2021 Dec 16.

本文引用的文献

1
Polarities influence implicit associations between colour and emotion.极性会影响颜色和情绪之间的内隐联想。
Acta Psychol (Amst). 2020 Sep;209:103143. doi: 10.1016/j.actpsy.2020.103143. Epub 2020 Jul 28.
2
Attention in Psychology, Neuroscience, and Machine Learning.心理学、神经科学和机器学习中的注意力
Front Comput Neurosci. 2020 Apr 16;14:29. doi: 10.3389/fncom.2020.00029. eCollection 2020.
3
Best practices: Two Web-browser-based methods for stimulus presentation in behavioral experiments with high-resolution timing requirements.
最佳实践：两种基于网络浏览器的刺激呈现方法，用于具有高分辨率时间要求的行为实验。
Behav Res Methods. 2019 Jun;51(3):1441-1453. doi: 10.3758/s13428-018-1126-4.
4
Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.大规模、高分辨率的人类、猴子和最先进的深度人工神经网络核心视觉对象识别行为比较。
J Neurosci. 2018 Aug 15;38(33):7255-7269. doi: 10.1523/JNEUROSCI.0388-18.2018. Epub 2018 Jul 13.
5
Color and emotion: effects of hue, saturation, and brightness.颜色与情感：色调、饱和度和亮度的影响
Psychol Res. 2018 Sep;82(5):896-914. doi: 10.1007/s00426-017-0880-8. Epub 2017 Jun 13.
6
Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words.1100个中文词汇的效价、唤醒度、具体性、熟悉度、可想象性和语境可用性规范
Behav Res Methods. 2017 Aug;49(4):1374-1385. doi: 10.3758/s13428-016-0793-2.
7
The pitfall of experimenting on the web: How unattended selective attrition leads to surprising (yet false) research conclusions.在网络上进行实验的陷阱：无人关注的选择性损耗如何导致令人惊讶（但错误）的研究结论。
J Pers Soc Psychol. 2016 Oct;111(4):493-504. doi: 10.1037/pspa0000056. Epub 2016 Jun 13.
8
Applicability of the International Affective Picture System in Chinese older adults: A validation study.国际情感图片系统在中国老年人中的适用性：一项验证研究。
Psych J. 2016 Jun;5(2):117-24. doi: 10.1002/pchj.131.
9
Introducing the Open Affective Standardized Image Set (OASIS).介绍开放式情感标准化图像集（OASIS）。
Behav Res Methods. 2017 Apr;49(2):457-470. doi: 10.3758/s13428-016-0715-3.
10
Emotional Valence, Arousal, and Threat Ratings of 160 Chinese Words among Adolescents.青少年对160个中文词汇的情绪效价、唤醒度及威胁评级
PLoS One. 2015 Jul 30;10(7):e0132294. doi: 10.1371/journal.pone.0132294. eCollection 2015.