中国老年人面孔表情图片库——有效性及信度评估
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- 英文论文题名：A database of facial expressions in older Chinese people:validity and reliability
- 论文作者：许贵芳 ; 韩布新
- 英文论文作者：Guifang Xu ; Buxin Han ; Key lab of Mental Health ; Chinese Academy of Science
- 年：2015
- 作者机构：中国科学院心理研究所心理健康院重点实验室;
- 论文关键词：面孔表情 ; 数据库 ; 效度 ; 信度 ; 同龄偏好
- 英文论文关键词：facial expression ; database ; validity ; reliability ; own age bias
- 会议召开时间：2015-10-16
- 会议录名称：第十八届全国心理学学术会议摘要集——心理学与社会发展
- 英文会议录名称：Proceedings of the 18th National Academic Congress of Psychology
- 语种：中文
- 分类号：B842.6
- 学会代码：ZGXG
- 会议名称：第十八届全国心理学学术会议
- 会议地点：中国天津
- 主办单位：中国心理学会
- 学会名称：中国心理学会
- 页数：2
- 文件大小：785k
- 原文格式：D
- 会议级别：全国
摘要
面孔情绪传递了我们与互动对象情绪状态的重要信息,很多研究领域都需要采用面孔情绪刺激,包括知觉、注意、记忆、社会推理、情绪及毕生发展。考察面孔情绪加工年龄差异的研究越来越多,除了观察者的年龄会影响面孔情绪的加工,观察者和面孔表演者年龄的一致也会影响情绪的加工,这就是面孔加工中的同龄偏好(own age bias,OAB)。中国采用的面孔表情图片主要为Wang和Markham(1999)年建立的面孔表情图库以及龚栩等人(2011)修订的中国化面孔情绪图片系统(Chinese Facial Affective Picture System),这两个图库采用的模特均为年轻人。随着我国人口的高速老龄化,老年心理学研究越来越多。本研究旨在建立一个老年人面孔情绪图片库,以满足这一迫在眉睫的需求。76名老年人(41名女性,MM=72.0岁,SD=6.3,MM=73.5岁,SD=7.5岁,年龄跨度为61-91岁)参加了六种基本表情(高兴、愤怒、悲伤、厌恶、恐惧、惊讶)和自然无表情的拍摄,经过初选,共选出578幅图片。20名年轻人(10名女性。M=23.1岁,SD=1.7,年龄跨度为20-26岁),以及20名老年人(11名女性。M=71.0岁,SD=5.1,年龄跨度为64-79)先后两次(间隔4周)评估这些面孔表情图片,通过两次的数据结果来计算所选图片的效度和信度。共选出252幅评估一致性较高的图片,其中愤怒30幅(18名女性),高兴76幅(女性41名),悲伤47幅(26名女性),厌恶35幅(24名女性),恐惧27幅(12名女性),惊讶47幅(29名女性),无表情67幅(37名女性)。老年人第一次对高兴、愤怒、悲伤、厌恶、恐惧、惊讶、无表情的评估正确百分比分别为:0.97,0.80,0.69,0.52,0.75,0.86,0.70,年轻人对这七种表情的评估正确百分比分别为:0.99,0.66,0.75,0.59,0.69,0.81,0.73;表明所选图片有较好的效度;老年人第二次对七种表情评估的正确百分比分别为:0.98,0.81,0.73,0.51,0.66,0.81,0.66,年轻人第二次的正确百分比分别为:0.98,0.65,0.79,0.60,0.61,0.85,0.70;两次评估之间的一致性较高,表明所选图片有较高的信度。本研究建立的中国老年人面孔表情图片库可以为情绪、认知、动机等领域的毕生发展或跨文化对照研究提供刺激材料。
Facial emotion carries important information about the emotional state of the people we interact with. Many research areas need to adopt face emotional stimuli, including perception, attention, memory, social reasoning, emotional and life span development. There are more and more studies on the age differences of facial emotion processing. Not only does the observer's age affect facial emotion processing, but also the consistency of the age of the viewer with the performer will affect the processing of facial emotion, which is called the own age bias(OAB) for face processing. There are two datasets of facial expression for Chinese: the facial expression library(Wang & Markman, 1999) and Chinese facial affective picture system(Gong et al., 2011). The models of these two datasets were young people. With the rapid aging of population in China, the research interest on elderly psychology is increasing. In order to meet the urgent need, the purpose of this study is to establish a dataset of facial expression for Chinese elder adults. Totally 76 older people(41 women, M=72.7 years, SD=6.9, age range 61-91) participated in the snap-shotting and displaying six basic expressions(happiness, anger, sadness, disgust, fear, surprise) and natural expression, after the preliminary selection of the images, a total of 578 images were chosen for the face rating task. 20 young men(10 women, M=23.1 years, SD=1.7, age range 20-26) and 20 older adults(11 women. M=71.0 years, SD=5.1, age range 64-79) evaluated these facial expression images twice(interval of 4 weeks) to get the validity and reliability scores. Based on the proportion of correct score, a total of 252 images were selected in the final dataset, including 30 angry expressions(18 women), 76 happy expression(41 women), 47 sad expressions(26 women), 35 disgust expressions(24 women), 26 fear expressions(12 women), 47 surprise(29 women) and 67 natural(37 women). The proportion of correct scores for the first time were: 0.97, 0.80, 0.69, 0.52, 0.75, 0.86, 0.70 for old people and 0.99, 0.66, 0.75, 0.59, 0.69, 0.81, 0.73 for young people, indicating that the selected pictures have good validity; The proportion of correct scores for the second time were: 0.98, 0.81, 0.73, 0.51, 0.66, 0.81, 0.66 and 0.98, 0.65, 0.79, 0.60, 0.61, 0.85, 0.70 for old people and young people, respectively. The proportion of correct scores shows high consistency between the two assessments, indicating high reliability of these pictures. This study established the Chinese elderly facial expression gallery, which can provide proper stimuli for studies on emotion, cognition, motivation, and its life span development and cross culture comparisons.
Facial emotion carries important information about the emotional state of the people we interact with. Many research areas need to adopt face emotional stimuli, including perception, attention, memory, social reasoning, emotional and life span development. There are more and more studies on the age differences of facial emotion processing. Not only does the observer's age affect facial emotion processing, but also the consistency of the age of the viewer with the performer will affect the processing of facial emotion, which is called the own age bias(OAB) for face processing. There are two datasets of facial expression for Chinese: the facial expression library(Wang & Markman, 1999) and Chinese facial affective picture system(Gong et al., 2011). The models of these two datasets were young people. With the rapid aging of population in China, the research interest on elderly psychology is increasing. In order to meet the urgent need, the purpose of this study is to establish a dataset of facial expression for Chinese elder adults. Totally 76 older people(41 women, M=72.7 years, SD=6.9, age range 61-91) participated in the snap-shotting and displaying six basic expressions(happiness, anger, sadness, disgust, fear, surprise) and natural expression, after the preliminary selection of the images, a total of 578 images were chosen for the face rating task. 20 young men(10 women, M=23.1 years, SD=1.7, age range 20-26) and 20 older adults(11 women. M=71.0 years, SD=5.1, age range 64-79) evaluated these facial expression images twice(interval of 4 weeks) to get the validity and reliability scores. Based on the proportion of correct score, a total of 252 images were selected in the final dataset, including 30 angry expressions(18 women), 76 happy expression(41 women), 47 sad expressions(26 women), 35 disgust expressions(24 women), 26 fear expressions(12 women), 47 surprise(29 women) and 67 natural(37 women). The proportion of correct scores for the first time were: 0.97, 0.80, 0.69, 0.52, 0.75, 0.86, 0.70 for old people and 0.99, 0.66, 0.75, 0.59, 0.69, 0.81, 0.73 for young people, indicating that the selected pictures have good validity; The proportion of correct scores for the second time were: 0.98, 0.81, 0.73, 0.51, 0.66, 0.81, 0.66 and 0.98, 0.65, 0.79, 0.60, 0.61, 0.85, 0.70 for old people and young people, respectively. The proportion of correct scores shows high consistency between the two assessments, indicating high reliability of these pictures. This study established the Chinese elderly facial expression gallery, which can provide proper stimuli for studies on emotion, cognition, motivation, and its life span development and cross culture comparisons.
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