A standardized database of Chinese emotional short videos based on age and gender differences

被引:6
作者
Duan, Danting [1 ]
Zhong, Wei [2 ]
Ran, Shuang [1 ]
Ye, Long [2 ]
Zhang, Qin [2 ]
机构
[1] Commun Univ China, Key Lab Media Audio & Video, Beijing, Peoples R China
[2] Commun Univ China, State Key Lab Media Convergence & Commun, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
SEX-DIFFERENCES; ELICITATION; STIMULI; STATES;
D O I
10.1371/journal.pone.0283573
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Most of the existing emotion elicitation databases use the film clips as stimuli and do not take into account the age and gender differences of participants. Considering the short videos have the advantages of short in time, easy to understand and strong emotional appeal, we choose them to construct a standardized database of Chinese emotional short videos by the joint analysis of age and gender differences. Two experiments are performed to establish and validate our database. In the Experiment 1, we selected 240 stimuli from 2700 short videos and analyzed the subjective evaluation results of 360 participants with different ages and genders. As a result, a total of 54 short videos with three categories of emotions were picked out for 6 groups of participants, including the male and female respectively aged in 20-24, 25-29 and 30-34. In the Experiment 2, we recorded the EEG signals and subjective experience scores of 81 participants while watching different video stimuli. Both the results of EEG emotion recognition and subjective evaluation indicate that our database of 54 short videos can achieve better emotion elicitation effects compared with film clips. Furthermore, the targeted delivery of specific short videos has also been verified to be effective, helping the researchers choose appropriate emotional elicitation stimuli for different participants and promoting the study of individual differences in emotion responses.
引用
收藏
页数:29
相关论文
共 49 条
[1]   LIRIS-ACCEDE: A Video Database for Affective Content Analysis [J].
Baveye, Yoann ;
Dellandrea, Emmanuel ;
Chamaret, Christel ;
Chen, Liming .
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2015, 6 (01) :43-55
[2]   Emotion and Motivation II: Sex Differences in Picture Processing [J].
Bradley, Margaret M. ;
Codispoti, Maurizio ;
Sabatinelli, Dean ;
Lang, Peter J. .
EMOTION, 2001, 1 (03) :300-319
[3]   MEASURING EMOTION - THE SELF-ASSESSMENT MANNEQUIN AND THE SEMANTIC DIFFERENTIAL [J].
BRADLEY, MM ;
LANG, PJ .
JOURNAL OF BEHAVIOR THERAPY AND EXPERIMENTAL PSYCHIATRY, 1994, 25 (01) :49-59
[4]   Psychophysiological and subjective indices of emotion as a function of age and gender [J].
Burriss, Louisa ;
Powell, D. A. ;
White, Jeffrey .
COGNITION & EMOTION, 2007, 21 (01) :182-210
[5]  
Heilbron FC, 2015, PROC CVPR IEEE, P961, DOI 10.1109/CVPR.2015.7298698
[6]  
Dadebayev D., 2021, J KING SAUD UNIV-COM
[7]   Scaling Egocentric Vision: The EPIC-KITCHENS Dataset [J].
Damen, Dima ;
Doughty, Hazel ;
Farinella, Giovanni Maria ;
Fidler, Sanja ;
Furnari, Antonino ;
Kazakos, Evangelos ;
Moltisanti, Davide ;
Munro, Jonathan ;
Perrett, Toby ;
Price, Will ;
Wray, Michael .
COMPUTER VISION - ECCV 2018, PT IV, 2018, 11208 :753-771
[8]   A New Standardized Emotional Film Database for Asian Culture [J].
Deng, Yaling ;
Yang, Meng ;
Zhou, Renlai .
FRONTIERS IN PSYCHOLOGY, 2017, 8
[9]   Gender Differences in Emotional Response: Inconsistency between Experience and Expressivity [J].
Deng, Yaling ;
Chang, Lei ;
Yang, Meng ;
Huo, Meng ;
Zhou, Renlai .
PLOS ONE, 2016, 11 (06)
[10]  
Duan RN, 2013, I IEEE EMBS C NEUR E, P81, DOI 10.1109/NER.2013.6695876