Music in advertising plays a crucial role in making the audience feel beyond the multi-level visual experience.The intrinsic link between brand publicity and advertising music has long been a puzzle.This paper discuss...Music in advertising plays a crucial role in making the audience feel beyond the multi-level visual experience.The intrinsic link between brand publicity and advertising music has long been a puzzle.This paper discusses the impact of the consistency between the emotional characteristics of music and brand personality on brand experience and expands the discussion to brand experience under market competition.We use the examples of Canon and Apple for our study.The results shows that:(1)the higher the degree of consistency between the emotional experience from music and brand personality,the greater the positive effect on brand experience;(2)this positive effect is not as significant for functional brands as it is for representative brands;(3)the consistency between the emotional experience from music and brand personality has a greater impact on brand experience for representative brands than functional brands.The results provide practical guidance for branding campaigns.展开更多
Analysis of customers' satisfaction provides a guarantee to improve the service quality in call centers.In this paper,a novel satisfaction recognition framework is introduced to analyze the customers' satisfaction.I...Analysis of customers' satisfaction provides a guarantee to improve the service quality in call centers.In this paper,a novel satisfaction recognition framework is introduced to analyze the customers' satisfaction.In natural conversations,the interaction between a customer and its agent take place more than once.One of the difficulties insatisfaction analysis at call centers is that not all conversation turns exhibit customer satisfaction or dissatisfaction. To solve this problem,an intelligent system is proposed that utilizes acoustic features to recognize customers' emotion and utilizes the global features of emotion and duration to analyze the satisfaction. Experiments on real-call data show that the proposed system offers a significantly higher accuracy in analyzing the satisfaction than the baseline system. The average F value is improved to 0. 701 from 0. 664.展开更多
The research of emotion recognition based on electroencephalogram(EEG)signals often ignores the related information between the brain electrode channels and the contextual emotional information existing in EEG signals...The research of emotion recognition based on electroencephalogram(EEG)signals often ignores the related information between the brain electrode channels and the contextual emotional information existing in EEG signals,which may contain important characteristics related to emotional states.Aiming at the above defects,a spatiotemporal emotion recognition method based on a 3-dimensional(3 D)time-frequency domain feature matrix was proposed.Specifically,the extracted time-frequency domain EEG features are first expressed as a 3 D matrix format according to the actual position of the cerebral cortex.Then,the input 3 D matrix is processed successively by multivariate convolutional neural network(MVCNN)and long short-term memory(LSTM)to classify the emotional state.Spatiotemporal emotion recognition method is evaluated on the DEAP data set,and achieved accuracy of 87.58%and 88.50%on arousal and valence dimensions respectively in binary classification tasks,as well as obtained accuracy of 84.58%in four class classification tasks.The experimental results show that 3 D matrix representation can represent emotional information more reasonably than two-dimensional(2 D).In addition,MVCNN and LSTM can utilize the spatial information of the electrode channels and the temporal context information of the EEG signal respectively.展开更多
基金We acknowledge the financial support from the National Natural Science Foundation of China under[grant number 71172128].
文摘Music in advertising plays a crucial role in making the audience feel beyond the multi-level visual experience.The intrinsic link between brand publicity and advertising music has long been a puzzle.This paper discusses the impact of the consistency between the emotional characteristics of music and brand personality on brand experience and expands the discussion to brand experience under market competition.We use the examples of Canon and Apple for our study.The results shows that:(1)the higher the degree of consistency between the emotional experience from music and brand personality,the greater the positive effect on brand experience;(2)this positive effect is not as significant for functional brands as it is for representative brands;(3)the consistency between the emotional experience from music and brand personality has a greater impact on brand experience for representative brands than functional brands.The results provide practical guidance for branding campaigns.
基金Supported by the National Natural Science Foundation of China(61473041,61571044,11590772)
文摘Analysis of customers' satisfaction provides a guarantee to improve the service quality in call centers.In this paper,a novel satisfaction recognition framework is introduced to analyze the customers' satisfaction.In natural conversations,the interaction between a customer and its agent take place more than once.One of the difficulties insatisfaction analysis at call centers is that not all conversation turns exhibit customer satisfaction or dissatisfaction. To solve this problem,an intelligent system is proposed that utilizes acoustic features to recognize customers' emotion and utilizes the global features of emotion and duration to analyze the satisfaction. Experiments on real-call data show that the proposed system offers a significantly higher accuracy in analyzing the satisfaction than the baseline system. The average F value is improved to 0. 701 from 0. 664.
基金supported by the National Natural Science Foundation of China(61872126)the Key Scientific Research Project Plan of Colleges and Universities in Henan Province(19A520004)。
文摘The research of emotion recognition based on electroencephalogram(EEG)signals often ignores the related information between the brain electrode channels and the contextual emotional information existing in EEG signals,which may contain important characteristics related to emotional states.Aiming at the above defects,a spatiotemporal emotion recognition method based on a 3-dimensional(3 D)time-frequency domain feature matrix was proposed.Specifically,the extracted time-frequency domain EEG features are first expressed as a 3 D matrix format according to the actual position of the cerebral cortex.Then,the input 3 D matrix is processed successively by multivariate convolutional neural network(MVCNN)and long short-term memory(LSTM)to classify the emotional state.Spatiotemporal emotion recognition method is evaluated on the DEAP data set,and achieved accuracy of 87.58%and 88.50%on arousal and valence dimensions respectively in binary classification tasks,as well as obtained accuracy of 84.58%in four class classification tasks.The experimental results show that 3 D matrix representation can represent emotional information more reasonably than two-dimensional(2 D).In addition,MVCNN and LSTM can utilize the spatial information of the electrode channels and the temporal context information of the EEG signal respectively.