A social interaction system based on cloud computing for mobile video telephony

As the use of smartphones become popular,people heavily depend on smartphone applications to deal with their social activities.For this reason,traditional message texting between mobile applications does not fulfill the versatile requirements of social networking.Many mobile applications use multimodality to deliver multimedia messages including sticker,voice and photo message,video call,and snap movie to enhance the communicative capability.However,without face-to-face interaction,people may fail to detect the other side’s non-verbal social behavior such as fine-grain facial expressions,body movements,or hand gesture.During social interaction,non-verbal behavior conveys information about the involved individuals and help the speakers express their social emotion in an implicit way.It is so important for real-world face-to-face interaction but is often blocked on the mobile telephony.To cope with this problem,we propose an afective computing model to assist the representation of social emotion and then help the progress of social interaction on the mobile telephony.In this model,for the purpose of real-time afective analysis,we delegate the computing loading to the cloud side service and enhance the system’s scalability and availability.The result of this experiment approves the feasibility of our system design for the applications of social intelligent.Also,the system provides a research framework of the social intelligent system on the mobile telephony.     

Emotional agent based on rough set

To improve the ability of agent for handling emotions, a new architecture for emotion agent is presented, based on the traditional BDI agent model and the rough set theory. By a new emotional reasoning algorithm based on rough set, the architecture performs emotion reasoning and implements the emotion treatment. An emotional agent grid based on this architecture has been realized, experiment results show that it is efficient to transact simple emotions by emotional agents.     

Increased Vulnerability to Stress Following Opiate Exposures: Behavioral and Autonomic Correlates.

The authors used rats to study the impact of a history of opiate exposures on behavioral and autonomic responses to restraint stress. Brief restraint (30 min) provoked tachycardia and a pressor response, anxiety (as indexed by social interaction), grooming, and reduced exploration. The pressor response was reduced at 1 day, but not 7 days, after last opiate exposure; tachycardia was unaffected (Experiment 1). Stress-induced anxiety was potentiated 1 and 7 days after last opiate exposure (Experiment 2), and this potentiation was a function of dose (Experiment 3) and duration (Experiment 4) of opiate exposure. The results show that a history of opiate exposures alters vulnerability to stress and has implications for understanding coping, anxiety, and emotionality in former opiate users. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development and evaluation of the Air Travel Stress Scale.

Despite anecdotal evidence suggesting that air travel is personally demanding, little research has examined air travel stress. To address these issues, the author developed and evaluated the 1st known measure of air travel stress--the Air Travel Stress Scale--in 3 studies. Exploratory and confirmatory factor analysis indicated 3 components: (a) anxious reactions to adverse air travel events, (b) angry reactions to other passengers as well as an antecedent of air travel stress, and (c) the lack of trust that the airlines/airports will ensure one's comfort and safety. Each component had good internal reliability and test-retest reliability over a 6- to 7-week interval. Each component showed evidence for discriminant and convergent validity. Implications for research into understanding and intervening on air travel stress are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Self-Deception and Emotional Coherence

This paper proposes that self-deception results from the emotional coherence of beliefs with subjective goals. We apply the HOTCO computational model of emotional coherence to simulate a rich case of self-deception from Hawthorne's The Scarlet Letter.We argue that this model is more psychologically realistic than other available accounts of self-deception, and discuss related issues such as wishful thinking, intention, and the division of the self.     

Noisy speech emotion recognition using sample reconstruction and multiple-kernel learning

Speech emotion recognition (SER) in noisy environment is a vital issue in artificial intelligence (AI). In this paper, the reconstruction of speech samples removes the added noise. Acoustic features extracted from the reconstructed samples are selected to build an optimal feature subset with better emotional recognizability. A multiple-kernel (MK) support vector machine (SVM) classifier solved by semi-definite programming (SDP) is adopted in SER procedure. The proposed method in this paper is demonstrated on Berlin Database of Emotional Speech. Recognition accuracies of the original, noisy, and reconstructed samples classified by both single-kernel (SK) and MK classifiers are compared and analyzed. The experimental results show that the proposed method is effective and robust when noise exists.     

基于大数据的酒业舆情信息监测平台

酒业发展至今,网络舆情已经成为企业不得不认真对待的一部分,面对舆论汹涌,研究大数据在线网络舆情的挖掘、方法和预警具有重要的社会价值和理论意义。将网络主流媒体的新闻数据爬取存入数据库后,利用数据统计、情感词分析和深度学习方法BERT,平台可以实时收集并整理酒企与主要竞争对手在主流舆论对社会媒体的信息,识别相关的话题和事件,判断新闻的情感倾向,跟踪事件的发展和实时预警,从而帮助酒企全面了解自己和竞争对手的网络媒体舆论动力学,为品牌形象优化策略提供指导。     

公共空间的大众情结

公共空间的引入,为建立人类情感的交流的平台提供了一个卓有实效的媒材。当代人类丰硕的物质文明,为营造人类的情感空间提供了保证和必须。在鳞次栉比的广厦之间,在通达烦杂的道路之间,人与人的交流在公共空间艺术作品的作用下成为可能,越来越多的人希望这种饱含情感的空间参入到大众的生活。公共的凝结了大众情感的空间是公共艺术人文关怀的延续,建设性的公共空间艺术实现了对人类情感的真正皈依。