IEEE Transactions on Affective Computing SCIE

中文简介

《IEEE情感计算汇刊》是一本跨学科和国际档案期刊，旨在传播对系统设计的研究成果，这些系统能够识别、解释和模拟人类情感和相关的情感现象。该杂志发表了关于解释为什么和如何影响人类与技术之间的相互作用的原理和理论的原始研究，关于情感感知和模拟技术如何能帮助我们理解人类情感过程，以及对仔细设计、实施和评估系统的研究。考虑影响可用性的因素中的影响。对现有工作的调查在提出新的历史观点和对这一领域的观点时被考虑出版。该杂志涵盖但不限于以下主题：感知与分析：从面部和身体姿势识别情感状态的算法和特征情感识别的文本与口语分析情感言语的韵律与音质分析听觉和视觉冲击波的识别从中枢（如fmri、e e g）和外周（如gsr）生理测量中识别情感状态情感状态的多模态识别方法群体情感的认知与心理问题有关的数据收集方法，如情绪诱导和诱发，或技术方法学，如动作捕捉提供情感语料库的注释工具和方法。（网络）心理学和行为：以便于在计算中使用的方式澄清与“情感计算”相关的概念（如情感、情绪、个性、态度）。人类情绪过程的计算模型（例如，考虑情绪影响的决策模型；用户情绪状态的预测模型）跨文化、群体和跨语言情感表达差异研究对情感计算标准和标记语言的贡献。行为生成与用户交互：合成和机器人的视觉、听觉和文本情感表达的计算模型促进机器实现的各种形式影响的口头和非口头表达模型与技术交互适应用户情感状态的方法影响人们情绪状态的计算方法定义和评估情感系统可用性的新方法以及影响在可用性中的作用中长期互动中的情绪分析与适应方法情感计算的应用，包括教育、保健、娱乐、客户服务、设计、车辆操作、社会代理/机器人、情感环境智能、客户体验测量、多媒体检索、监控系统、生物识别、音乐检索和生成

投稿网址：https://www.computer.org/web/tac/author;jsessionid=754ac76dad2796cda19553ce0570

英文简介

The IEEE Transactions on Affective Computing is a cross-disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. The journal publishes original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work are considered for publication when they propose a new viewpoint on the history and the perspective on this domain. The journal covers but is not limited to the following topics::Sensing & analysis: Algorithms and features for the recognition of affective state from face and body gesturesAnalysis of text and spoken language for emotion recognitionAnalysis of prosody and voice quality of affective speechRecognition of auditory and visual affect burstsRecognition of affective state from central (e.g. fMRI, EEG) and peripheral (e.g. GSR) physiological measuresMethods for multi-modal recognition of affective stateRecognition of group emotionMethods of data collection with respect to psychological issues as mood induction and elicitation or technical methodology as motion capturingTools and methods of annotation for provision of emotional corpora. (Cyber) psychology & behavior: Clarification of concepts related to ‘affective computing’ (e.g., emotion, mood, personality, attitude) in ways that facilitate their use in computingComputational models of human emotion processes (e.g., decision-making models that account for the influence of emotion; predictive models of user emotional state)Studies on cross-cultural, group and cross-language differences in emotional expressionContributions to standards and markup language for affective computing. Behavior Generation & User Interaction: Computational models of visual, acoustic and textual emotional expression for synthetic and robotic agentsModels of verbal and nonverbal expression of various forms of affect that facilitate machine implementationMethods to adapt interaction with technology to the affective state of usersComputational methods for influencing the emotional state of peopleNew methods for defining and evaluating the usability of affective systems and the role of affect in usabilityMethods of emotional profiling and adaptation in mid- to long-term interactionApplication of affective computing including education, health care, entertainment, customer service, design, vehicle operation, social agents/robotics, affective ambient intelligence, customer experience measurement, multimedia retrieval, surveillance systems, biometrics, music retrieval and generation