IEEE Transactions on Affective Computing Impact Factor, Indexing, Ranking 2024

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 gestures; Analysis of text and spoken language for emotion recognition; Analysis of prosody and voice quality of affective speech; Recognition of auditory and visual affect bursts; Recognition of affective state from central (e.g. fMRI, EEG) and peripheral (e.g. GSR) physiological measures; Methods for multi-modal recognition of affective state; Recognition of group emotion; Methods of data collection with respect to psychological issues as mood induction and elicitation or technical methodology as motion capturing; Tools 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 computing; Computational 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 expression; Contributions 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 agents; Models of verbal and nonverbal expression of various forms of affect that facilitate machine implementation; Methods to adapt interaction with technology to the affective state of users; Computational methods for influencing the emotional state of people; New methods for defining and evaluating the usability of affective systems and the role of affect in usability; Methods of emotional profiling and adaptation in mid- to long-term interaction; Application 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.

《IEEE 情感计算学报》系一门跨学科且国际化的档案期刊，致力于传播关于设计能够识别、解释和模拟人类情感及其相关情感现象的系统的研究成果。该期刊发表原创研究，探讨解释情感因素如何以及为何影响人与技术之间互动的原理与理论，阐述情感感知与模拟技术如何增进我们对人类情感过程的理解，以及如何设计、实施与评估在影响其可用性的因素中特别考虑情感的系统的设计、实施与评估。当现有工作的综述提出关于该领域历史与视角的新观点时，亦考虑予以发表。该期刊涵盖但不限于以下主题：感知与分析：从面部和身体姿态识别情感状态的算法与特征；文本和口语语言的情感识别分析；情感性言语的韵律和音质分析；听觉和视觉情感爆发的识别；从中枢（例如，fMRI、EEG）和外围（例如，GSR）生理指标识别情感状态；多模态情感状态识别方法；群体情感的识别；与心理问题相关的数据收集方法，如情绪诱导和激发，或技术方法，如动作捕捉；提供情感语料库的标注工具与方法。（网络）心理学与行为：以促进其在计算中的应用为目的，阐明与“情感计算”相关的概念（例如，情感、心境、个性、态度）；人类情感过程计算模型（例如，考虑情感影响的决策模型；用户情感状态的预测模型）；关于情感表达在跨文化、群体和跨语言差异的研究；对情感计算标准和标记语言的贡献。行为生成与用户交互：为合成和机器人代理提供视觉、听觉和文本情感表达的计算模型；促进机器实现的多种形式情感表达的言语和非言语表达模型；适应用户情感状态与技术交互的方法；影响人们情感状态的计算方法；定义和评估情感系统可用性及其在可用性中作用的新方法；中到长期交互中的情感配置文件和适应方法；情感计算在教育、医疗保健、娱乐、客户服务、设计、车辆操作、社交代理/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、音乐检索和生成等领域的应用。