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
