A Comprehensive Survey on Affective Computing: Challenges, Trends, Applications, and Future Directions [PDF]
IEEE Access, 2023 Affective computing, as its name implies, focuses on the recognition of human emotions, sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as languages, sociology, psychology, computer science, and physiology.
Sitara Afzal +3 more
doaj +4 more sources
Affective Game Computing: A Survey [PDF]
Proceedings of the IEEE, 2023 This paper surveys the current state of the art in affective computing principles, methods and tools as applied to games. We review this emerging field, namely affective game computing, through the lens of the four core phases of the affective loop: game affect elicitation, game affect sensing, game affect detection and game affect adaptation.
Georgios Yannakakis, David Melhart
exaly +4 more sources
Affective Computing for Learning in Education: A Systematic Review and Bibliometric Analysis
Education SciencesAffective computing is an emerging area of education research and has the potential to enhance educational outcomes. Despite the growing number of literature studies, there are still deficiencies and gaps in the domain of affective computing in education.
Rajamanickam Yuvaraj +3 more
doaj +2 more sources
The relationship between charitable giving and emotional facial expressions: Results from affective computing [PDF]
HeliyonThis study investigated the relationship between emotional states (valence, arousal, and six basic emotions) and donation size in pet charities, and it compared the effectiveness of affective computing and emotion self-report methods in assessing ...
Anna Shepelenko +4 more
doaj +2 more sources
Affective Computing: Recent Advances, Challenges, and Future Trends
Intelligent Computing, 2023 Affective computing is a rapidly growing multidisciplinary field that encompasses computer science, engineering, psychology, neuroscience, and other related disciplines.
Guanxiong Pei +5 more
doaj +2 more sources
Affective computing has changed: the foundation model disruption
npj Artificial IntelligenceThe dawn of Foundation Models has on the one hand revolutionised a wide range of research problems, and, on the other hand, democratised the access and use of AI-based tools by the general public.
Björn Schuller +7 more
doaj +2 more sources
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach. [PDF]
Sensors (Basel), 2022 Extensive possibilities of applications have rendered emotion recognition ineluctable and challenging in the fields of computer science as well as in human-machine interaction and affective computing. Fields that, in turn, are increasingly requiring real-
Filippini C +7 more
europepmc +2 more sources
Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT [PDF]
arXiv.org, 2023 ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it has demonstrated competent performance across many natural language processing tasks.
Mostafa M. Amin +2 more
semanticscholar +1 more source
River boundary detection and autonomous cruise for unmanned surface vehicles
IET Image Processing, 2023 The detection of river boundaries is a crucial branch of the intelligent perception of unmanned surface vehicles (USVs), it can be used to determine the driving areas of USVs, and also to ensure driving safety by limiting the effective drivable areas of ...
Kai Zhang +5 more
doaj +1 more source
A Wide Evaluation of ChatGPT on Affective Computing Tasks [PDF]
IEEE Transactions on Affective Computing, 2023 With the rise of foundation models, a new artificial intelligence paradigm has emerged, by simply using general purpose foundation models with prompting to solve problems instead of training a separate machine learning model for each problem. Such models
Mostafa M. Amin +3 more
semanticscholar +1 more source