affective computing


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affective computing

Electronically detecting the mood of a computer user via sensors, cameras, keystroke rhythm detection and other physical means. Affective computing implies that the emotional state of the user can be interpreted, and the software can respond accordingly. For example, the application can tailor answers or assistance in areas such as Internet-based therapy and e-learning.
References in periodicals archive ?
Affective computing is going to be an essential skill for all software developers in five years time.
On the other hand, the study is on developing automatic classifiers to infer working conditions and stress related mental states from a multimodal set of sensor data (computer logging, facial expressions, posture and physiology) with the help of affective computing that addresses two methodological and applied machine learning challenges which includes detecting work stress using several (physically) unobtrusive sensors, and taking into account individual differences [3].
Last but not the least if we truly need affective computing to trickle down to our daily lives it would mean an overhaul in terms of hardware optimization.
The detail explanation of Affective Computing Module shown in Figure 1 has been illustrated in details in Figure 2.
At the same time, the research on affective computing will also establish some new biological characteristics and behavior characteristics of the parametric model and processing ideas, thus greatly promoting the traditional image, speech, language and other related disciplines.
On this basis, this workshop attempts to encourage a dialogue among researchers in the AI, human-computer interaction, game design, cognitive modeling, affective computing and psychology disciplines who investigate dissimilar methodologies for improving user (player) experiences.
Two new technologies have emerged for the long term: affective computing and robotics.
In this regard, we simply indicate the importance of Affective computing, where computer science, psychology and cognitive science converge, and which studies how to design computers that are able to recognise, interpret and even simulate emotions in order to improve interactions between people and computers (Picard, 2003).
Another study, in the peer-reviewed journal IEEE Transactions on Affective Computing, found that software was able to make judgments about students' levels of engagement that were as reliable as those of human observers, and that these video-based engagement scores predicted post-test scores better than pre-test scores could.
Box 2 Sensing emotions, saving lives Applications of affective computing (AC) include the development of systems that can detect user emotions; express what a human would perceive as an emotion (eg, through an avatar or a robot); and even "feel," or experience, an emotion.
Affective computing has recently been gaining attention from researchers who are studying interactive and personalized Web services.
Affective-cognitive learning and decision making: a motivational reward framework for affective agents, Affective Computing and Intelligent Interaction 3784: 866-873.