Abstract
Before we use the concept of “affect” in human-computer interaction (HCI), research on emotions has been done for a long time, a history of which has been detailed in the book Handbook of Emotions (Lewis & Haviland-Jones, 2000). Emotion is a positive or negative mental state that combines physiological input with cognitive appraisal (Oatley, 1987; Ortony et al., 1990; Thagard, 2005). Although not traditionally considered an aspect of cognitive science, it has recently been attributed to be effective on rational decision making. Predominant theories about emotion explain it as either making judgments, or having bodily reactions, or the combination of the two. Judgments are made (such as satisfaction from the outcome of hard work) and/or bodily reactions (such as sweating from fear of a task, or nervousness) take place based on a person's interactions or disposition.
Emotional communication is important to understanding social emotional influences in the workplace. Nowadays, more and more researchers are interested in how to integrate emotions into HCI, which has become known as “affective computing” (Picard, 1997). Affective computing builds an “affect model” based on a variety of information, which results in a personalized computing system with the capability of perception and interpretation of human feelings as well as generating intelligent, sensitive, and friendly responses.
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Tao, J., Tan, T. (2009). Introduction. In: Tao, J., Tan, T. (eds) Affective Information Processing. Springer, London. https://doi.org/10.1007/978-1-84800-306-4_1
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