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The affective domain addresses attitudes, emotions, and feelings, moving from basic awareness and responsiveness to more complex values and beliefs. This domain outlines five levels: Receiving, Responding, Valuing, Organizing, and Characterizing.
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science , psychology , and cognitive science . [ 1 ]
Affective factors relate to the learner's emotional state and attitude toward the target language. Research on affect in language learning is still strongly influenced by Bloom's taxonomy , which describes the affective levels of receiving, responding, valuing, organization, and self-characterization through one's value system.
The Balanced Inventory of Desirable Responding (BIDR) is a psychometric tool that serves as a 40-item self-report questionnaire. BIDR assesses the potential social desirability bias in respondents' answers and further shows the composition of impression management (IM) and self-deception enhancement (SDE) within that bias.
The notion of affective design emerged from the field of human–computer interaction (HCI), [3] specifically from the developing area of affective computing. [2] Affective design serves an important role in user experience (UX) as it contributes to the improvement of the user's personal condition in relation to the computing system. [ 4 ]
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