The phrase "affective need" is correct and usable in written English.
It can be used in contexts discussing emotional or psychological requirements, particularly in psychology or social sciences.
Example: "In therapy, addressing a client's affective need for connection can significantly enhance their healing process."
Alternatives: "emotional need" or "psychological need".
It aims at incorporating customers' affective needs into design elements that deliver customers' affective satisfaction.
Understanding the affective needs of customers is crucial to the success of product design.
One approach is to understand user emotions and affective needs, and predict successful product design that can match the needs.
Thematic content analyses indicate that the predominant educational ideology is to offer children and their families an individualized service with priority given to children's affective needs.
Perhaps a more realistic approach to accommodating users' affective needs is to design interactive technologies that would help users help themselves.
As one of the important applications of data mining, association rule mining lends itself to the discovery of useful patterns associated with the mapping of affective needs.
A shift in foreign language pedagogy from a specific foreign language method to one of measurement of language performance/competency has resulted in a change in the role of the teacher from one of authority/expert to one who guides learning tasks in a classroom environment designed to meet the cognitive and affective needs of the learner.
In order to generalize findings on the effects of neuronal or pharmacological manipulations on learning and memory, obtained from one species and one task, to other species and other tasks, the mediating role of important sets of variables which influence learning and memory (e.g. attentional, affective) needs to be determined.
Since the combined effects of the product's various modeling features contribute to a large extend to consumers' perceptual evaluation of the product, it is of high necessity for designers to make exhaustive research on the mental feeling aroused by the product's multi-dimensional modeling features (MMFs) if they intend to design a product that echoes users' affective needs.
In view of the insufficiency of traditional methods in dealing with such an issue, this paper proposes a new decision support approach that is based on the principles of dominance-based rough set theory for the study of interactions between consumer affective needs and product features in product design.
