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This vector consists of learning to understand, accept, and express emotions. Individuals learn how to appropriately act on feelings that they are experiencing. In his more recent work, Chickering's theory was broad and covered emotions including anxiety, depression, guilt, anger, shame along with positive emotions such as inspiration and optimism.
Activity vector analysis (AVA) is a psychometric questionnaire designed to measure four personality factors or vectors: aggressiveness, sociability, emotional control and social adaptability. [1] It is used as an employment test .
A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
Flow is an individual experience and the idea behind flow originated from the sports-psychology theory about an Individual Zone of Optimal Functioning. The individuality of the concept of flow suggests that each person has their subjective area of flow, where they would function best given the situation.
The model assumes that there is always an underlying arousal dimension, and that valence determines the direction in which a particular emotion lies. For example, a positive valence would shift the emotion up the top vector and a negative valence would shift the emotion down the bottom vector.
[[Category:Psychology templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Psychology templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
The HAM model was later expanded into the first version of the ACT theory. [37] This was the first time the procedural memory was added to the original declarative memory system, introducing a computational dichotomy that was later proved to hold in human brain. [38] The theory was then further extended into the ACT* model of human cognition. [39]
The experience sampling method (ESM), [1] also referred to as a daily diary method, or ecological momentary assessment (EMA), is an intensive longitudinal research methodology that involves asking participants to report on their thoughts, feelings, behaviors, and/or environment on multiple occasions over time. [2]