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--- emotions_models [2010-12-07 06:20] – created rula.sayaf
+++ emotions_models [2010-12-07 06:47] – rula.sayaf
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 The multi-stage account uses both universal elicitors (e.g., novelty, threat level, pleasantness, unexpectedness), to generate the valence, and more cognitively-complex and individual elicitors (e.g., individual history, expectation- and goal-congruence), to generate a categorical assessment using an expanded appraisal.
 The resulting affective states are used in the rules selecting the agent’s goals and actions; they influence the speed and capacity of MAMID architecture modules; they influence ranking like determining whether a specific cue or situation is processed, or specific goal selected.  The last two effects have been a particular focus of this model, and aim to implement emotional effects to cognitive processes.
+MAMID architecture uses the model suggested by (Hudlicka, 2002; 1998) that maps specific states/traits profiles onto specific architecture parameter values. These parameters control the way the architecture modules process data and elicit emotions.
+An example is mentioned in the work Invalid source specified.: for a high trait and state anxiety and fear individual, reduced attention and working memory are mapped and reflected onto a limited working memory capacity of the architecture modules resulting in reducing the number of processed data like cues, situations and expectations. Threat bias is modeled by higher ranking of threatening cues and by higher ranking of threatening situations and expectations.  Trait-linked structural differences in LTM are supported by allowing selection of alternative LTM clusters, reflecting distinct personality traits (e.g., selection of clusters with greater proportion of threat- and self-related schemas to represent individuals with high trait-anxiety (high neuroticism). Traits also influence the dynamic characteristics of the emotional responses (like maximum intensities).
+In this architecture it is easy to model different trait profiles and integrate existing profile like “obsessive-compulsive”. Moreover it can easily integrate conflicting emotions and traits for artificial agents just like in humans.
+This method is a psychotherapy treatment through VR. Below is an example of actions controlled by MAMID in a “Fear of public speaking” application.
+This example is used in building virtual characters and avatars to treat patients with social phobia. These avatars will evoke the undesired symptoms in the patient (like being negative and aggressive toward the speaking patient). Once these symptoms are identified, the patient is treated wit the appropriate therapeutic interventions (e.g., cognitive restructuring, systematic desensitization).