Monday, 26 March 2012

Scherer's typology of affective states

Classifying human's affective states is a quite tough problem. Recently I've discovered  some splendid methods invented by Dr. Klaus Scherer,  director of Swiss Center for Affective Sciences. The first way of classification implies two-dimensional space based on activity and evaluation axes, as shown below.


A more detailed approach splits all the affective states into  five categories:  Emotion, Mood, Interpersonal Stances,  Attitudes, and Personality Traits.

Emotion:  Is the episode  relatively brief  of  synchronized  responses  for  all  or  most  organic  systems to the evaluation of  an  external  or internal  event  as  being of  major  significance.  Emotion’s  examples  are anger, sadness, joy, fear, shame, pride, elation and desperation.
Mood: Is a diffuse affective state that consists in the subjective feeling changing, with low intensity, but long duration without apparent cause. Dipert (1998) considers that moods differ from emotions most strongly in not  having  an intentional  object. Their  causes  are typically  conceptual  or  evaluative  (things  are  or  are  not going  well).  He  mentions some examples  of  moods:  cheerful,  gloomy,  irritable,  listless,  de-pressed,  and buoyant.
Interpersonal Stance: The interpersonal  stance is an affective position in  relation to the other person in  a specific interaction. Distant, cold, warm, supportive and contemptuous are examples of interpersonal stances.
Attitudes:  Attitudes  are  relatively  tolerant,  affectively  coloured beliefs,  preferences  and predisposition  in relation to objects or people. Examples of attitudes are liking, loving, hating, desiring and valuing
Personality Traits:  Personality  traits  are emotionally  laden,  stable  personality  dis-positions  and behavior tendencies,  typical  of  a  person.  For  example:  nervous,  anxious,  reckless,  morose,  hostile,  envious  and jealousy.


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1 comment:

  1. This is awesome work mate! Helped me get clarity on my research. Thank you :)

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