감성지능이 긍정컴퓨팅에 어떤것을 시사하는가?
Fig. 1: David R. Caruso, Yale University and EI Skills Group
David R. Caruso, Yale University and EI Skills Group
컴퓨팅은 더 이상 컴퓨터에 관한 것이 아니다. 컴퓨팅은 이제 삶에 관한 것이다.
Nicholas Negroponte, Being Digital
어떻게 느끼는가는 어떻게 생각하고 무엇을 생각하는가에 영향을 미치게 된다. 우리의 감성이나 감정이 알려주는 바에 의해서 의사결정이 내려지곤 하는데 그것이 도움이 되기도 혹은 재앙이 되기도 한다. 어떻게 느끼는가를 인지하는 것, 이런 느낌을 사고(thinking)에 반영하는 것, 이런 느낌을 갖는 이유에 대해 이해하는 것, 이런 느낌을 성공적으로 관리하는 것, 이 4가지가 바로 피터 살로베이와 잭 매이어가 1990년에 주장한 “감성지능의 능력모델(ability model of emotional intelligence (EI))“의 핵심적 요소이다.
감성지능(EI)에 대한 개념정의는 여러종류가 있지만 (EQ(Emotional Quotient)라고 부른다)
Although there are many popular conceptions of EI (sometimes referred to as Emotional Quotient or “EQ”), in the ability model EI is a form of intelligence related to analytical intelligence (IQ), but also different enough to be considered unique. Just like IQ, EI can be measured in an objective manner, and it shows individual differences: some people are more emotionally intelligent than others.
This approach to EI posits that emotions are data, communicate meaning, and have various, predictable trajectories. Although we are often told that emotions can highjack us and derail us, emotions are adaptive. They help us survive, grow, and develop. A rich experience of emotions is essential to quality relationships. Although all emotions can be adaptive—including anger, fear, and disgust—EI defined and measured as an ability can inform positive computing.
The first ability in this model is perceiving emotions accurately. Positive-computing applications that help people better perceive their own emotions and the emotions of others would greatly benefit people who tend to misperceive emotions. Misunderstandings can be avoided through emotion recognition.
The second ability is complex and includes the ability to generate emotions to help you feel what others feel, to connect with them, and to develop emotional empathy for others. It also allows us to use our emotions deliberatively in order to enter into a mood state that alters the way we think. For example, a sad mood may facilitate the detection of errors. A happy mood may inspire us to generate a large number of new ideas.
Understanding the causes of our emotions and predicting how they might change based on various actions represents the third ability. Although emotions can often seem chaotic, they have rules. We are happy when we gain something of value, and we are sad when we lose something of value. What we value, of course, varies from person to person, but the underlying rules of emotions are fairly universal.
Finally, if we perceive emotions of others, feel what they feel, understand how they might react to an event, what do we do with these emotions? Without the ability to manage emotions, we might be easily overwhelmed. The last and perhaps most important ability is managing our own and others’ emotions.
Identifying that we are on a trajectory toward sadness or disappointment and understanding that such emotions will not facilitate the task at hand, we can be given suggestions on how to alter the emotions, prevent unwanted emotions, maintain our emotions, or enhance our emotions. In essence, positive-computing systems can help us develop our EI capabilities.
