InterFace: How You See Me
InterFace is an interactive tool which uses the facial expressions to detect the emotions and creates an additional layer of communication between the viewer and the wearer. When an emotion is detected on the wearer side, it is translated into a set of colors to be seen by the viewer who is also triggered by the colors that has a relatively universal meaning.
Abstract
The evolutionary development of human resulted in many features to create greater societies from extensive groups of people, ideally living in harmony with each other. One of the most influential features that bring us the ability to build and sustain these social structures is our ability to empathize with the other people around us. However, in modern societies, we are getting more and more apart from each other and lost in the rush of our modern-day problems. Our perception of social interactions gets trapped in a closer circle even though we are encountering many different faces even in one day of our lives. As those faces got blurry for us, the lifting effect of being social and sharing decays even more. The project evaluates the effects of emotions through facial expressions in the contexts of empathy and modern-day social structures.
The process of empathy starts with people imagining themselves in another person’s shoes and trying to form meaning out of it. This involves paying attention to their body language, facial expressions, tone of voice, and words, as well as considering their past experiences and current circumstances. Several experts think that mirror neurons, or at least a similar mechanism, play a role in some forms of basic empathy. Mirror neurons in the mouth and the ability to imitate facial expressions are likely the foundation for being in tune with others emotionally. While the embodiment of emotions does not cover all aspects of empathetic experience, it provides a straightforward explanation of how we may share emotions with others and how this skill could have evolved through evolution (Coudé & Ferrari, 2018).
Moreover, it is a naturally evolved survival mechanism to avoid an unwanted situation with the help of others around. According to the findings of Adams et al(2006), two studies suggest that there is accuracy in detecting movements in angry and fearful faces, either moving towards or away from the observer. They found that observers were quicker to correctly identify angry faces moving towards them, suggesting that anger displays convey the intent to approach. However, the results were not the same for fear faces, which may indicate that fear signals a "freeze" response rather than a behavior of fleeing. Therefore, translating the emotions of one party to another has an essential role in sharing “data” collected from the outer world sensed by human body receptors. Besides the expressions of emotion being a means of non-verbal communication, unlike the gestures that can change from culture to culture, they are also relatively universal. According to Ekman(1970), basic emotions have a pancultural nature in that they are identified and also expressed in similar ways in different cultures with the same facial muscle responses.
While the embodiment of emotions through facial expressions it is a means of communication with the outer world. However, it’s the distinction between vocal communications etc. not being self-reflective that people cannot see or feel the immediate effect of their actions. Rather it is moving to the other party to be evaluated and has its effect on them and that is where the reflection forms. So one person feels the emotion but the other one sees the facial expression. The viewer is the bridge to the outer world as well as the reflection of the inside.
To explore the nature of these interactions through facial expressions of emotions in a bigger picture and to disrupt the woven structure of daily life, InterFace pursues to create a space for emphasizing the power of these individual emotions becoming visible and vivid for the outside world.
Hardware and Software Systems Processes
Hardware System
Software System
Interactions
Video Walk
Discussions
- emotion detection with AI
- inclusivity, color blindness
References
Ekman, P. (1970). Universal Facial Expressions of Emotions. California Mental Health Research Digest, 8(4), 151-158.
Adams, R. B., Ambady, N., Macrae, C. N., & Kleck, R. E. (2006). Emotional expressions forecast approach-avoidance behavior. *Motivation and Emotion*, *30*(2), 177–186. https://doi.org/10.1007/s11031-006-9020-2
Ferrari, P. F., & Coudé, G. (2018). Mirror neurons, embodied emotions, and empathy. *Neuronal Correlates of Empathy*, 67–77. https://doi.org/10.1016/b978-0-12-805397-3.00006-1
DeepFace https://github.com/serengil/deepface
OpenCV https://opencv.org
early sensor experiments