Written by Venkatesh Ramamrat
Navarasa means nine emotions; rasa means an emotional state of mind. Nine emotions are Shringara (love/beauty), Hasya (laughter), Karuna(sorrow), Raudra (anger), Veera (heroism/courage), Bhayanaka (terror/fear), Bibhatsa (disgust), Adbutha (surprise/wonder), Shantha (peace or tranquility).
After watching a series of the same name on Netflix, I began to ponder deeper into the concept of emotion and since we at Wranga, study deeply the effects of technology on children, it became a very crucial thought of how we could understand feelings with AI.
In the context of human-computer interaction, a modality is the classification of a single independent channel of sensory input/output between a computer and a human. A system is designated unimodal if it has only one modality implemented, and multimodal if it has more than one. Modalities can be generally defined in two forms: human-computer and computer-human modalities.
Computers utilize a wide range of technologies to communicate and send information to humans. Common Modalities include Cision, Audition, and taction, whereas more complex modalities include taste, smell, heat, pain, and balance.
Computers can be equipped with various types of input devices and sensors to allow them to receive information from humans. Certain modalities can provide a richer interaction depending on the context, and having options for implementation allows for more robust systems.
Simple modalities include Keyboard, Pointing device, and Touchscreen whereas complex modalities include Computer vision, Speech recognition, Motion, Orientation, and a very recent Emotion.
Emotion recognition is the process of identifying human emotion. People vary widely in their accuracy at recognizing the emotions of others. The use of technology to help people with emotion recognition is a relatively nascent research area.
Very interesting research by HUME AI
The research defines 27 emotions: admiration, adoration, aesthetic appreciation, amusement, anger, anxiety, awe, awkwardness, boredom, calmness, confusion, craving, disgust, empathic pain, entrancement, excitement, fear, horror, interest, joy, nostalgia, relief, romance, sadness, satisfaction, sexual desire, surprise.
Watch this Interactive Map
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human effects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as early philosophical inquiries into emotion, the more modern branch of computer science originated with Rosalind Picard's 1995 paper on affective computing and her book Affective Computing published by MIT Press.
Emotive Internet is a conceptualization of the Internet as an emergent emotional public space, such as how it serves as a space for the social sharing of emotions. It can also denote the quality of the Internet that allows it to be used to communicate in an emotive fashion or with emotional intent. Since it is an expressive medium, it also enables users to construct and represent their identities online. This is evident in the way emotional responses have been integrated with online communication and interactions.
The concept is also linked to emotional analytics and emotion-sensing applications, particularly those technologies that power the Internet of Things (IoT) - the smart home devices that can store and process the user's emotional profile to deliver services.
Emotional AI refers to technologies that use affective computing and artificial intelligence techniques to sense, learn about and interact with human emotional life. It is a weak form of AI in that these technologies aim to read and react to emotions through text, voice, computer vision, biometric sensing, and, potentially, information about a person’s context.
While the effectiveness of current methods is highly debatable, we believe that the use of human-state measurement to engage with qualitative dimensions of human life is still in its infancy. The following techniques are used to try to sense and discern people’s states, emotions, and expressions:
Emotion AI and Children
Children exercise their social skills in 5 Social and Emotional Learning areas: