Affective Computing is the combination of emotional intelligence with artificial intelligence. The role of emotion in AI is coming increasingly into focus as we attempt to integrate robots, digital assistants, and automation into social contexts. Interaction with humanity always involves sentiment, as demonstrated by the growing understanding that self-driving vehicles need to understand and react to their emotional surroundings–such as responding to aggressive driving. Meanwhile, sentiment analysis is growing independently in marketing as companies vie to create emotional response to products and react to social media comments. Meanwhile, in the uneven understanding of this technology, some still separate human from cyber systems on the basis of emotion.
AI must use and respond to emotional cues. This must be considered a component of the thought process. Companies are now beginning to focus upon this area, and combine it with the other elements of AI to build a more responsive and human-interactive technology.
Following are a few videos explaining where Affective Computing is heading. These are under standard YouTube license, and the descriptive information is, as usual, provided from the video landing page with minor edits.
The Human Side of AI: Affective Computing (Intel Software)
Published on Feb 13, 2017
Affective Computing can make us aware of our emotional state, helping us take better decisions, can help us to help others, or help machines make decisions to enrich our lives. There is another exciting use for emotional data: Machine Learning. This is where data is collected so the machine refines its understanding, to ultimately better personalize your experiences.
Imagine if the environments where you live and interact could personalize your experience based on how you feel in that moment. Imagine being able to provide superior care-giving to elderly, children and people with limited abilities.
The introduction is provided below. Some additional videos:
Artificial Intelligence meets emotional intelligence – CEO Summit 2016 (Mindtree Ltd.)
With Artificial Intelligence (AI) gaining credence, Mindtree’s Chairman KK talks about the evolving roles of people and the importance of fostering emotional quotient (EQ) to remain relevant. He elaborates upon how Mindtree is helping its retail, finance, travel and hospitality clients reimagine customer service, the area most touched by AI and automation.
How Virtual Humans Learn Emotion and Social Intelligence (Tested )
Published on Aug 26, 2016
At USC ICT’s Virtual Humans lab, we learn how researchers build tools and algorithms that teach AI the complexities of social and emotional cues. We run through a few AI demos that demonstrate nuanced social interaction, which will be important for future systems like autonomous cars.
Shot by Joey Fameli and edited by Tywen Kelly
Music by Jinglepunks
Stanford Seminar: Buildings Machines That Understand and Shape Human Emotion (stanfordonline)
Published on Feb 3, 2017
Jonathan Gratch, Research Professor of Computer Science and Psychology at the University of Southern California (USC)
Affective Computing is the field of research directed at creating technology that recognizes, interprets, simulates and stimulates human emotion. In this talk, I will broadly overview my fifteen years of effort in advancing this nascent field, and emphasize the rich interdisciplinary connections between computational and scientific approaches to emotion. I will touch on several broad questions: Can a machine understand human emotion? To what end? Can a machine “have” emotion, and how would this impact the humans that interact with them? I will address these questions in the context of several domains, including healthcare, economic decision-making and interpersonal-skills training. I will discuss the consequences of these findings for theories of intelligence (i.e., what function does emotion serve in human intelligence and could this benefit machines?) as well as their practical implications for human-computer, computer-mediated and human-robot interaction. Throughout, I will argue the need for an interdisciplinary partnership between the social and computational sciences around to topic of emotion.