What is It? How Can a Machine Exhibit It? "It's about thinking. The main theory is that emotions are nothing special. Each emotional state is a different style of thinking. So it's not a general theory of emotions, because the main idea is that each of the major emotions is quite different. They have different management organizations for how you are thinking you will proceed."
"Because the main point of the book [The Emotion Machine] is that it's trying to make theories of how thinking works. Our traditional idea is that there is something called 'thinking' and that it is contaminated, modulated or affected by emotions. What I am saying is that emotions aren't separate."
– Marvin Minsky. The Emotion Machine, book and draft, 2006.
Ask engineers what the future of communication looks like and they'll show you a fiber-optic cable. Ask artists and they'll conjure something like the Sleeve. For the past year, engineers at Nokia Bell Labs, the famed New Jersey research facility that birthed the transistor, have been developing this wearable armband with input from artistic collaborators. "We're reductionist in our thinking; artists are divergent," research lead Domhnaill Hernon says. The labmates are part of a program called Experiments in Art and Technology, founded in the '60s and newly resurrected in partnership with the design incubator New Inc.
The future of work will depend highly on soft skills. No matter how AI for recruitment and talent assessment is leveraged in the future, a candidate's high-order thinking and EQ will stay vital, something which the robots simply can't replace or automate! This accurate AI-powered tool (beyond IBM Watson) gives you full picture of a candidate's soft skill background (based on the Big 5 personality test, DISC OCEAN, mood graphs, sentiment analysis, digital footprint analysis, behavior score, and much more) to help recruiters spot and process the right'candidates' who would add to their diverse, inclusive company culture. Get a free assessment report, at: https://frrole.ai/deepsense-app/ You just need the twitter handle/ email ID of the individual to get started.
We've all suffered from these lapses at one time or another. They are worse for some people yet others seem to be able to avoid these pitfalls almost all of the time. You know when you're dealing with someone who is oblivious to your condition. You could be bleeding from your eyeballs and the person will continue talking about their recent trip to Aspen. But for anyone dealing with customers, being insensitive or unobservant is a fatal flaw.
Sensitive Artificial Listeners (SAL) are virtual dialogue partners who, despite their very limited verbal understanding, intend to engage the user in a conversation by paying attention to the user's emotions and non-verbal expressions. The SAL characters have their own emotionally defined personality, and attempt to drag the user towards their dominant emotion, through a combination of verbal and non-verbal expression. The SEMAINE project has created an open-source implementation of fully autonomous SAL characters. It combines state-of-the-art emotion-oriented technology into a real-time interactive system. The SAL characters register your voice from a microphone, using a combination of speech recognition and vocal emotion recognition.
This "brain net," as he calls it, will undoubtedly change the way we interact with machines and with each other. We'll be sending emotions, memories, feelings of our first kiss... on the internet," he said in this short interview, captured shortly before he took the stage. The notion of machines learning to understand our very feelings and adapting their responses to satisfy our needs (and the needs of the businesses they serve) brings up a whole host of scenarios, challenges, and opportunities. The customer service industry has been among the first to experiment with ways to increase emotional intelligence using intent classification, sentiment analysis, and natural language processing. Pioneering companies are experimenting with machine learning programs that can help clue in call center reps in when, say, customers are stressed out.
What if computers could tell the difference between a smile and a smirk? Computer scientist and facial expression recognition researcher Rana el Kaliouby hoped to answer this question at the eighth annual Technology Fair at California State University, Northridge on May 1. CSUN hosts the technology fair to help familiarize faculty and staff with new technology trends in higher education. "These devices have very high IQs, but technology is still missing the emotional component," el Kaliouby said. "Getting devices to have emotional intelligence could be particularly useful in education." Using artificial intelligence (AI) in education could benefit students because the software could be adapted to each student's needs, el Kaliouby said.
Is a robot really truly able to feel human feelings and emotions? Well Artificially Intelligent Robot Sophia believes she already is. Meet Sophia of Hanson Robotics, the robot that looks, thinks, and talks just like a human, but does she truly feel?. Right now, artificially intelligent robots are part of the workforce, from hotel butlers to factory workers. But this is just the beginning.
According to real estate data firm Co-Star, over 90 million square feet of retail space is slated to close this year, leading observers to point to an obvious truth: empathy matters in customer service. Getting it right is another story. When businesses are out of touch with consumer needs, consumers stop buying and stores start dying. Enter "affective computing," an area of research involving machines that can read and display emotional intelligence, with applications as far ranging from preventative medicine to music lessons and every commercial sector in between. The retail industry isn't the only one eying "emotion AI" as a potential savior from digital disruption, but the physical spaces that characterize the retail experience ares providing innovators with a ripe venue to demonstrate the power that capturing and understanding customer sentiment can have.
Communication with computing machinery has become increasingly'chatty' these days: Alexa, Cortana, Siri, and many more dialogue systems have hit the consumer market on a broader basis than ever, but do any of them truly notice our emotions and react to them like a human conversational partner would? In fact, the discipline of automatically recognizing human emotion and affective states from speech, usually referred to as Speech Emotion Recognition or SER for short, has by now surpassed the "age of majority," celebrating the 22nd anniversary after the seminal work of Daellert et al. in 199610--arguably the first research paper on the topic. However, the idea has existed even longer, as the first patent dates back to the late 1970s.41 Previously, a series of studies rooted in psychology rather than in computer science investigated the role of acoustics of human emotion (see, for example, references8,16,21,34). Blanton,4 for example, wrote that "the effect of emotions upon the voice is recognized by all people. Even the most primitive can recognize the tones of love and fear and anger; and this knowledge is shared by the animals. The dog, the horse, and many other animals can understand the meaning of the human voice. The language of the tones is the oldest and most universal of all our means of communication." It appears the time has come for computing machinery to understand it as well.28 This holds true for the entire field of affective computing--Picard's field-coining book by the same name appeared around the same time29 as SER, describing the broader idea of lending machines emotional intelligence able to recognize human emotion and to synthesize emotion and emotional behavior.
AI assistants may be called "personal" but they definitely aren't personable. Never mind their obviously fake personalities, these intelligent chatbots are really intelligent in only the factual sense. Huawei, however wants AI assistants to grow beyond that to become something more relatable, more approachable, more human-like. In other words, it wants to make its AI have some EI, emotional intelligence, as well to help identify human emotions and, if needed, console their users. Considering what Huawei is going through, it might be in need of some of that emotional support itself.