Author: John P.Desmond, AI Trends Editor
The emotion recognition software segment is forecast to grow dramatically in the coming years, a success story for companies that have set up a shore-based market, while some who doubt its accuracy and fairness are raising red flags.
The global market for emotion detection and recognition is projected to grow to $ 37.1 billion by 2026, to an estimated $ 19.5 billion in 2020, according to a recent report. Markets and markets. North America is home to the largest market.
The software vendors covered by the report are: NEC Global (Japan), IBM (USA), Intel (USA), Microsoft (USA), Apple (USA), Gesturetek (Canada), Noldus Technology (Netherlands), Google (USA), Tobii (Sweden) ), Cognitec Systems (Germany), Cipia Vision Ltd (formerly Eyesight Technologies) (Israel), iMotions (Denmark), Numenta (USA), Elliptic Labs (Norway), Cairo (USA), PointGrab (USA), Affectiva (USA) , nViso (Switzerland), Beyond Verbal (Israel), Sightcorp (Netherlands), Crowd Emotion (UK), Eyeris (USA), Sentiance (Belgium), Sony Depthsense (Belgium), Ayonix (Japan) and Pyreos (UK) .
Among the users of emotion recognition software today, there are car manufacturers who use it to detect and identify sleepy drivers, whether the driver is connected or distracted.
Some doubt whether emotion recognition software is effective and whether its use is ethical. One research study was summarized recently in Sage diaries examines the assumption that facial expressions are a reliable indicator of emotional state.
“How people communicate about anger, disgust, fear, happiness, sadness, and surprise varies greatly between people in different cultures, situations, and even individual situations,” said a report by a team of researchers led by Northeast Lisa Lisa Feldman Barrett. University, Mass General Hospital and Harvard Medical School.
The research team suggests that further research is needed. “Our review suggests an urgent need for research that examines the way people are actually to move their faces to express emotions and other social information in the various contexts that make up everyday life, ”the report found.
Technology companies spend millions on projects to read emotions on their faces. “A more accurate description, however, is that such a technique detects facial movements, not emotional expressions,” the report’s authors noted.
Sweden’s Smart Eye acquires Affectiva for $ 73.5 million
The latest beneficiaries of the popularity of emotion recognition software are the founders of Affectiva, which recently agreed to acquire the Swedish company Smart Eye, which provides driver tracking systems to about a dozen automakers for $ 73.5 million in cash and stock.
The founders, Rana el Kaliouby, who had served as CEO, and Rosalind Picard, who heads MIT’s Affective Computing team, spun off Affectiva from MIT in 2009. Kaliouby wrote a book about her experience setting up Affectiva in the book, Girl decoded.
“When we watched the class of the driver control system evolve into an internal identification that followed the entire cabin, we quickly identified Affectiva as the most important player to consider.” Martin Eye, CEO and founder of Smart Eye, stated a Press release. “Affectiva’s pioneer in creating the Emotion AI has served as an effective platform to bring this technology to market on a scale,” he noted.
Affioiva CEO Kaliouby said: “Our technologies are not only complementary, but also our values, our team, our culture and perhaps our most important vision for the future.”
Some have called for government regulation of emotional intelligence software. Kate Crawford, senior lead research at Microsoft Research in New York and author of the book Atlas of artificial intelligence (Yale, 2021), wrote recently in Nature, “We can no longer allow emotion recognition techniques to remain unregulated. It is time to protect legislation from the unproven use of these tools in all areas – education, health care, work and criminal justice.”
The reason is that companies sell software that affects the opportunities available to individuals “without clearly documented, independently verified evidence of effectiveness,” Crawford noted. This includes judging job seekers based on their expressions or tone of voice and students flagged by the school because their faces may feel angry.
The science behind emotional recognition is increasingly being questioned. According to a recent report, a thousand studies have shown that tying facial expressions to emotions is not universal OneZero. According to the researchers, people made the expected look to match their mental state only 20-30% of the time.
Startup companies, including Find Solution AI, are basing their emotion recognition technology on the work of psychologist Paul Ekman, who published similarities in facial expressions around the world and recommended the concept of the “seven universal emotions”.
The work is challenged in the real world. According to applications from the government agency and the ACLU, the TSA program, which trained agents to detect terrorists through Ekman’s work, found little scientific basis, led to arrests, and promoted racial profiling.
Dr. Barrett’s research team concluded, “The scientific way forward begins with the explicit recognition that we feel much less about emotional expressions and emotional perceptions than we thought we would.”