Why you’re having a hard time reading your coworkers’ emotions lately

A critical way we maintain relationships is by being in tune with others—reading facial expressions, interpreting emotions, and responding. But this has been tough over the last year. We haven’t seen each other as much, so we may be out of practice. Moreover, mask mandates have been integral to public health but affected how we read emotions. The eyes may be the “windows of the soul,” but over the last year or so, we’ve learned, eye contact alone doesn’t tell the whole story.

This is to say communicating feels different when portions of our faces are covered. But in the same way we are coming back from the pandemic, we can also renew our appreciation for the facial expressions and body language signs that helped build relationships and rapport. In particular, smiling has intriguing implications. Challenges of reading emotions

Even in the best of circumstances, reading facial expressions is tough. Computer experts have even struggled to develop an algorithm that does it successfully. And despite the fact that facial responses are innate and automatic, the average person is often wrong about how they interpret expressions, or they are unaware of them. In addition, people interpret facial cues based on their own unique perspectives, which introduces even more variability into the process.

Our interpretation is also dulled when we can’t see a whole face. This is true when we’re wearing masks, but also when we’re wearing sunglasses and when we see faces from a distance or through a brief glance. A study by the University of Wisconsin found children struggled to identify expressions. When faces were covered with masks, they correctly identified sadness only about 28% of the time, anger 27%, and fear 18%. How to successfully sync up

Reading others’ expressions allows us to empathize and relate to the people around us. And human connection is critical to our well-being. We are hardwired to connect with others. In fact, a study by the Basque Centre on Cognition, Brain, and Language found when people were in conversations with others, their brain waves mirrored each other. In addition, we have an instinct to mimic facial expressions, which helps us experience and identify with others’ feelings, according to a research by the University of Wisconsin . We crave relationships, and seeing and interpreting signals from each other are important ways we form bonds.

There may also be a genetic component to the way we relate. According to research from Northwestern University , people’s ability to quickly recognize emotions was partly based on genetics, and those who recognized others’ emotions also expressed their own emotions more quickly; consequently, there is a reciprocal relationship between expressing and interpreting emotion. More research from University of Birmingham shows the […]

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Prof Narayanan's Research Teaches AI To Find Anyone's Emotional State By Voice

Prof Narayanan’s Research Teaches AI To Find Anyone’s Emotional State By Voice

Human voice is a rich medium with which we not only communicate our wants and needs and intent but it’s also a very special way of expressing our emotions and identity in emerging times where AI is increasingly becoming part of our lives, people want to use that to interact with other digital systems not only for transactional purposes, such as asking about weather, but more so as a social companion for elderly Human speech is rather special as it carries information about our intent, emotions, identity and several other data, like our health state A true AI system, therefore, should not only recognise the intonational properties of human speech, the words we speak and the way we interact but also take into account the nonverbal cues It’s almost like a painting, where we mix different basic colours to create a landscape with different possibilities.

Shrikanth Narayanan is a Professor at the University of Southern California and an interdisciplinary engineer-scientist with a focus on human-centered signal processing and machine intelligence as well as informatics with speech and spoken language processing at its core.

A prolific award-winning researcher, educator and inventor, with hundreds of publications to his credit, his work translates to using speech and audio to identify mental health and wellness issues, analyzing the health and stress level of workers and developing AI tools for understanding how stories are told in film and TV from a social lens. Flickr So sit back, plug in your headphones, tune in to your favourite lo-fi channel and read on this interesting conversation that we had with Professor Narayanan.

What do we understand about voice as a medium of communication in the age of AI?

Human voice is a rich medium with which we not only communicate our wants and needs and intent but it’s also a very special way of expressing our emotions and identity. And spoken language in humans is particularly remarkable. It allows us to easily communicate all our thoughts, ideas and desires through voice; and in emerging times where AI is increasingly becoming part of our lives, people want to use that to interact with other digital systems not only for transactional purposes, such as asking about weather, but more so as a social companion for elderly and learning systems for children. Representative image While today’s AI like Echo, Siri and Google Assistant does an outstanding job of word recognition and analysis, its dependence on speech alone is an inherent limitation–it, kind of, seems mechanical. When can we have an AI system that is truly capable of sensing and reacting to a user’s emotions?

Human speech is rather special as it carries information about our intent, emotions, identity and several […]

Continue reading the rest at www.indiatimes.com

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