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Got 20 minutes? Be part of this coronavirus relationships study.
How does the COVID-19 pandemic affect relationships? One study aims to find out. If you have 20 minutes, take the survey!
- Psychology researchers are looking for people to participate in study about relationships during the coronavirus epidemic.
- Anyone—regardless of sexual orientation or relationship commitment—can participate in the 20-minute survey here.
- After the initial survey, there will be two 5-10 minutes follow-up assessments at 10-day intervals, and one final 10 to 15 minute assessment in six months time.
Want to participate in a coronavirus study that doesn't require any prodding and poking?
Researchers from the psychology department at the University of Innsbruck, Austria, are collecting data on how the COVID-19 pandemic affects relationships. The main objective of the study is to examine factors that help or hurt couples during this period relative to normal times, ranging from the physical living space, job situation, the division of labor in the couple, to partners' personality factors and levels of aggression. "There is much discussion about such questions these days but little data—a gap we hope to help closing with our study," says Dr. Marcel Zentner, Professor of Psychology at the University of Innsbruck. "Eventually, we expect our findings to be used to improve prevention and intervention methods for couples and families that are struggling during unusually stressful periods like these."
What does the study involve?
According to the study website, there will be 4 quick assessments, described as below:
- In the first assessment we will ask you to complete some questionnaires about your relationship, how you cope with the current situation. It will also include some questions about yourself, your way of reacting and coping in general, because these factors are known to influence our close relationships. This first questionnaire will take about 20 minutes.
- In the second and third assessments (at 10-day intervals), we will ask you to complete a small portion of the previous questionnaires about your current relationship situation, relationship satisfaction, and levels of strain. They will take about 5-10 minutes.
- In a follow-up assessment (after 6 months) we will ask you to answer some final questions about how your relationship has evolved. This will take approximately 10 to 15 minutes.
Bonus: It's for a good cause
Beyond the thrill of participating in scientific research, there's another good reason to participate. The University of Innsbruck, Austria, will donate 50 Euro to child protection charity SOS Children's Villages for every 100 participants.
If you want to be part of the study, take the survey here and find more information here.
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How New York's largest hospital system is predicting COVID-19 spikes
Northwell Health is using insights from website traffic to forecast COVID-19 hospitalizations two weeks in the future.
14 January, 2021
Credit: Getty Images
Sponsored by Northwell Health
- The machine-learning algorithm works by analyzing the online behavior of visitors to the Northwell Health website and comparing that data to future COVID-19 hospitalizations.
- The tool, which uses anonymized data, has so far predicted hospitalizations with an accuracy rate of 80 percent.
- Machine-learning tools are helping health-care professionals worldwide better constrain and treat COVID-19.
<p>One of the most devastating aspects of the COVID-19 pandemic has been unpredictability. The nation's health systems—especially those in hard-hit areas like New York City—have had to adapt to sudden surges of COVID-19 cases, all while dealing with limited resources, existing patients, and a novel virus that's still not fully understood.</p><p>But what if health systems were able to forecast COVID-19 hospitalizations two weeks before they occur? Northwell Health, the largest health care system in New York state, recently deployed a predictive tool that does just that.</p><p>Northwell Health's <a href="https://www.northwell.edu/northwell-website-patterns-predict-covid-19-cases" target="_blank">surveillance dashboard</a> is able to predict COVID-19 hospitalizations by using insights from machine learning. In March, Northwell Health's Customer Insights Group developed an algorithm that's been mining data from online traffic to the Northwell.edu website, which has received more than 20 million hits since March.<strong></strong></p><p>The algorithm collects data through 15 different indicators, each of which reflects the online behavior of the website's visitors. For example, the tool analyzes metrics such as the length of time users spend on certain pages, searches for emergency department wait times, and specific symptoms users search for. Combined, this information translates into something like the "public mood" of the website on any given day.</p>
<blockquote>Since Northwell Health began using the predictive tool in September, it's predicted COVID-19 hospitalizations with an accuracy of about 80 percent.</blockquote>
<p>To understand how this mood relates to future COVID-19 cases, Northwell Health began comparing its data with a timeline of COVID-19 hospitalizations across 23 hospitals and nearly 800 outpatient facilities and in the metro New York area. This enabled the Customer Insights Group to see patterns of online activity that precede future increases or decreases in hospitalizations.</p><p>Since Northwell Health began using the predictive tool in September, it's predicted COVID-19 hospitalizations with an accuracy of about 80 percent.</p><p>"This is really the first tool that I've been exposed to that gives me a sort of guestimate of what two weeks from now may look like," said Dr. <a href="https://www.northwell.edu/find-care/find-a-doctor/emergency-medicine/dr-eric-scott-cruzen-md-mba-11346068" target="_blank" rel="noopener noreferrer">Eric Cruzen, </a>chief medical informatics officer of Northwell's emergency medicine services and chair of the emergency department at Lenox Health Greenwich Village in Manhattan.</p><p>"Even if the data can provide an idea of whether to expect an increase, decrease, or stasis, that's valuable. Because every day we're working to estimate what tomorrow's going to bring. Any tool that's going to shed light on that is a good tool in my book."</p>
The value of forecasting
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTA0Njk2OC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyMzM2NDQzOH0.rid9regiDaKczCCKBsu7wrHkNQ64Vz_XcOEZIzAhzgM/img.jpg?width=980" id="2bb93" class="rm-shortcode" data-rm-shortcode-id="31345afbdf2bd408fd3e9f31520c445a" data-rm-shortcode-name="rebelmouse-image" data-width="1546" data-height="1056" />Northwell emergency departments use the dashboard to monitor in real time.
Credit: Northwell Health
<p>One unique benefit of forecasting COVID-19 hospitalizations is that it allows health systems to better prepare, manage and allocate resources. For example, if the tool forecasted a surge in COVID-19 hospitalizations in two weeks, Northwell Health could begin:</p><ul><li>Making space for an influx of patients</li><li>Moving personal protective equipment to where it's most needed</li><li>Strategically allocating staff during the predicted surge</li><li>Increasing the number of tests offered to asymptomatic patients</li></ul><p>The health-care field is increasingly using machine learning. It's already helping doctors develop <a href="https://care.diabetesjournals.org/content/early/2020/06/09/dc19-1870" target="_blank">personalized care plans for diabetes patients</a>, improving cancer screening techniques, and enabling mental health professionals to better predict which patients are at <a href="https://healthitanalytics.com/news/ehr-data-fuels-accurate-predictive-analytics-for-suicide-risk" target="_blank" rel="noopener noreferrer">elevated risk of suicide</a>, to name a few applications.</p><p>Health systems around the world have already begun exploring how <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315944/" target="_blank" rel="noopener noreferrer">machine learning can help battle the pandemic</a>, including better COVID-19 screening, diagnosis, contact tracing, and drug and vaccine development.</p><p>Cruzen said these kinds of tools represent a shift in how health systems can tackle a wide variety of problems.</p><p>"Health care has always used the past to predict the future, but not in this mathematical way," Cruzen said. "I think [Northwell Health's new predictive tool] really is a great first example of how we should be attacking a lot of things as we go forward."</p>Making machine-learning tools openly accessible
<p>Northwell Health has made its predictive tool <a href="https://github.com/northwell-health/covid-web-data-predictor" target="_blank">available for free</a> to any health system that wishes to utilize it.</p><p>"COVID is everybody's problem, and I think developing tools that can be used to help others is sort of why people go into health care," Dr. Cruzen said. "It was really consistent with our mission."</p><p>Open collaboration is something the world's governments and health systems should be striving for during the pandemic, said Michael Dowling, Northwell Health's president and CEO.</p><p>"Whenever you develop anything and somebody else gets it, they improve it and they continue to make it better," Dowling said. "As a country, we lack data. I believe very, very strongly that we should have been and should be now working with other countries, including China, including the European Union, including England and others to figure out how to develop a health surveillance system so you can anticipate way in advance when these things are going to occur."</p><p>In all, Northwell Health has treated more than 112,000 COVID patients. During the pandemic, Dowling said he's seen an outpouring of goodwill, collaboration, and sacrifice from the community and the tens of thousands of staff who work across Northwell.</p><p>"COVID has changed our perspective on everything—and not just those of us in health care, because it has disrupted everybody's life," Dowling said. "It has demonstrated the value of community, how we help one another."</p>
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Listen: Scientists re-create voice of 3,000-year-old Egyptian mummy
Scientists used CT scanning and 3D-printing technology to re-create the voice of Nesyamun, an ancient Egyptian priest.
24 January, 2020
Surprising Science
- Scientists printed a 3D replica of the vocal tract of Nesyamun, an Egyptian priest whose mummified corpse has been on display in the UK for two centuries.
- With the help of an electronic device, the reproduced voice is able to "speak" a vowel noise.
- The team behind the "Voices of the Past" project suggest reproducing ancient voices could make museum experiences more dynamic.
<p><br></p></div>
<p>Scientists have reproduced the voice of an ancient Egyptian priest by creating a 3D-printed replica of his mummified vocal tract.</p><p>An international and interdisciplinary team, led by David Howard, a professor of electronic engineering at Royal Holloway, used computed tomography (CT) scanning technology to measure the dimensions of the vocal tract of Nesyamun, a mummy that's spent about two centuries on display at Leeds City Museum in the United Kingdom. </p><p>The team then used those measurements to 3D-print an artificial vocal tract, through which they produced sounds using a peculiar electronic device called the Vocal Tract Organ. (You can check it out <a href="https://youtu.be/pUryWk-s9Ig" target="_blank">here</a>.)</p><p style="margin-left: 20px;">"The Vocal Tract Organ, a first in its own right, provided the inspiration for doing this," Howard told <a href="https://www.youtube.com/watch?v=pUryWk-s9Ig" target="_blank"><em>CNET</em></a>. </p><p>Nesyamun, whose priestly duties included chanting and singing the daily liturgy, can once again "speak" — at least, in the form of a vowel noise that sounds something like a cross between the English pronunciation of the vowels in "bed" and "bad."</p>
<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="5f1337a403dd2636b1b81207c9e8f648"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/94KBXL4D3p4?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>Of course, the new "voice" of Nesyamun is an approximation, and given the lack of actual recordings of his voice, and the degeneration of his body over millennia, it's impossible to know just how accurate it is. But the researchers suggested that their "Voice from the Past" project offers a chance for people to "engage with the past in completely new and innovative ways."</p>
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yMjYwNDIzMS9vcmlnaW4ucG5nIiwiZXhwaXJlc19hdCI6MTY0NDA2MTQ5OH0.sNAamCw1a70ynZafRcdmWHpgEN-jW6yULPu6zgGqIDc/img.png?width=980" id="664a9" class="rm-shortcode" data-rm-shortcode-id="c7366f82a61f16d0d3b2989d803fb3ce" data-rm-shortcode-name="rebelmouse-image" />
Howard et al.
<p style="margin-left: 20px;">"While this approach has wide implications for heritage management/museum display, its relevance conforms exactly to the ancient Egyptians' fundamental belief that 'to speak the name of the dead is to make them live again'," they wrote in a <a href="https://www.nature.com/articles/s41598-019-56316-y#Fig3" target="_blank">paper</a> published in Nature Scientific Reports. "Given Nesyamun's stated desire to have his voice heard in the afterlife in order to live forever, the fulfilment of his beliefs through the synthesis of his vocal function allows us to make direct contact with ancient Egypt by listening to a sound from a vocal tract that has not been heard for over 3000 years, preserved through mummification and now restored through this new technique."</p>Connecting modern people with history
<p>It's not the first time scientists have "re-created" an ancient human's voice. In 2016, for example, Italian researchers used software to <a href="https://www.smithsonianmag.com/smart-news/hear-recreated-voice-otzi-iceman-180960570/" target="_blank">reconstruct the voice of Ötzi,</a> an iceman who was discovered in 1991 and is thought to have died more than 5,000 years ago. But the "Voices of the Past" project is different, the researchers note, because Nesyamun's mummified corpse is especially well preserved.</p><p style="margin-left: 20px;">"It was particularly suited, given its age and preservation [of its soft tissues], which is unusual," Howard told <em><a href="https://www.livescience.com/amp/ancient-egypt-mummy-voice-reconstructed.html" target="_blank">Live Science</a>.</em></p><p>As to whether Nesyamun's reconstructed voice will ever be able to speak complete sentences, Howard told <em><a href="https://abcnews.go.com/Weird/wireStory/ancient-voice-scientists-recreate-sound-egyptian-mummy-68482015" target="_blank">The Associated Press</a>, </em>that it's "something that is being worked on, so it will be possible one day."</p><p>John Schofield, an archaeologist at the University of York, said that reproducing voices from history can make museum experiences "more multidimensional."</p><p style="margin-left: 20px;">"There is nothing more personal than someone's voice," he told <em>The Associated Press.</em> "So we think that hearing a voice from so long ago will be an unforgettable experience, making heritage places like Karnak, Nesyamun's temple, come alive."</p>
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Dark matter axions possibly found near Magnificent 7 neutron stars
A new study proposes mysterious axions may be found in X-rays coming from a cluster of neutron stars.
16 January, 2021
A rendering of the XMM-Newton (X-ray multi-mirror mission) space telescope.
Credit: D. Ducros; ESA/XMM-Newton, CC BY-SA 3.0 IGO
Surprising Science
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<p>A study tantalizingly promises a possible location for new elementary particles called axions, which may also constitute the elusive dark matter. A team led by a theoretical physicist from <span style="background-color: initial;">the U.S. Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab)</span> has pinpointed axions as the potential source of the high-energy X-rays coming out of a cluster of neutron stars called the Magnificent Seven.</p><p>Axions were first theorized as fundamental particles as far back as the 1970s but have yet to be directly observed. In a fun fact, the idea for the name "axion" came to the theoretical physicist Frank Wilczek from a laundry detergent brand. If they exist, they'd be produced in the core of stars, converting into photons (particles of light) upon encountering electromagnetic fields. Axions would likely have small masses and come into contact with other matter quite rarely and in a way that's hard to detect. </p><p>They may also be responsible for dark matter, which could comprise about 85% of the known universe but is also yet to be seen. We think we know about it from its gravitational effects. If axions are real, they could account for this "missing" mass of the universe. Astronomical observations tell us that visible matter, including all the galaxies with their stars, planets, and everything else we can conceive of in space is still <em>less than one sixth</em> of the total mass of all of the universe's matter. Dark matter is thought to be making up the rest. So finding it and finding axions could be transformative for our understanding of how the universe really works.</p>
<p>The new paper from Berkeley Lab proposes that the Magnificent Seven, a group of neutron stars that's hundreds of light-years away (but relatively not so far), may be a perfect candidate for locating the axions. These stars, coming into existence as the collapsed cores of massive supergiant stars, have very strong magnetic fields and feature an abundance of X-rays. They are also not pulsars, which give off radiation at varying wavelengths and would likely obscure the X-ray signature the researchers spotted.<br></p><p>The study utilized data from the European Space Agency's XMM-Newton and NASA's Chandra X-ray telescopes to discover high levels of X-ray emissions from the neutron stars.</p><p>Benjamin Safdi, from the Berkeley Lab Physics Division theory group which led the study, said they aren't saying yet they found the axions but are feeling confident the Magnificent Seven X-rays are a fruitful place to look.</p><p style="margin-left: 20px;">"We are pretty confident this excess exists, and very confident there's something new among this excess," Safdi said. "If we were 100% sure that what we are seeing is a new particle, that would be huge. That would be revolutionary in physics." </p>
Are Axions Dark Matter?
<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="5e35ce24a5b17102bfce5ae6aecc7c14"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/e7yXqF32Yvw?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>Postdoctoral researcher Raymond Co from the University of Minnesota, who was also involved in the study, <a href="https://phys.org/news/2021-01-x-rays-magnificent-sought-after-particle.html" target="_blank">confirmed</a> that "It is an exciting discovery of the excess in the X-ray photons, and it's an exciting possibility that's already consistent with our interpretation of axions."</p><p>Building upon this research, the scientists also plan to use space telescopes like <a href="https://www.nasa.gov/mission_pages/nustar/main/index.html" target="_blank">NuStar</a> to focus on the X-ray excesses as well as to examine white dwarf stars, which also have strong magnetic fields, making them another possible location for the axions. "This starts to be pretty compelling that this is something beyond the Standard Model if we see an X-ray excess there, too," <a href="https://newscenter.lbl.gov/2021/01/15/study-x-rays-surrounding-magnificent-7-may-be-traces-of-sought-after-particle/" target="_blank">said</a> Safdi.</p>
<p><span style="background-color: initial;">Besides Berkeley Lab, the current study also involved support from </span><span style="background-color: initial;">the University of Michigan, the National Science Foundation, the Mainz Institute for Theoretical Physics, the Munich Institute for Astro- and Particle Physics (MIAPP), and the CERN Theory department.</span></p><p>Check out the study published in <a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.021102" target="_blank">Physical Review Letters.</a></p>
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Put on a happy face? “Deep acting” associated with improved work life
New research suggests you can't fake your emotional state to improve your work life — you have to feel it.
15 January, 2021
Credit: Columbia Pictures
Personal Growth
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<p>In the film adaptation of "<a href="https://www.imdb.com/title/tt0056891/?ref_=fn_al_tt_1" target="_blank">Bye Bye Birdie"</a> (1963), Dick Van Dyke sings to a dour Janet Leigh to simply put on a happy face. "Wipe off that 'full of doubt' look, / Slap on a happy grin! / And spread sunshine all over the place[…]." This classic—if admittedly hokey—ditty it seems has become the mantra of our "service with a smile" corporate culture. And it may actually be good advice. </p><p>New research suggests that putting on a happy face reduces fatigue at work and improves our relationships, but only if we employ "deep acting" strategies over "surface acting" ones to regulate those emotions. </p>
What is deep acting?
<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTQ1NDk2OS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxNTY5MzA0Nn0._s7aP25Es1CInq51pbzGrUj3GtOIRWBHZxCBFnbyXY8/img.jpg?width=1245&coordinates=333%2C-1%2C333%2C-1&height=700" id="ddf09" class="rm-shortcode" data-rm-shortcode-id="9dc42c4d6a8e372ad7b72907b46ecd3f" data-rm-shortcode-name="rebelmouse-image" data-width="1245" data-height="700" />Arlie Russell Hochschild (pictured) laid out the concept of emotional labor in her 1983 book, "The Managed Heart."
Credit: Wikimedia Commons
<p>Deep and surface acting are the principal components of emotional labor, a buzz phrase you have likely seen flitting about the Twittersphere. Today, "<a href="https://www.bbc.co.uk/bbcthree/article/5ea9f140-f722-4214-bb57-8b84f9418a7e" target="_blank">emotional labor</a>" has been adopted by groups as diverse as family counselors, academic feminists, and corporate CEOs, and each has redefined it with a patented spin. But while the phrase has splintered into a smorgasbord of pop-psychological arguments, its initial usage was more specific.</p><p>First coined by sociologist Arlie Russell Hochschild in her 1983 book, "<a href="https://www.ucpress.edu/book/9780520272941/the-managed-heart" target="_blank">The Managed Heart</a>," emotional labor describes the work we do to regulate our emotions on the job. Hochschild's go-to example is the flight attendant, who is tasked with being "nicer than natural" to enhance the customer experience. While at work, flight attendants are expected to smile and be exceedingly helpful even if they are wrestling with personal issues, the passengers are rude, and that one kid just upchucked down the center aisle. Hochschild's counterpart to the flight attendant is the bill collector, who must instead be "nastier than natural."</p><p>Such personas may serve an organization's mission or commercial interests, but if they cause emotional dissonance, they can potentially lead to high emotional costs for the employee—bringing us back to deep and surface acting.</p><p>Deep acting is the process by which people modify their emotions to match their expected role. Deep actors still encounter the negative emotions, but they devise ways to <a href="http://www.selfinjury.bctr.cornell.edu/perch/resources/what-is-emotion-regulationsinfo-brief.pdf" target="_blank">regulate those emotions</a> and return to the desired state. Flight attendants may modify their internal state by talking through harsh emotions (say, with a coworker), focusing on life's benefits (next stop Paris!), physically expressing their desired emotion (smiling and deep breaths), or recontextualizing an inauspicious situation (not the kid's fault he got sick).</p><p>Conversely, surface acting occurs when employees display ersatz emotions to match those expected by their role. These actors are the waiters who smile despite being crushed by the stress of a dinner rush. They are the CEOs who wear a confident swagger despite feelings of inauthenticity. And they are the bouncers who must maintain a steely edge despite humming show tunes in their heart of hearts.</p><p>As we'll see in the research, surface acting can degrade our mental well-being. This deterioration can be especially true of people who must contend with negative emotions or situations inside while displaying an elated mood outside. Hochschild argues such emotional labor can lead to exhaustion and self-estrangement—that is, surface actors erect a bulwark against anger, fear, and stress, but that disconnect estranges them from the emotions that allow them to connect with others and live fulfilling lives.</p>Don't fake it till you make it
<p>Most studies on emotional labor have focused on customer service for the obvious reason that such jobs prescribe emotional states—service with a smile or, if you're in the bouncing business, a scowl. But <a href="https://eller.arizona.edu/people/allison-s-gabriel" target="_blank">Allison Gabriel</a>, associate professor of management and organizations at the University of Arizona's Eller College of Management, wanted to explore how employees used emotional labor strategies in their intra-office interactions and which strategies proved most beneficial.</p><p>"What we wanted to know is whether people choose to engage in emotion regulation when interacting with their co-workers, why they choose to regulate their emotions if there is no formal rule requiring them to do so, and what benefits, if any, they get out of this effort," Gabriel said in <a href="https://www.sciencedaily.com/releases/2020/01/200117162703.htm" target="_blank">a press release</a>.</p><p>Across three studies, she and her colleagues surveyed more than 2,500 full-time employees on their emotional regulation with coworkers. The survey asked participants to agree or disagree with statements such as "I try to experience the emotions that I show to my coworkers" or "I fake a good mood when interacting with my coworkers." Other statements gauged the outcomes of such strategies—for example, "I feel emotionally drained at work." Participants were drawn from industries as varied as education, engineering, and financial services.</p><p>The results, <a href="https://psycnet.apa.org/doiLanding?doi=10.1037%2Fapl0000473" target="_blank" rel="noopener noreferrer">published in the Journal of Applied Psychology</a>, revealed four different emotional strategies. "Deep actors" engaged in high levels of deep acting; "low actors" leaned more heavily on surface acting. Meanwhile, "non-actors" engaged in negligible amounts of emotional labor, while "regulators" switched between both. The survey also revealed two drivers for such strategies: prosocial and impression management motives. The former aimed to cultivate positive relationships, the latter to present a positive front.</p><p>The researchers found deep actors were driven by prosocial motives and enjoyed advantages from their strategy of choice. These actors reported lower levels of fatigue, fewer feelings of inauthenticity, improved coworker trust, and advanced progress toward career goals. </p><p>As Gabriel told <a href="https://www.psypost.org/2021/01/new-psychology-research-suggests-deep-acting-can-reduce-fatigue-and-improve-your-work-life-59081" target="_blank" rel="noopener noreferrer">PsyPost in an interview</a>: "So, it's a win-win-win in terms of feeling good, performing well, and having positive coworker interactions."</p><p>Non-actors did not report the emotional exhaustion of their low-actor peers, but they also didn't enjoy the social gains of the deep actors. Finally, the regulators showed that the flip-flopping between surface and deep acting drained emotional reserves and strained office relationships.</p><p>"I think the 'fake it until you make it' idea suggests a survival tactic at work," Gabriel noted. "Maybe plastering on a smile to simply get out of an interaction is easier in the short run, but long term, it will undermine efforts to improve your health and the relationships you have at work. </p><p>"It all boils down to, 'Let's be nice to each other.' Not only will people feel better, but people's performance and social relationships can also improve."</p>You'll be glad ya' decided to smile
<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="88a0a6a8d1c1abfcf7b1aca8e71247c6"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/QOSgpq9EGSw?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>But as with any research that relies on self-reported data, there are confounders here to untangle. Even during anonymous studies, participants may select socially acceptable answers over honest ones. They may further interpret their goal progress and coworker interactions more favorably than is accurate. And certain work conditions may not produce the same effects, such as toxic work environments or those that require employees to project negative emotions.</p><p>There also remains the question of the causal mechanism. If surface acting—or switching between surface and deep acting—is more mentally taxing than genuinely feeling an emotion, then what physiological process causes this fatigue? <a href="https://www.frontiersin.org/articles/10.3389/fnhum.2019.00151/full" target="_blank">One study published in the <em>Frontiers in Human Neuroscience</em></a><em> </em>measured hemoglobin density in participants' brains using an fNIRS while they expressed emotions facially. The researchers found no significant difference in energy consumed in the prefrontal cortex by those asked to deep act or surface act (though, this study too is limited by a lack of real-life task).<br></p><p>With that said, Gabriel's studies reinforce much of the current research on emotional labor. <a href="https://journals.sagepub.com/doi/abs/10.1177/2041386611417746" target="_blank">A 2011 meta-analysis</a> found that "discordant emotional labor states" (read: surface acting) were associated with harmful effects on well-being and performance. The analysis found no such consequences for deep acting. <a href="https://doi.apa.org/doiLanding?doi=10.1037%2Fa0022876" target="_blank" rel="noopener noreferrer">Another meta-analysis</a> found an association between surface acting and impaired well-being, job attitudes, and performance outcomes. Conversely, deep acting was associated with improved emotional performance.</p><p>So, although there's still much to learn on the emotional labor front, it seems Van Dyke's advice to a Leigh was half correct. We should put on a happy face, but it will <a href="https://bigthink.com/design-for-good/everything-you-should-know-about-happiness-in-one-infographic" target="_self">only help if we can feel it</a>.</p>
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