Phaceology Tech is all about emerging technologies that help link employee / company performance to your bottom line. Facial Recognition, Emotion Recognition. Imagine if you could measure your individual and teams’ performance in real time to see how they are affecting the guest experience.


Is Emotion Tracking the Next Big Thing?

Is Emotion Tracking the Next Big Thing? It seems we’re entering the age of emotion tracking. There’s been some activity in facial tracking and emotion recognition for a while. Particularly in advertising. But it’s never really been on a consumer level. Until now…

Written by Cate Trotter

Imagine if retailers had access to emotional data for every customer. How could they respond? If a customer entered the store feeling stressed, it could be that they are in a hurry or need something urgently. The retailer could recognize that emotion and send an assistant over to help them get what they need quickly. If a customer came in feeling sad, the retailer could send them a personalized offer to try and lift their mood. If a customer is tired they could open up another till or send an assistant over with a mobile POS system to stop them waiting around in-store. And if a customer is already happy it could be the perfect time to show them a new product they might like.

Or it might be that a retailer can recognize how a customer’s mood changes as they travel around the store. If they become annoyed when looking at a certain item it could be that it’s not in their size. This presents an opportunity for the retailer to send an assistant over who could offer to order the item in or transfer it from another store. Or the retailer could send an email to the customer enabling them to order that item online.

This also works if the customer grows happy in certain parts of the store. Retailers can pinpoint the products that lifted their mood and suggest other items they might like. It could provide insights into the ranges that people want to see and those they don’t.

Or it may be able to show retailers what works when it comes to store design. What are customers responding to – whether in a good or bad way? And it could help them know exactly when pressure points such as queuing start to impact on customer moods. How long a wait is too long?

Within a shopping centre or area with lots of stores, retailers could use emotion tracking to direct customers towards them. For example, if the customer seems to be tired a nearby coffee chain could ping them an offer or remind them they have their favorite product available.

Of course having access to the data is one thing. Customers would need to choose to share the data with retailers. The highly personal nature of data is one barrier to sharing it. Customers would need to see an extremely strong benefit in doing so.

Likewise, the thing missing from emotion tracking is context, which is key to understanding why customers feel the way they do at any particular time. As mentioned, facial recognition is an area that has been connected to emotion tracking for some time. And just this year Apple bought Emotient, an AI start-up that reads emotions by analyzing facial expressions, showing even tech giants are looking at the space. This area could lead into analyzing body language as well.

It could easily be incorporated into in-store mirrors and digital displays to let retailers track how customers respond to what they see. In turn this could help retailers change their adverts to resonate with certain groups of customers.

There could even be scope for retailers to provide in-store emotion trackers that customers can wear while they shop. They could then analyze the data and help guide customers on their purchases. For example, when clothes shopping they could see which colors or styles made the customer happier.

With so many potential applications, emotion tracking could be a key element of future retailing. After all, the role they already play in many purchases shouldn’t be ignored. And it may not be that long before retailers can harness them as well.

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Phaceology Wins Spot in the Marriott Test Bed!

Phaceology Wins Spot in the Marriott Test Bed!

CONGRATS TO PHACEOLOGY!  Phaceology has been invited to the Marriott Testbed shortlist for 2017 in London England. This is such a huge honor, and our feedback from Marriott is how enthused they are about the Phaceology platform to help them score their guest and employee interactions. Phaceology earned a spot at the premier event by beating out about 200 other applicants. Marriott Test Bed is officially tasked with finding and testing the most preeminent technologies with an eye on improving customer experience throughout the brand. Marriott prides itself on it’s innovative thinking.

“We’ve learned the power of ‘open innovation’ and the (mutual) benefits of connecting brands with disruptive startups and fostering strong collaboration between them,” Guy Kedar, Head of Innovation at MEC. Guy Kedar helps brands develop transformative customer experiences that are grounded in consumer insights and that leverage data, tech and content.

Marriott Hotels are excited to announce the 8 start-ups shortlisted for TestBED 2017.

Nearly 200 businesses applied for the program and each feature innovative solutions and technologies. But, alas, only eight companies could make the final cut. Those highly innovative teams which submitted game-changing technologies are officially invited to London to pitch their products in front of a panel of judges.  The judges will decide which startups will enter the TestBED program and pilot their products in one of the Marriott Hotels in Europe.  They are a pretty impressive lineup of opportunities for Marriott to improve its customer experience.

The shortlisted start-ups are:

Reward technology

My Brain Technologies








Emotion Recognition Like Phaceology in Retail – the Next Big Thing?

Is Emotion Recognition Like Phaceology in Retail the Next Big Thing?


Remember the memory-erasing Neuralyzer in “Men in Black”? Or more recently, “Ex Machina,” the Oscar-winning story of a humanoid robot that uses emotional persuasion to outsmart humans and escape from the secluded home of its creator? While movies have been envisioning crazy, new technology for decades, some of those inventions are starting to become reality. From virtual reality and wearable devices to facial and emotional recognition technologies, these products and systems are changing the way we communicate, interact and conduct market research (MR) in several industries, most notably, retail.

One of the hottest areas of technology development in retail research is facial and emotion recognition. Understanding emotions is powerful in areas of research such as ad testing, but difficult to achieve. Facial expressions are linked to emotions, and research organizations have used human observation of recorded videos in retail settings to try to assess emotional response for years. Human assessment has many limitations, and facial expression recognition technology offers an opportunity to overcome some of these limitations, delivering a much greater level of insight about personal sentiment and reactions.

Organizations managing research programs and companies like Phaceology in the retail customer experience space are using emotion detection technology to analyze people’s emotional reactions at the point of experience. This knowledge not only gives researchers a greater understanding of behavior patterns, but also helps predict likely future purchasing actions of that consumer.

The result? Remarkable insight into what impacts customer emotions, as well as valuable information that can drive better business decisions, resulting in improved product and service offerings and experiences.

Emotion detection software simply adds to the toolkit available to retailers who are looking to improve their customer experiences and create more effective advertising campaigns. It may further reduce the need for focus groups, but beyond that, it’s an addition, not a replacement. Such videos will, in most cases, be embedded into a survey, and additional information will be required to understand more about the shoppers themselves.

No doubt new applications of the software will emerge in both MR and customer experience disciplines – some of which will fly and some of which won’t. As with most advances of the last decade, emotion detection will find its place and help forward-thinking retailers add additional value to the services they provide to their customers. In turn, this will ideally help progress the retail space, helping retailers take their abili

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faial recognition

Analyzing and Detecting Employee’s Emotion for Amelioration of Organizations

bognewpic3x2These days employees well- being is the most growingly pertinent and mandatory consideration in the modern workplace of any organization. Until recently, emotions were considered a forbidden topic in the working place. They were no person’s concern, and they had no place in business. They were not allowed to discuss it and those issues must always be left at home. Today, research on how emotions affect inventiveness, production, and profession success has put a jaunt on the subject. They are realizing that how well they elicit and sustain positive emotional states in their employees plays a major role in their organization’s victory or defeat. This is because emotions directly influence the five major sources of competitive advantage in today’s marketplace: Intellectual Capital, Customer Service, Organizational Reactivity, Production, Employee appeal and retentivity. By becoming more knowledgeable about how emotions affect the primary sources of competitive advantage, organizations can help their management team recognize the critical connection of employee’s emotions and then try to make it right before it affects the productivity. In this paper, the proposed approach to the problem of employee’s emotions are resolved by detecting their emotions using C#. At the time of entering into the organization, face of the employees are captured to analyze their emotions and stored in the database.

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How Phaceology Improves The Customer Experience


The Algorithms That Tell Bosses How Employees Are Feeling

thesciencefwslideEvery day, humans type out more than 200 billion emails, hundreds of millions of tweets, and innumerable texts, chats, and private messages. No one person could pick through even a tiny sliver of this information and stitch together themes and trends—but computers are starting to be able to. For more than a decade, researchers have been developing computer programs that can ingest enormous amounts of writing to try and understand the emotions stirred up by an idea or a product.