This pandemic has fostered the digital transformation and made that as a norm rather than an option of luxury. Adoption of niche technologies like RPA, AI, ML has increased and the decision-makers are serious towards its implementation in order to survive and stay abreast.
It is clearly evident that we have to change our operational practices and RPA plays an important role. Let’s see what are the few best Open-source and Commercial RPA tools to use in 2020.
It’s no secret that the senior population is growing. By 2030, people over the age of 65 are predicted to make up 20.6% of the population of the US.
Around the world, people are living longer and remaining more active in the later years of their lives. What’s more, despite what you might have heard in the past, seniors aren’t as wary of the internet as they used to be. In 2019, the Pew Research institute revealed that 73% of people over the age of 65 were connected to the web.
So, what does that mean for web designers?
your main focus needs to be on ability…people age differently
Well, first of all, it’s time for all of us to start thinking about user experience from different perspectives. We need to stop expecting our audiences to be made up entirely of iPhone-using millennials and start thinking about the needs of seniors too. After all, designing websites for seniors opens you up to a wide selection of potential visitors in the future.
What’s more, according to the US Census Bureau, people over the age of 65 generally have the highest household wealth figures of any age group. That’s a big deal.
So, how do you adapt UX for seniors?
When it comes to designing websites and applications for seniors, your main focus needs to be on ability. Age is just a number, and people age differently.
That means that one person in their 70s might have no problem browsing through Netflix to watch the latest shows, while someone else wouldn’t be able to tell you what ‘streaming’ means.
Rather than worrying specifically about age, think about how different people in older age groups might have different requirements when it comes to things like movement control, hearing, vision, and even device bias.
Vision loss is by far the most common disability reported by elderly individuals in the US. Around one in six people over the age of 70 have some manner of visual impairment. That’s why UI designers need to think carefully about visual accessibility when creating the right websites.
For instance, text and button sizes should always be kept large. Anything that needs to be read or clicked needs to be scaled up, to ensure that everyone can see the information clearly. For instance, on the Sandinmysuitcase.com website, you’ll find clear typography, combined with big buttons that tell you to “Start Here” so you know exactly what to do next.
Remember to stick to icons that are clearly labelled wherever possible. Stay away from anything that your customers might not understand. “Start Here” is easier to read and understand than “Submit”.
It’s also worth sticking to the color and contrast guidelines laid out by basic UX design when you’re creating something for optimal visibility. Colors that are too close together might create a nice pastel or gradient effect on a website – but they’ll also make things difficult to read.
Over the age of 55, motor skills and coordination can begin to decline for some people. These changes make it harder for people to interact with complex UIs. The mouse on a computer can be a particular problem for people with diminishing motor skills – as can the touchscreen of a tablet or smartphone.
When you’re working on the perfect UX, think about how you can make things as easy to click as possible for people who have a hard time hitting their targets. For instance, in this website for people traveling over the age of 50, you’ll see not only fantastic large font choices but big buttons that are descriptive and easy to understand too: “Click here to start planning your trip”:
The scrollbar can also be a bit of a problem for people with impaired motor skills. Because of this, it’s best to keep your focus on designing above the fold. Make sure that users don’t need to scroll far to find the information that they need and keep scrollbars simple in terms of their look and feel.
While you’re working on usability, remember that it will be important to keep interactions to a minimum wherever possible. Where you can engage younger audiences with double-taps, swiping and scrolling, it’s much easier to connect with seniors through simple one-tap interactions. The less actions your user needs to take to reach their goals, the better.
Navigating from point A to B on your website needs to be as simple as seamless as possible. Remember, crowded pages on your websites and apps are often overwhelming – even for younger browsers. Seniors are generally just searching for “must know” information, so they don’t want anything to get in their way as they navigate through their website.
As you work on your site or app design, ask yourself if every element on the page absolutely has to be there. If it doesn’t deliver value, then get rid of it.
Additionally, remember that seniors don’t always have the best memories and concentration levels. That means that they need your navigation experience to be as simple as possible. Basic horizontal menu bars that show everything at once are often a good idea – even if they’re not very exciting.
Look at this helpful navigation experience from RetireMove.com, for instance. Everything you need is located at the top of the page, and you can even just enter your postcode to get started:
Cognitive decline happens regularly with age. Although not all older adults will have issues with their memory and concentration, it’s important to be prepared for an audience that might process information a little more slowly. It’s worth double-checking that your viewer’s attention isn’t being diverted to multiple parts of the page at once.
While younger generations have quickly implemented technology into every aspect of their lives, older consumers use tech a little differently. These people don’t want to spend forever fiddling around with different parts of your website. They want to get the answers to their questions as quickly and easily as possible.
Applications that are complicated or difficult to access are usually instantly rejected by seniors. Even if you’ve offered everything that we’ve covered above, from seamless navigation to minimalist design, you still won’t get the interactions you’re looking for if older adults don’t consider your design to be useful.
Because of this, you need to highlight the point of a website or application to your seniors as quickly as possible. Avoid worrying about things like gifs, animations and gamification. Instead, focus on making sure that your designs are useful and simple.
For instance, from the moment your senior user arrives on a web page, they should have instant access to clear instructions on how to use the application or service, and what they need to do next. Keep in mind that this is particularly important when you’re creating mobile apps, as apps are still a relatively new concept to older generations.
On the “When They Get Older” website, you can instantly find the information you need in a well-organized navigation bar that’s labelled clearly:
A clear interface like this, combined with simple, step-by-step guidance that shows elderly individuals how to get the information that they want is the key to keeping these users coming back for more.
These days, most designers focus heavily on younger audiences when creating websites and apps. After all, it’s these users that allow us to experiment more with the latest tools and concepts, like augmented reality, artificial intelligence, and robust animations.
However, there’s still a market out there for the seniors of the world that want more opportunities to get online. This audience often goes ignored and under-served. However, as the value of older consumers grows, and their ability to interact online increases, you’ll find that more businesses begin to search for web designers who can provide immersive experiences for a more mature audience.
The steps above will give you an excellent insight into how you can start designing for a different kind of customer base. However, remember that the best way to make sure that you’re delivering the right solution for any customer, is to test. User testing will provide you with the exclusive insights that you need to determine whether your senior UX is really working, or whether you’re still struggling to get into the shoes of an older user.
Featured image via Unsplash.
Artificial Intelligence is the use of computers or machines that have been created to work and react like humans. Some of the computers that have AI, are designed to include speech recognition, and learn user behaviours so they can predict activities or decisions before they happen.
AI creates a bridge to a new kind of interface, making work processes easier for businesses and customers alike.
There are constant AI technological advances being made, so why not make the most of them and start integrating them into your toolset today? Read on to find out just why AI is important and how you can benefit from it in your work too.
By integrating Artificial Intelligence into your toolset, you can stand to both save and earn more money. AI will leave you spending less time on various aspects of website management and development, freeing some of your time up and allowing you to finish websites faster. It will also leverage your set of skills and allow you to build greater sites that people will be willing to pay more money for.
Artificial Intelligence can be used to analyse data in much more depth than the human eye, so will greatly improve the customer experience. It will allow a more personalised and streamlined experience that users will be grateful for. By integrating AI into your toolset, you will soon learn about certain trends and patterns that AI picks up and utilise this with future sites you build, as well as being able to make suggestions to improve the customer journey on the site.
With so many devices in our everyday lives tuning in to AI, it’s important websites are no different. Just look around many homes and you will likely see a device such as Amazon’s Alexa or Google Home. Phone’s have Siri or Bixby and many laptops have AI systems such as Cortana. As our technology continues to develop, websites need to do this too. Soon we will expect everything to be integrated and be able to control websites in a similar way to our AI devices with voice control and recognition.
One popular example of AI that is integrated into many different websites now, is the chat bot. A feature on a number of major sites, chat bots allow customers to ask and receive answers to questions without an employee having to take time out of their day to answer menial questions that they get asked all the time. The use of AI cuts out the middleman and recognises certain phrases and words to give the most relevant and comprehensive answer.
The first chatbots used to rely on simple, pre-programmed conversational pathways, but these had disappointing and often irrelevant results. More recently they use sophisticated natural language processing (NLP) systems which are a lot more complex and don’t follow just a scripted path, but allow for more meaningful conversations.
If you’ve just started in web design, or there are certain elements you are still learning about, AI can help with “sketch to code”. This clever piece of AI can transform a handwritten note, sketch or diagram into a valid HTML mark-up code that maintains itself. This can work from something as simple as a new design for a quote system, to something more complex.
AI can work in the background of a site in the run up to events and collect key aspects such as website analytics. Once this data is complete, the AI can take final instructions from you such as the content, theme and color preference and create a design from scratch that it thinks will perform the best due to the intelligence and knowledge it has been gathering in the background.
Back in 2012, the W3C Community introduced the Web Speech API specification with the aim of enabling speech recognition and synthesis in modern browsers. At present, Google Chrome is the only browser that has introduced this, however there is a HTML5 Speech Recognition API will allows JavaScript to have access to a browser’s audio stream and to convert it into text.
It’s important to get up to speed with voice recognition API’s as it’s predicted voice control will be huge in the future. If populating websites, think about how people speak and be sure to include some long-tail keywords that sound more natural. This will help those sites to rank when voice control is adopted more widely.
Adobe Sensei is an AI and machine learning framework that is powering Adobe tools. It is a handy option to add to your toolkit to manage and work on your files.
If you are sourcing images for a website in Adobe Stock, there are over 100 million assets to sift through. Adobe Sensei uses AI and deep learning to understand what exact objects are within an image as well as deeper components such as the aesthetic quality, composition, color palette and even the emotional concept behind the images. This means it can quickly find the image most matched to your needs, saving you hours of time you would have spent sorting through to find the image you want.
Yossarian is a great tool that allows you to craft mood boards. With an aim to generate new ideas faster, it cites itself as “discovery with a twist.” Yossarian uses AI when creating mood boards to return “diverse and unexpected concepts” that share loose associations with what you have searched for, allowing you to be more creative. It will source different ideas and inspiration around what you are searching for, including many you might not have thought of associating with your initial search term.
If you create logos and design templates within your work, Brandmark logo maker is a great AI tool to add to your library. They cite themselves as the most advanced AI logo design tool on the market at the moment. Whether logo creation is something you currently offer, or something you are looking to do, this AI tool can make it easier.
Autodraw is another useful tool you can use for design jobs, where you draw a rough sketch and it will turn it into a neat graphic. This is a handy one to use in association with the concept of sketch to code above. It pairs the magic of machine learning with drawings to help you create professional looking graphics and visuals, quickly.
Featured image via Unsplash.
In this post, you will learn about how to train a decision tree classifier machine learning model using Python. The following points will be covered in this post:
Simply speaking, the decision tree algorithm breaks the data points into decision nodes resulting in a tree structure. The decision nodes represent the question based on which the data is split further into two or more child nodes. The tree is created until the data points at a specific child node is pure (all data belongs to one class). The criteria for creating the most optimal decision questions is the information gain. The diagram below represents a sample decision tree.
In this article, we will see the actual difference between gradient descent and the normal equation in a practical approach. Most of the newbie machine learning enthusiasts learn about gradient descent during the linear regression and move further without even knowing about the most underestimated Normal Equation that is far less complex and provides very good results for small to medium size datasets.
If you are new to machine learning, or not familiar with a normal equation or gradient descent, don’t worry I’ll try my best to explain these in layman’s terms. So, I will start by explaining a little about the regression problem.
Attention is the new gold; brands are in a constant competition for our attention.
A big portion of our time we spend online, where we are bombarded with insane amounts of information and advertisements. It’s hard not to become overwhelmed in this world of consumerism. We have had to become good at quickly evaluating which information is important, especially on the internet.
Good marketing specialists know that they have mere seconds to turn a potential customer into a lead. People are not going to spend a lot of time examining your advertisement or landing page, either it clicks or not. Moreover, most users do not read the articles, they scan them. First impression plays a huge role in the success of your business, so do not leave that to a chance.
You really don’t want your customer to ignore that special sale, subscription option, or another call to action on your webpage. That is why you need to know where that gold-worthy attention goes when a user opens your landing page. Here’s where technology can come in handy.
It is very important to know where your website visitor’s attention goes first. How to get that info? Eye-tracking is the answer.
Eye-tracking technology can be used to optimize your website conversions. By tracking eye movements, technology will recognize which content is most intriguing for the users. It will reveal whether people pay most attention where you want them to, which elements are distracting or not visible enough, and where sales are lost. This information is invaluable if you want to succeed in the current market.
This information is invaluable if you want to succeed in the current market
How does it work? An eye tracker, such as webcam or goggles, measures movement of an eye. Collected data is analyzed and presented as a heatmap, highlighting which elements of your design attract most attention. Having in mind that browsing time rarely exceeds a few seconds, this information is very valuable when you try to understand your audience.
You wouldn’t want to spend much time on your website design just to discover it does not generate desired conversion rate. By employing this technology you can make changes based on reliable data rather than intuition and guarantee your business future success.
By now you may think that you definitely need to carry out this eye-tracking study, but there is a catch. A high-quality behavioral observation or eye-tracking is a time-consuming, budget eating complicated process.
If you want to draw conclusions from heatmaps, you would need to include at least 39 participants in a study. One individual test may last from 20 minutes to an hour. Time quickly adds up when you include preparation and analysis of the results. The average eye tracker price is around $17,500 and it may vary between several thousand dollars and $50 000. Of course you can hire a company to carry out this research for you but it may cost you several hundred dollars a month. Luckily, technological innovations allow us to acquire the same insights about users’ attention flow much cheaper and faster than conducting or buying an actual eye-tracking study.
Technological innovations replace real eye-tracking study
In this task of understanding how internet users are interacting with your website, Artificial Intelligence (AI) seems to be an answer. AI-based technologies already have become prevalent in various services we use on a daily basis. For example, Netflix’s highly predictive algorithm offers viewers personalized movie recommendations. Medical researchers utilize eye tracking to diagnose conditions like Alzheimer’s disease or Autism. As these algorithms become better every year, AI also becomes an irreplaceable tool in business.
Over the years researchers have collected so much data that human behavior becomes really predictable
How can AI help you to understand your customer’s attention? The main feature of AI is that it can mimic human intelligence and constantly improve itself by learning from data. Predictive eye-tracking is based on deep learning and trained with previous eye tracking study data. Over the years researchers have collected so much data that human behavior becomes really predictable. Technology predicts which specific areas of your website attract most interest. In this way, AI enables you to speed up the UX research process and get insights about your design in a matter of seconds.
Too good to be true? There are already several available tools on the market, such as Attention Insight or EyeQuant. These predictive design tools are based on deep learning and trained with previous eye-tracking studies data. Up to date, they have achieved an 84-90% accuracy.
AI-powered attention heatmap
AI solutions for designers and marketers have already become major competitors to traditional eye-tracking studies. Due to active competition, predictive eye-tracking tools are constantly innovating and recently started generating heatmaps for videos. Another useful feature that provides decision-makers with quantitative data is a percentage of attention. Users can define an object that they want to test and get an exact percentage of attention that the object receives.
Since all digital products are competing for user’s limited attention, it has become one of the most valuable resources. Due to fierce competition, it is not enough to rely on your intuition and gut instinct while making important decisions anymore. Designers have a choice in this economy of attention, though.
Yes, there are eye-tracking studies that require a significant amount of time and financial resources.
However, you can make user-centric, data-driven decisions in a quick, scalable, and private way while your product is still under development. AI-powered predictive eye-tracking tools might be an answer. Attention is a new currency, and you must measure it.
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