Dropdown alternatives for better (mobile) forms


Dropdown alternatives for better (mobile) forms

Using dropdown menus in forms might seem a no-brainer: they don’t take much space on the UI, they automatically validate the input, all browsers and platforms support them, they’re easy and cheap to implement, and the users know them well enough.

At the same time, though, dropdown (or select) menus are one of the most frequently misused form patterns and “should be the UI of last resort”, according to Luke Wroblewski and many others.

Let’s look at some of the limitations and concerns:

  • In a dropdown, the available options are not visible until you click or tap to open it. Also, the length of the list is hidden at first sight, that is, users can’t predict if a dropdown menu would contain 2 or 50 elements.
  • Selecting an option from a dropdown list (especially on mobile) is a multi-step process: you have to tap on the dropdown to open the list of options, then scroll and scan through the items to select one, and then close the dropdown.
  • Dropdown menus might make designers lazy: it’s super easy to just add all the possible options to a dropdown list without any prioritization (which makes it really similar to the hamburger menu, by the way).
  • Longer dropdowns, such as a country selector can be a nightmare to scan through, especially on mobile where keyboard search is usually not available.
  • Scrolling through the options might be painful on some mobile screens where the visible and scrollable area of the list is small:

On iOS, the number of visible options might be surprisingly low at first sight

The good news is that there are plenty of alternative input controls that will work better for you in many cases.

Consider the number of options

For binary (on/off) decisions, the dropdown menu is a really bad choice. What you need is a checkbox or a toggle switch.

If your dropdown only contains Yes/No or On/Off options, use a simpler switch instead

For a small number of mutually exclusive options, radio buttons or segmented controls are recommended so that all available options are visible at once, without having to open the list.

Segmented controls show the selected and the alternative option(s) at once

The number of visible options depend on the screen width and the length of the option labels but having more than 5 items is not recommended

For a large number of well specified options, when users know exactly what they’re looking for, consider a “start typing…” solution where the list of filtered options is displayed after the first one or two letters.

Instead of scrolling through the list, let the users start typing and only show the filtered options

For large and diverse lists, try to use existing user data to prioritize the options and only list the first few most popular choices to the user. This way there’s a chance that 90% of the users will find their preference instantly and only 10% have to select Other and then specify it in the next question.

Although “Other” is not an elegant solution, such prioritization might improve the user experience for the majority of users

Consider the expected input

One of the benefits of a dropdown list is that users don’t have to type much. However, if the expected input is not too long and is frequently asked (such as personal data) it’s usually easier to type in rather than select it from a list:

Entering a birth year on a mobil device is easier with a numeric keyboard than by scrolling through a long list

In general, entering a numeric value on a mobile is usually more efficient with a keyboard.

Even though the sorting order of a numeric dropdown is clear, it might still be easier to type than scroll

If it’s important to validate the user’s input, the “start typing…” approach might be useful where the input field is used to filter down the available options.

When listing the states of the USA, typing only one letter filters down the list well

The ability to search in the list of options is especially helpful when the sorting order of the elements is not clear.

The sorting order for currencies might be unclear to users so make sure they can search in name and currency code, too

The same technique should be applied for the good old country list: instead of listing 200+ items, let users start typing and filter the results as soon as possible.

For discreet values representing quantity (such as the number of passengers or the number of items in a shopping cart), a stepper allows the users to quickly increase or decrease the number with one click or tap.

For non-discreet values or values that are located on a scale, consider using a slider.

Showing the minimum and maximum value of the scale might help the understanding of the context

Picking a date with multiple select menus can be a really painful experience so for entering nearby dates, always use a date picker. (But never use it for entering birth dates!)

Consider designing smarter dropdowns

It goes without saying that dropdown menus should not be always avoided. You’ll find cases when a select menu is the most appropriate input control and that’s fine, just try to make it as user friendly as possible.

  • Use a meaningful label: the menu label or description should be clear and available even when the list is open. Inside the select menu, use a descriptive label that tells the users what they’re selecting (that is, “Select type” instead of “Please select”).
  • Sort items in a sensible way: based on user data, try putting the most popular choices on top of the list. Or, even pre-select the most popular one by default.
  • Use smart defaults: phones and browsers knows the user’s location, the date, and tons of other information. Use that data to pre-select the most probable option for every user.
  • Decrease the number of fields and let the computer do the work: if a user enters a ZIP code, the computer could already know the city and state — no need to ask. If a user enters a credit card number, the computer could already know it’s a MasterCard — no need to ask.
  • Consider using APIs: signing up with a Facebook Connect button is easier than filling out a registration form. Paying with Paypal is easier than having to type in your credit card data.

If you want to learn more about designing dropdowns, check out the brilliant SXSW Keynote by Golden Krishna and Eric Campbell:

from Sidebar https://sidebar.io/out?url=https%3A%2F%2Fmedium.com%2F%40kollinz%2Fdropdown-alternatives-for-better-mobile-forms-53e40d641b53

10 Rules for Creating Reproducible Results in Data Science

In recent years’ evidence has been mounting that points to a crisis in the reproducible results of scientific research. Reviews of papers in the fields of psychology and cancer biology found that only 40% and 10%, respectively, of the results, could be reproduced.

Nature published the results of a survey of researchers in 2016 that reported:

  • 52% of researchers think there is a significant reproducibility crisis
  • 70% of scientists have tried but failed to reproduce another scientist’s experiments

In 2013, a team of researchers published a paper describing ten rules for reproducible computational research. These rules, if followed, should lead to more replicable results.

All data science is research. Just because it’s not published in an academic paper doesn’t alter the fact that we are attempting to draw insights from a jumbled mass of data. Hence, the ten rules in the paper should be of interest to any data scientist doing internal analyses.

Rule #1—For every result, keep track of how it was produced

It’s important to know the provenance of your results. Knowing how you went from the raw data to the conclusion allows you to:

  • defend the results
  • update the results if errors are found
  • reproduce the results when data is updated
  • submit your results for audit

If you use a programming language (R, Python, Julia, F#, etc) to script your analyses then the path taken should be clear—as long as you avoid any manual steps. Using “point and click” tools (such as Excel) makes it harder to track your steps as you’d need to describe a set of manual activities—which are difficult to both document and re-enact.

Rule #2—Avoid manual data manipulation steps

There may be a temptation to open data files in an editor and manually clean up a couple of formatting errors or remove an outlier. Also, modern operating systems make it easy to cut and paste been applications. However, the temptation to short-cut your scripting should be resisted. Manual data manipulation is hidden manipulation.

Rule #3—Archive the exact versions of all external programs used

Ideally, you would set up a virtual machine with all the software used to run your scripts. This allows you to snapshot your analysis ecosystem—making replication of your results trivial.

However, this is not always realistic. For example, if you are using a cloud service, or running your analyses on a big data cluster, it can be hard to circumscribe your entire environment for archiving. Also, the use of commercial tools might make it difficult to share such an environment with others.

At the very least you need to document the edition and version of all the software used—including the operating system. Minor changes to software can impact results.

Rule #4—Version control all custom scripts

A version control system, such as Git, should be used to track versions of your scripts. You should tag (snapshot) multiple scripts and reference that tag in any results you produce. If you then decide to change your scripts later, as you surely will, it will be possible to go back in time and obtain the exact scripts that were used to produce a given result.

Rule #5—Record all intermediate results, when possible in standardized formats

If you’ve adhered to Rule #1 it should be possible to recreate any results from the raw data. However, while this might be theoretically possibly, it may be practically limiting. Problems may include:

  • lack of resources to run results from scratch (e.g. if considerable cluster computing resources were used)
  • lack of licenses for some of the tools, if commercial tools were used
  • insufficient technical ability to use some of the tools

In these cases, it can be useful to start from a derived data set that is a few steps downstream from the raw data. Keeping these intermediate datasets (in CSV format, for example), provides more options to build on the analysis and can make it easier to identify where a problematic result when wrong—as there’s no need to redo everything.

Rule #6—For analyses that include randomness, note underlying random seeds

One thing that data scientists often fail to do is set the seed values for their analysis. This makes it impossible to exactly recreate machine learning studies. Many machine learning algorithms include a stochastic element and, while robust results might be statistically reproducible, there is nothing to compare with the warm glow of matching the exact numbers produced by someone else.

If you are using scripts and source code control your seed values can be set in your scripts.

Rule #7—Always store raw data behind plots

If you use a scripting/programming language your charts will often be automatically generated. However, if you are using a tool like Excel to draw your charts, make sure you save the underlying data. This allows the chart to be reproduced, but also allows a more detailed review of the data behind it.

Rule #8—Generate hierarchical analysis output, allowing layers of increasing detail to be inspected

As data scientists, our job is to summarize the data in some form. That is what drawing insights from data involves.

However, summarizing is also an easy way to misuse data so it’s important that interested parties can break out the summary into the individual data points. For each summary result, link to the data used to calculate the summary.

Rule #9—Connect textual statements to underlying results

At the end of the day, the results of data analysis are presented as words. And words are imprecise. The link between conclusions and the analysis can sometimes be difficult to pin down. As the report is often the most influential part of a study it’s essential that it can be linked back to the results and, because of Rule #1, all the way back to the raw data.

This can be achieved by adding footnotes to the text that reference files or URLs containing the specific data that led to the observation in the report. If you can’t make this link you probably haven’t documented all the steps sufficiently.

Rule #10—Provide public access to scripts, runs, and results

In commercial settings, it may not be appropriate to provide public access to all the data. However, it makes sense to provide access to others in your organization. Cloud-based source code control systems, such as Bitbucket and GitHub, allow the creation of private repositories that can be accessed by any authorized colleagues.

Many eyes improve the quality of analysis, so the more you can share, the better your analyses are likely to be.

 

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from Dataconomy http://dataconomy.com/2017/07/10-rules-results-data-science/

Atomic Design & creativity

I’ve been using atomic design in my projects over the last 2 years now. And since then, I can’t help but talk about it to everyone around me 😉

Quick reminder : Atomic Design is a methodology, invented by Brad Frost and based on the idea that designing interface should always rely on the smallest part of the interface (atoms) in order to build any other assets.

While I was trying to convince people around me about this methodology, I noticed that some people (mostly creative people I have to say…) were concerned about the « industrial » aspect of this methodology.

It’s the end of my creativity!

“We’ll turn into robots designing components”

Unfortunately, when we talk about “industrialization” and “reuse”, many people understand “standardisation” and “creative limitation”.
I disagree.

When you really find your own interpretation on how to use Atomic Design, you can decide precisely where and when you want to give room to creativity.

Let’s see what happens when we name it differently

When I started using Atomic Design, I read many articles and discovered how other people were actually using it their own way depending on the project, the size of their team…

Vocabulary used in Atomic Design doesn’t often speak to the teams. Worse, it can create confusion. For example, what is the difference between molecules and organisms? Or templates versus pages?

And it’s fair to say that chemical and biological metaphors can be “scary” for non-scientific minds (myself included 😉

I decided to find different metaphors to convey the same idea of starting from the smallest piece to build from.

Metaphor #1 : Lego

This is the first metaphor I found interesting and it’s definitely the most commonly used when approaching components systems.

I have bricks of different shapes, sizes and colors:

Your raw material : atoms

With this bricks, I can build different elements:

Simple or complex elements (molecules & organisms)

And by assembling these elements, I come to a final result which can even be a part of something much bigger:

One of the possible results

What’s great with Lego is that you can extend the metaphor: the style guide that will be developed is like a Lego storage box with rules on how to use them (Building instructions):

The Style guide : the storage and the building instructions, essential to use the system correctly

This metaphor is more fun than the atoms and it pleases the teams a lot (especially developers 🙂

Nevertheless, something is still missing with regard to our designer job…

How to make understand that, when designing a product, we’re not just assembling blocks… We also want our user to feel something.

Metaphor #2 : music

Recently at Backelite, I introduced the Atomic Design methodology for one of our clients. And I was lucky to work with a talented Art Director: Florian Cordier.

Working with Atomic Design was not a choice of his own and he was not really comfortable with the idea… He thus decided to find his own metaphor and he developed the following one, which I find absolutely brilliant.

It begins with the idea that music starts with 7 notes and some rhythm indications:

7 notes: infinite design possibilities

We can combine those notes to create chords:

We can combine this notes to create chords (molecules)

We mix these chords into verses:

Verses that will tell a story and can be reuse in the music piece

And with those elements we’ll create an entire sheet of music and why not even an opera!

One of the possible results

What is very interesting with this metaphor is that we bring 3 new notions that are essential when designing a product: harmony, melody and rhythm.

HARMONY

It’s the right organization of the components. It’s what is going to make the final result harmonious and well balanced.

The harmony of the final result

MELODY

It’s the story we want to tell to our user and the global vision of the flow. Sometimes the flow needs to be quick and sometimes it needs to be calm.

The melody of the user flow

RHYTHM

Last but not least, the rhythm is what will give user some emotions while using the product: animations, illustration, tone of voice…

Add some rhythm to give emotions to the user. ©TouchUp

Thanks to this metaphor, we add the emotional and creative aspect that often lacks when one speaks about design systems

Good composer and good interpretations

Pleasant and long lasting music requires good composers and good interprets. A simply well executed piece, even if the technique is perfect will not be enough to thrill the audience. In the same way, a rich system of components will not be enough to make a good user experience!

We’ll still need:

  • Good composers to create a unique and reusable system
  • Good musicians to interpret it their own way and bring it to life

And sometimes, we need to break the rules in order to generate surprise or emotion.

When to be creative… Or not?

For me it’s obvious : we can be creative while using design systems and Atomic Design methodology.

The next question will be:

“When do we need creativity and when do we need consistency?

Starting from atoms and molecules give us more creative possibilities than starting from templates and organisms

We will have then to identify where do we want a strong consistency and where do we want to create surprise, emotion, or to show the uniqueness of the brand.

  • If we want a strong consistency and a lot of reuse, we will start from the more concrete and complex components (such as templates and organisms).
  • If we rather want to give designers more creative possibilities, we will give them atoms and molecules so they will create new components while keeping a family resemblance.

Never forget: be consistent, not uniform!

What are we going to do with all this time saved?

Industrialization can help us to save time on repetitive and useless tasks for which designers have no added value, as for example: perform the same modification on 15 different screens, create 20 times the same component, replace 10 times the same wording …

This newly acquired free time should allow us to work on much more interesting elements for our users and/or our clients : the right user flow, the brand identity, the analysis of user feedbacks, the development of innovative and relevant solutions, the emotional design…

If you’re curious about how to begin creating a system of components using Atomic Design, you can also read: “Atomic Design : how to design systems of components”.

Audrey wrote this story to share knowledge and to help nurture the design community. All articles published on uxdesign.cc follow that same philosophy.


Atomic Design & creativity was originally published in uxdesign.cc on Medium, where people are continuing the conversation by highlighting and responding to this story.

from uxdesign.cc – Medium https://uxdesign.cc/atomic-design-creativity-28ef74d71bc6?source=rss—-138adf9c44c—4

How Branding Tripled My Income in Six Months


How Branding Tripled My Income in Six Months

After months of development you’re finally ready to launch the product your clients will adore. Your brand new website is beautiful, and at the price you’ve set, no one could turn you down. You go to industry events to promote your work, and traffic to your site is growing everyday.

All of which has amounted to zero customers and you have no idea why.


This was my client’s situation when she approached me for help. She worried her service was shoddy or that the price was too high. I assured her that wasn’t the case.

We tripled her profits in six months without changing her product. She’s won awards for her work, and clients regularly request for her services a year in advance.

How did she go from nonexistent to trend setting? By developing her brand.

Brands get a bad rap as superficial or unimportant, but by neglecting your brand you’re leaving thousands of dollars on the table.

Unfortunately, the above scenario is not unique; many of my clients have struggled to grow their business because they underestimated their brand’s impact. Brand building takes brainpower, not muscle, so putting yours to work is easy when you know what to do.

In this article, I’ll cover what a brand is and how you can use yours to reach the clients and profits your business deserves.

What is a brand

Did you know branding originated from the marks made by ranchers to identify their cattle?

Many businesses end up with poor brands simply because they don’t understand what one is. A brand is what people feel about your company — your customers’ psychological and physical impression of your business. The distinction here is that brands are defined by customers, while businesses can only influence their customers’ impression. The efforts made to influence a customer’s opinion of the business are called branding.

Brand Anatomy

Brands can be broken down into four distinct layers: brand materials, brand traits, brand values, and a brand promise. Each shapes the customer’s experience of your brand and ultimately informs their perception of your business.

Brand Materials — the “What”

Brand materials are the things you say, the things you make, and the things you do. Your materials are the content you put into the world to represent your brand, including:

  • Logos
  • Websites
  • Flyers
  • Packaging
  • Banners
  • Business cards
  • Ads

Your materials are the surface-level objects where your customers interact, share, and enjoy your products.

Brand Traits — the “How”

Brand traits are the unique characteristics of your brand. They are the emotional responses felt by customers brand based on your business’s presentation.

Brand traits can be felt across all five senses, though most businesses prioritize the visuals of their brand materials. Grungy textures and hard angles, for example, make products and brands seem masculine and rugged. Softer colors and rounded edges associate brands with user-friendliness or femininity.

Some business try to refine how they taste, feel, and sound, but in most cases it’s not necessary.

Sidebar: many business owners assume they need to know exactly how their products should look and feel, and enlist designers and/or developers only to execute their ideas. While I encourage you to understand your business deeply, designers (like myself) can make immense improvements to your projects when brought on as strategists rather than “pixel pushers”.

Designers are trained specifically to translate ideas and values into the visual language of present-day culture. Approaching designers with a pre-defined solution is a missed opportunity to benefit from all of their training and experience. Instead I encourage business owners to deeply know the “what” and the “why” of their brand, and consider collaborating with creative professionals to best define the “how”.

The design of your materials and the function of your products create a powerful brand experience your customers will remember when comparing your brand against others. For example, Dollar Shave Club offers cheaper razors of similar quality to the Harry’s brand I buy, but the Harry’s brand has an atmosphere of simplicity and friendliness that makes their products worth paying a little extra.

It doesn’t matter that the price is cheaper for essentially the same product. I pay a little more because I want the experience of a premium product. Price clearly isn’t just indicative of quality, it’s also indicative of the overall experience.

Brand Values — “Why”

Brand values are the third and deepest layer of brands. Your brand values are not just what you stand for, they’re the people you care about and the problems you solve. If materials are what you do, and traits how you do it, your brand values are why you set out to do them that way in the first place.

Brand values help determine the audience your product is for, and in turn the design and atmosphere that will resonate best with them. A clear tie between the values and materials of a brand will strengthen your messaging and create clarity amongst the clutter of your competition.

Values are also divisive, and showcasing them is an easy way to split a generalized audience. When Chick-Fil-A President and CEO Dan Cathy spoke out about his disapproval of gay marriage, sales dropped immediately, because many of their customers don’t share his values.

While many businesses offer the same products or services, their reasons for doing so can be completely unique, making them a great tool to stand out.

Customers are very aware of the causes businesses defend. Buying a brand’s products is an indirect way for customers to define themselves by the values associated with that business.

Do you have an Apple or Android phone, own an Xbox or PlayStation console, or take an Uber or Lyft ride? Each offers similar experiences to their competitor, but their values influence the product and the type of customers they have.

Each elements is influenced by the Brand Promise

The Brand Promise

Whether written down or unspoken, customers associate brands with a core function tied together by the materials, traits, and values communicated to them by the business. This commitment is the brand’s promise to solve a problem at the intersection of the business’s and the customers’ values. The strength of a brand is wholly dependent on the ability a business has to own up to that promise.

Chipotle, for example, built their whole brand around the value of independent farming. They believed that the meat produced through these farms is of better quality and better for our environment and economy. Chipotle designed their brand materials to convey these values and infer the promise of an eco-friendly restaurant where people could buy a healthier, guilt-free burrito.

Chipotle customers love Chipotle’s food and love that their dollars are being spent wisely and safely. Unfortunately, the business suffered huge losses in 2016 when cases of food poisoning were reported linked to poor meat quality standards. The reason being that they failed to meet their brand promise.

Supposing Chipotle paid no mind to their meat sourcing and focused instead on taste alone, the situation may have been better since those expectations were never set. Unfortunately, Chipotle customers felt the brand didn’t keep their promise and ultimately lost trust and interest in Chipotle’s message.

Companies like Coca-Cola benefit from having a simpler brand promise. While Coca-Cola has had many tag lines over the years, from “Coca-Cola. Enjoy.” to “Taste the Feeling”, they’ve all been variations on a promise to be refreshing. Coca-Cola may have values and endeavors beyond taste, but their customers only expect to be refreshed by their soda. Year after year, Coca-Cola delivers on that promise, and year after year, their profits soar.

How to Use Your Brand

With the components of a brand fleshed out, the influence they have over a customer is clear. Brand expert Marty Neumeier writes:

As the pace of business quickens and the number of brands multiplies, it’s customers, not companies, who decide which brands live and which ones die. An overabundance of look-alike products and me-too services is forcing customers to search for something, anything, to help them separate the winners from the clutter.

People tend to think their brand is imaginary or unimportant, but brands can be used in strategic ways to attract real customers and real profits.

Positioning

A well-crafted brand highlights the differences between your business and the competition, making it easier for customers to find the right choice for them. High-end or low-end, serious or playful — your brand traits position you into different purchasing categories that can set you apart from the competition.

Recognition

It takes seven times, on average, for someone to notice your business. You’re valuable content goes unnoticed when not backed by a consistent design to represent your brand.

By setting design standards for your materials, customers will recognize your content, expect the level of detail and care put forth from your previously established works. All businesses have a “look”; by keeping consistent standards, you help customers recognize yours.

Authority

Keeping your promises builds trust among customers. When customers trust you, they are more likely to try new products and recommendation you offer since you’ve already done well in the past.

Following my previous example, when my chosen razor-brand Harry’s launched their new face wash, I decided to try it based on the experience of my past purchases with them. I trusted them to make something I would like based on their reputation.

Delight

Customers pay more for things that make them happy. By using your brand to create a delightful experience, you add real value to your product that you can use to your advantage when pricing (price elasticity).

Personality

Only you can do it your way. Injecting personality into your brand is an untouchable advantage over your competitors. Personality can affect positioning, recognition, authority, and delight; so adding yours into your mix of materials can have multiplied effects on your customers.

The Results of Good Branding

Good branding is not measured by stylishness or consistency. Great brands make real money by engaging with customers.

Marty Neumeier says the goal of branding is to ”delight customers so that more people buy more things for more years at a higher price.”

Delightful brands will be rewarded with:

  • More repeat customers
  • Customers that better appreciate the brand’s products
  • More trust from customers and industry recognition
  • More social sharing from happy customers
  • Price elasticity

Delight can be broken down into clarity and uniqueness. By designing something unique for a specific audience with specific values and goals, you create a one of a kind experience that can’t be bought elsewhere. The more uniqueness built into the product, the more control the business has over the price, reports Business Insider’s Ira Kalb.

Put Brand Strategy into Practice

What will your brand stand for?

The benefits to be gained from a great brand are clear, so I encourage you this information to start making real profits off your brand. I’ve made my Brand Assessment Worksheet available for my newsletter subscribers. The worksheet will help you evaluate the strength of their brand and includes additional ideas for refining your brand experience. I’ve included the sign-up link below so you can download your copy.

I’ve come to love brands not for the companies they represent but for the channels through which they convey their legacies over time. We are surrounded by brands all the time, but it’s up to us to use them to delight the world.


This post was originally published on the Jake Cooper Design blog at http://www.jakecooperdesign.com/what-is-a-brand/

from WebdesignerNews https://medium.com/@jakecooperdesign/what-is-a-brand-how-youre-missing-out-by-not-putting-yours-to-work-68ef153c1543

Spectral, the first parametric Google font by Prototypo.

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from Sidebar https://sidebar.io/out?url=https%3A%2F%2Fspectral.prototypo.io%2F

In the AI Age, “Being Smart” Will Mean Something Completely Different – Harvard Business Review

Andrew Ng has likened artificial intelligence (AI) to electricity in that it will be as transformative for us as electricity was for our ancestors. I can only guess that electricity was mystifying, scary, and even shocking to them — just as AI will be to many of us. Credible scientists and research firms have predicted that the likely automation of service sectors and professional jobs in the United States will be more than 10 times as large as the number of manufacturing jobs automated to date. That possibility is mind-boggling.

So, what can we do to prepare for the new world of work? Because AI will be a far more formidable competitor than any human, we will be in a frantic race to stay relevant. That will require us to take our cognitive and emotional skills to a much higher level.

Insight Center

  • Sponsored by Accenture

    Analytics are critical to companies’ performance.

Many experts believe that human beings will still be needed to do the jobs that require higher-order critical, creative, and innovative thinking and the jobs that require high emotional engagement to meet the needs of other human beings. The challenge for many of us is that we do not excel at those skills because of our natural cognitive and emotional proclivities: We are confirmation-seeking thinkers and ego-affirmation-seeking defensive reasoners. We will need to overcome those proclivities in order to take our thinking, listening, relating, and collaborating skills to a much higher level.

I believe that this process of upgrading begins with changing our definition of what it means to “be smart.” To date, many of us have achieved success by being “smarter” than other people as measured by grades and test scores, beginning in our early days in school. The smart people were those that received the highest scores by making the fewest mistakes.

AI will change that because there is no way any human being can outsmart, for example, IBM’s Watson, at least without augmentation. Smart machines can process, store, and recall information faster and better than we humans. Additionally, AI can pattern-match faster and produce a wider array of alternatives than we can. AI can even learn faster. In an age of smart machines, our old definition of what makes a person smart doesn’t make sense.

What is needed is a new definition of being smart, one that promotes higher levels of human thinking and emotional engagement. The new smart will be determined not by what or how you know but by the quality of your thinking, listening, relating, collaborating, and learning. Quantity is replaced by quality. And that shift will enable us to focus on the hard work of taking our cognitive and emotional skills to a much higher level.

We will spend more time training to be open-minded and learning to update our beliefs in response to new data. We will practice adjusting after our mistakes, and we will invest more in the skills traditionally associated with emotional intelligence. The new smart will be about trying to overcome the two big inhibitors of critical thinking and team collaboration: our ego and our fears. Doing so will make it easier to perceive reality as it is, rather than as we wish it to be. In short, we will embrace humility. That is how we humans will add value in a world of smart technology.

from artificial intelligence – Google News http://news.google.com/news/url?sa=t&fd=R&ct2=us&usg=AFQjCNFoIeppDt_3ZN7KvBSMtqlOIvdnWw&clid=c3a7d30bb8a4878e06b80cf16b898331&ei=st9IWdj_O6v4hQGYjKWQBw&url=https://hbr.org/2017/06/in-the-ai-age-being-smart-will-mean-something-completely-different

Legendary Cosmologist Martin Rees on Science, Religion, and the Future of Post-Human Intelligence

“Fundamental physics shows how hard it is for us to grasp even the simplest things in the world. That makes you quite skeptical whenever someone declares he has the key to some deeper reality.”


Legendary Cosmologist Martin Rees on Science, Religion, and the Future of Post-Human Intelligence

“We have a hunger of the mind which asks for knowledge of all around us, and the more we gain, the more is our desire,” trailblazing astronomer Maria Mitchell observed in contemplating science, religion, and our conquest of truth at the end of the nineteenth century. “If we ever reach the point where we think we thoroughly understand who we are and where we came from, we will have failed,” Carl Sagan wrote a century later in his exquisite meditation on science and spirituality. And yet the longing for stable answers and thorough understanding — or, as Hannah Arendt memorably framed it, the propensity for asking unanswerable questions — might be one of the hallmarks of our species. After all, for as long as modern science has existed, scientists have attempted to answer such unanswerable questions by trying to either reconcile science and religion, like Galileo did in defending his theories against the Inquisition and Ada Lovelace did in considering the interconnectedness of the universe, or at least to relegate them to different realms of inquiry.

Adding to the canon of these meditations is the celebrated English cosmologist and astrophysicist Sir Martin Rees — the last European court astronomer in his position as Astronomer Royal to the House of Windsor and science adviser to the Queen of England.

Sir Martin Rees

In We Are All Stardust: Leading Scientists Talk About Their Work, Their Lives, and the Mysteries of Our Existence (public library) — Austrian physicist, essayist, and science journalist Stefan Klein’s fantastic compendium of interviews, which also gave us Nobel-winning physicist Steven Weinberg on simplicity, complexity, and the unity of the universe — Rees reflects on his rather unusual entry point into the question of science and spirituality:

I was brought up as a member of the Church of England and simply follow the customs of my tribe. The church is part of my culture; I like the rituals and the music. If I had grown up in Iraq, I would go to a mosque… It seems to me that people who attack religion don’t really understand it. Science and religion can coexist peacefully — although I don’t think they have much to say to each other. What I would like best would be for scientists not even to use the word “God.” … Fundamental physics shows how hard it is for us to grasp even the simplest things in the world. That makes you quite skeptical whenever someone declares he has the key to some deeper reality… I know that we don’t yet even understand the hydrogen atom — so how could I believe in dogmas? I’m a practicing Christian, but not a believing one.

The central problem of religious dogma, of course, is that the mythology of “God” offers a single cohesive story that contends to explain all of “Creation” — a theory that claims its truthfulness not by empirical evidence but by insistent assertion. In a sentiment that calls to mind Sagan’s abiding wisdom on the vital balance between skepticism and openness, Rees illustrates how the scientist regards a theory:

I find it irrational to become attached to one theory. I prefer to let different ideas compete like horses in a race and watch which one wins.

Art by Derek Dominic D’souza for Song of Two Worlds, physicist Alan Lightman’s epic poem about science and the unknown

When asked whether he believes that scientists make more intelligent decisions as citizens, Rees responds:

[Scientists] bring a special perspective to things. For example, as an astrophysicist, I’m used to thinking in terms of extremely long periods of time. For many people, the year 2050 is distant enough to seem unimaginably far away. I, however, am constantly aware that we’re the result of four billion years of evolution — and that the future of the earth will last at least as long. When you always have in mind how many generations might follow us, you take a different attitude toward many questions of the present. You realize how much is at stake.

With an eye to the progress and peril that human civilization has wrought, Rees considers the prospective evolutionary future of a post-human intelligence:

We humans of the present are certainly not the summit of Creation. Species more intelligent than us will inhabit the earth. They might even appear quite soon. These days evolution is no longer driven by slow natural development, as Darwin described it, but by human culture. So a post-human intelligence might be made by us ourselves. And I hope that our successors have a better understanding of the world.

Complement this particular portion of the thoroughly invigorating We Are All Stardust — which includes conversations with such titans of science as primatologist Jane Goodall, evolutionary biologist Richard Dawkins, and geographer Jared Diamond — with Freeman Dyson on the unanswerable questions that give meaning to the universe, Simone de Beauvoir on the spiritual rewards of atheism, and Alan Lightman’s poetic ode to science and the unknown.


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from Brain Pickings https://www.brainpickings.org/2017/06/19/martin-rees-interview-science-religion/

The Psychology Principles Every UI/UX Designer Needs to Know

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