UX Design Creating Transparency and Trust for Machine Learning

How we make machine learning transparent to our customers is one of the great design challenges of our time—and a very necessary one. Machine learning refers to different kinds of algorithms that learn from inputs like human interaction or data and create evolving feedback over time from that input. It can use preexisting data to … Read more

Customer Engagement and Machine Learning

Today’s consumers are overwhelmed by a constant deluge of advertisements and promotions. They are tired of the noise and fatigued by all the product options. They increasingly desire the personalized attention they get from Amazon, Netflix and other brands they interact with. We are living in an experience economy where mere goods and services are … Read more

Experience Design, Machine Learning and the Platinum Rule

The Golden Rule or law of reciprocity is the principle of treating others as one would wish to be treated. It is a maxim of altruism seen in many religions and cultures. Simply stated, “One should treat others as one would like others to treat oneself.” As a child, I learned it as “Do onto others as you would want them to do … Read more

The Right Color Palette for Data Visualization

While visually appealing (harmonious) color palettes are easy to come by these days, finding the right color palette for data visualizations is challenging. Things are made more difficult, as we need to convey information across thousands of unique data sets in many different types of visualization layouts. And then there are issues like accessibility, enough … Read more

Design and Data Science: Creating Meaningful Experiences in the Machine Learning Era

With the advance of machine learning and “artificial intelligence” (AI), it has become the responsibility of both designers and data scientists to understand how to shape experiences that improve lives. As Greg Borenstein argues in Power to the People: How One Unknown Group of Researchers Holds the Key to Using AI to Solve Real Human Problems: … Read more

The Partnership Between Designers and Data Scientists

From Experience Design in the Machine Learning Era, Fabien Girardin shares that with a behavioral data-driven experiences, we exploit thick data, the qualitative information that provides insights on people’s lives, big data from the aggregated behavioral data of millions of people and the small data that each individual generates. Traditionally, designers focus on defining the experience of the service, feature or … Read more

The New Relation Between Humans and Machines

“The experiences powered by machine learning are not linear or based on static business and design rules. They evolve according to human behaviors with constantly updating models fed by streams of data. Each product or service becomes almost like a living, breathing thing. Or as people at Google would say: ‘It’s a different kind of … Read more

Experience Design Principles for Machine Learning Solutions

“Nowadays, the design of many digital services does not only rely on data manipulation and information design but also on systems that learn from their users.” – Fabien Girardin, Experience Design in the Machine Learning Era Behavioral data – human interactions (transactions) with systems – is fed as context to algorithms that generates knowledge. An … Read more

Data Visualizations: Storytelling and Persuasion

In Data Visualization: Your Secret Weapon in Storytelling and Persuasion, Adam Singer, Analytics Advocate at Google shares: “In a world increasingly saturated with data and information, visualizations are a potent way to break through the clutter, tell your story, and persuade people to action.” Statistics are good but showing your data in context of what … Read more