For 6-year-old Dave Jr., a long line at Disneyland triggered a massive meltdown. His parents were concerned and a little embarrassed, but not surprised; Dave Jr. struggled to keep his emotions in check.

Hoping to help, Dave Jr.'s uncle, entrepreneur Craig Lund, joined forces with researchers at Harvard Medical School and Boston Children’s Hospital, along with a video game designer who had worked on Quick Hit and NBA 2K. Together, they set out to design something that could teach coping skills to kids like Dave Jr. who need to manage “big emotions,” as well as children suffering from anxiety, ADHD, and other behavior issues, which are on the rise.

Their collaboration resulted in a video game called Mightier and a startup called Neuromotion Labs—a 10-person team of psychologists, game designers, and engineers who embedded at IDEO Cambridge for a one-month sprint to improve the game and get ready for launch.

To play Neuromotion's game, kids are first taught simple, calming breathing exercises. During gameplay, kids wear heart-rate monitors on a wrist or arm that detect spikes caused by stress or anger; as their heart rates go up, the game's difficulty increases. Kids have opportunities to pause and try deep breathing to counter the ramped up challenge. As it turns out, "gamifying" restraint builds strong incentives for kids to take charge of their emotions—they have to if they want to win.

Already activated around boosting mental and emotional health, IDEO's design team worked side-by-side with Neuromotion to study how parents and children experience Mightier. From home visits to group interviews to a summer camp-style design session with kid players, live feedback fueled the next iteration of the gaming platform and better product-market fit.

IDEO helped Neuromotion hone the visual design and mechanics of Mightier and expand it's suite of games. The team observed that the Mightier program was more successful the more involved parents of players became, which revealed a need for additional resources for adults. So they created new supports, including a more detailed orientation and a personalized coaching service for parents staffed by trained therapists.

But can a video game actually help kids cope? Early peer-reviewed studies showed that playing Mightier reduced outbursts by 62 percent, oppositional behaviors by 40 percent, and parental stress by 19 percent. After 12 weeks of using Mightier, a survey of kids and parents showed that 96 percent of parents saw positive behavior changes in their children, while 92 percent of kids learned new coping skills.

Shortly after the design sprint, Neuromotion secured its next round of funding and officially launched Mightier’s array of “bioresponsive games.” The games have already been played more than a million times, and Neuromotion has measured more than a 100 million heartbeats. Mightier games are helping kids and families across the country.

What about Dave Jr.? Recently, his sister told Lund she "accidentally" bumped Dave Jr.’s bike off a pier and into the ocean. She was expecting an outburst of anger, but after eight months of playing Mightier, Dave Jr. stayed cool. His uncle couldn’t be prouder.

Many of us have let vegetables wither in the crisper drawer, or thrown out a child’s half-eaten restaurant meal, but the sheer scale of food waste around the globe is hard to grasp. According to the United Nations, about a third of the food the world produces every year—1.3 billion tons—is lost during production or tossed by consumers, with North Americans throwing out the most food per capita. The average American wastes enough food each month to feed another person for 19 days.

IDEO received a series of grants from The Rockefeller Foundation to find solutions, given the power of IDEO’s human-centered design approach to address systemic challenges. Through a number of projects with The Rockefeller Foundation and other organizations, IDEO designers from across the U.S. devised novel ways to tackle food waste.

For IDEO’s first initiative, designers tapped into the enthusiasm of the broader creative community, in partnership with The Rockefeller Foundation, the City of San Francisco’s Department of Environment, the Closed Loop Foundation, ReFED, and other groups. In the summer of 2016, OpenIDEO—IDEO’s open innovation practice—launched the Food Waste Challenge, asking how people might curtail waste by rethinking our relationship with food. Between June and October, more than 20,000 people from 113 countries took part in the challenge, tracking their personal waste and brainstorming solutions.

Challenge participants submitted more than 450 ideas. A team of food industry experts helped select the 12 top proposals, which included software to help people buy food collectively from wholesalers and a service that delivers extra meals from corporate events to those in need. Ultimately, the Closed Loop Foundation chose to award Full Cycle Bioplastics a $50,000 grant to scale up its idea to convert inedible food and paper waste into a fully compostable alternative to oil-based plastic.

At the conclusion of the Food Waste Challenge, OpenIDEO launched the Food Waste Alliance, a platform for participants and experts to stay engaged with the most promising ideas and innovators. The alliance helped entrepreneurs share resources, prototype new concepts, secure funding, hire staff, and form partnerships. OpenIDEO invited hundreds to join the alliance, and 92 percent of members told IDEO they made progress in their work as a result. One member company, RISE, received funding from another participant who discovered RISE through the alliance. This investment let RISE prototype its concept for milling spent grain from beer brewing into flour for baked goods and ultimately join the prestigious Food-X accelerator.

The Rockefeller Foundation also supported IDEO’s work with City Harvest, a New York organization that collects 160,000 pounds of unused food each day and delivers it to soup kitchens and food pantries. City Harvest wanted to understand the habits of local families who visit food banks in an effort to ensure all the food the group distributes gets eaten. To get a peek into these families’ kitchens, in January 2017, IDEO researchers conducted observations and interviews across New York City’s five boroughs. Pantry customers cooked for the researchers, giving them an inside look at how the families engaged with the food they had available and what food meant to each of them: tradition, stability, even adventure. Based on insights from pantry visitors, IDEO made recommendations for City Harvest, including community-run cooking classes and a way for families to request specific foods or reserve pick-up times by text message. IDEO also created three video vignettes to help build even greater empathy between City Harvest and the people it serves.

In spring 2017, capping IDEO’s work with The Rockefeller Foundation, the organizations teamed up with World Wildlife Fund and Hyatt hotels in Florida, New York, and New Jersey to rethink all-you-can-eat buffets. IDEO studied diners and staff at Hyatt buffets and found that employees—from event planners to kitchen staff—each add a cushion of extra food to cover their bases, while guests overfill their plates to avoid missing out. In the end, diners eat just half the food organizers serve, while the rest goes to waste. This and other data-driven insights gleaned about diners’ habits led to subtle substitutions, including smaller plates of meats and cheeses that can be ordered from servers and individual pastries rather than whole cakes. These alternatives have not only built on Hyatt’s existing food waste management strategies, but have also helped reduce buffet costs at Hyatt Regency Orlando and continued to receive support from guests.

The problem of food waste is too enormous to ignore. Wasted food means squandered resources, lost money, and ultimately, hungry people—more than 15 million in the United States alone. Designers and innovators from coast to coast have helped find solutions to the crisis that fulfill a variety of needs, from preserving produce sent to food pantries to keeping plastic packaging out of the oceans. The Rockefeller Foundation and other IDEO partners are leveraging powerful design techniques to pave the way for a waste-free future.

In 2017, IDEO acquired longtime partner Datascope and integrated the company’s data scientists and engineers. Datascope team members aren’t just passionate data scientists; they’re human-centered designers who happen to work with data, as illustrated by successful collaborations like this one:

In today’s job market, there’s no such thing as being "done" with your education. This is particularly true in the fields of data science, machine learning, and AI, where significant advances are made on a monthly basis. To meet this need for more in-depth training, Metis—part of Kaplan—wanted to create a comprehensive data science program for students from all backgrounds. Metis asked Datascope to design the curriculum from scratch, drawing on the company’s deep expertise in the field.

Datascope spoke with practitioners across industries to identify the key skill sets that make them successful: a grasp of design; fluency with data management, coding, and algorithms; and effective communication with coworkers and the wider world. The team crafted a 12-week bootcamp that develops these specific abilities.

In order to prepare students for the work world, the bootcamp is structured less like a class and more like a company, where students are “hired” as data scientists—with projects to complete—starting on day one.

Students collaborate on group projects and presentations in a way that mirrors real workflows, and practice pair programming to learn from one another. Using techniques drawn from design, students are invited to refine their project briefs and continually reevaluate their approach.

Instead of a final exam, at the end of the course, students tackle five real-world, open-ended data science projects inspired by Datascope’s client work. One project involves using data from subway turnstiles to detect patterns in the volume of street traffic; another asks students to use data they scrape from the web to predict a movie’s box office profits using regression analysis.

After students complete the bootcamp, they receive an additional three months of career support, from mock interviews to site visits with potential employers. In addition to designing the curriculum, Datascope taught the first three student cohorts and helped Metis build its teaching team as it expanded the program from New York to San Francisco, Chicago, and Seattle. Metis now offers online courses, evening classes, and corporate trainings in data science.

If you’re going to take a data science bootcamp, it’s best to take one designed by data scientists.

You’re whizzing along on your bike, en route to a new restaurant for a client meeting. You reach an unfamiliar intersection; which way to go now?

Instead of dismounting and digging for a phone, you brush your hand along your jacket sleeve for directions, then double-tap the denim to re-start your music. Without taking your eyes off the road, you’ve taken care of the problem.

This intuitive interface for connected apparel began with Levi's, makers of durable workwear for 140 years, and Google, creators of forward-looking technology, which joined forces to fashion the first item of clothing with touch-sensitive, copper-core threads woven directly into the fabric. Once it was established that the first connected garment from the partnership would be a jacket within Levi’s Commuter line, with interaction on the sleeve, Google worked with IDEO, leaders in designing for human needs, to develop the gesture language of the jacket and industrial design of the technology within.

This is the first connected garment that helps us break free from devices. It seamlessly incorporates Jacquard by Google technology to perform digital tasks, such as navigation, communication, and music playing with a few swipes or taps on the sleeve.

Jacquard by Google—a platform that makes it possible to integrate touch and gesture interactivity into fabrics using conductive yarn and standard, industrial looms—was inspired by a curious twist of history. The Jacquard loom, invented in France in 1804, used punch cards to automate the process of weaving complex patterns into fabric. In the 1940s and ’50s, engineers employed a similar punch-card technique to program the first computers.

IDEO spent time on the project early on, collaborating with Google engineers and Levi’s clothiers on the jacket’s development, helping craft an experience that would make the intelligent threads intuitive to wearers.

Working alongside Google and Levi’s, IDEO’s work included:

• The industrial design of the electronics integrated into the snap tag and connector (the tag snaps onto the jacket’s cuff and connects to your phone via Bluetooth)
• A vocabulary of gestures on the cuff of the jacket that lets you interact with the jacket’s technology
• Early exploration of the basic design philosophy and conceptual design for the interaction model of a corresponding smartphone app that ties it all together (works with both iOS and Android phones)

The IDEO team’s first task was to validate what commuters of all stripes wanted from the garment, in addition to the work Levi’s did in researching with its consumers. In interviews, group exercises, and wear tests with urban cyclists and other workers on the go, the team learned that cyclists needed a way to stay connected, while still living in the moment. That meant being able to answer calls, hear text messages, get the next direction, and control their music without using a screen.

Levi’s, Google, and IDEO developed a language of movement for Jacquard-enabled fabric that feels familiar and human and builds on the ways people would naturally interact with a garment (a whole-hand brush along the sleeve, as opposed to a one-finger tap on a touch screen, for instance).

Then came the design and engineering of the snap tag on the jacket’s cuff, which gently notifies you of calls, texts, and other jacket interactions with light and vibration feedback. The flexible, lightweight strap incorporates the look and feel of a Levi’s jean button, while housing advanced electronics that capture touch data. The tag is removable, charges via USB connection, and works in conjunction with a mobile app that lets you configure settings for the garment, set notifications, and customize gestures and interactions.

The Levi’s Commuter Jacket with Jacquard by Google changes the game because it’s simply that—a jacket—with technology that adds new utility and value, allowing us to wear our everyday interactions on our sleeves.

The Levi’s Commuter Trucker Jacket with Jacquard by Google hit stores in October 2017.

IDEO and Google have a long history of collaboration. Learn more about our work on Google Bloks here.

Blockchain is a relatively new technology that will soon replace the underlying structure for a lot of the applications and services we use today, including systems for managing our finances, tracking our health, and determining how we connect, transact, and communicate with each other.

So, while it’s tempting to write off blockchains as something to leave to the coders, the potential human impact is too big to ignore. There will be user experiences, communications, and other completely new elements that will need to be carefully designed.

At IDEO CoLab, we explore the potential of emerging technologies like artificial intelligence and the Distributed Web by building prototypes in quarterly sprints. A crucial part of our mission is considering human-centered values in the process of building for the future—creating things the world actually needs, not just more technology.

Here are three reasons why designers need to start thinking about blockchain technology today:

1. It’s bigger than just cryptocurrency

Many people are familiar with cryptocurrencies like Bitcoin and Ethereum. (And for those who aren’t, here’s a quick video that explains the basics.) Blockchain is the technology that forms the underlying structure for these digital currencies, and gives them the unique qualities that make them different from conventional lucre like the US Dollar. That structure includes the ability to exchange funds directly with anybody, anywhere in the world, without the need for an intermediary like PayPal, Visa, or Citibank.

But what most people don’t understand yet is that blockchain technology is about so much more than digital coins. At its essence, a blockchain is a new type of digital ledger which records information in a publicly-verified, traceable way across a decentralized network of devices. What this means is information for, say, an app isn’t just stored on a privately-owned server somewhere—it’s stored across multiple devices that communicate with each other to verify user activity, rather than referencing one central authority, like a Wells Fargo or Google.

Blockchains offer a new way of tracking information, and their applications are broad. Not only are they expected to pervade the financial industry, they’re also being integrated into global shipping, parts tracking, digital identity, healthcare, and other systems. In fact, it’s hard to think of an industry that relies on technology that wouldn’t benefit from using a blockchain.

With a potential to reach millions—even billions!—of people, designers need to start thinking about how they can use their skills to improve the user experience for all of the products and services that will be built on top of this new infrastructure.

2. It will change how humans interact with one another

Blockchain isn’t just a technology, it’s also a state of mind. Well, okay, that might just be the Californian in me talking, but all exaggeration and hype aside, blockchains are going to have a big impact on our culture too.

We’ll come to expect new things from our relationships with other people and parties, based on how blockchains manage our digital interactions. Mirroring the open, accessible code structure, people will expect the companies they do business with are open and accessible as well.

Consumers will demand more information about the goods and services they purchase. Companies will be held to a higher standard of data security.

Trust will become perhaps the most important design element in any system.

Imagine a world where all interactions are more egalitarian, transparent, and traceable—what would that look like? How might we design for this new world view?

(Check out this talk from CoLab’s Gavin McDermott to learn more about the 10 key landmarks of the decentralized web movement.)

3. Technology needs design more than ever

Our world is changing at lightspeed. As new technologies and tools are released daily, it’s easy to get caught up in the rapid pace without stopping to think about the human impact of what we’re creating.

We have a tendency to think of code and algorithms as neutral tools, but they’re not. Technology is neither good nor bad, it's how we apply it that matters. Everything we create has a human imprint on it—our assumptions, hopes, and fears are built into the systems we design (the bias in algorithms has been getting a lot of ink lately).

That’s why, moving forward, we’re going to need a group of people that advocate for the human experience—and human rights—as we develop these technologies. Especially right now, as emerging technologies like blockchain begin to take form, it’s important for designers to have a voice in that process from the very beginning.

How do you envision the designer's role evolving alongside blockchain developers? Let us know on Twitter or Instagram #blockchaindesign

Looking for ways to get started designing for blockchains? Check out this list of quick prototyping tools for emerging technologies from IDEO CoLab.

Blockchain. You’ve heard the word. Perhaps you’ve invested in a digital currency or two. But do you really know what the technology is and why it matters? It all sounds deeply technical—and it is. But it's important to understand this new tool, as it will have a big impact on our lives—radically altering how we live, work, and play.

We were joking about how Aaron's last name is pretty similar to Furby, the interactive Gremlin look-a-like toy from the late 90s. Someone suggested it would be funny if we modified a Furby so that instead of speaking Furbish (I think that's what people call the language Furbys speak?), it would repeat phrases in Aaron's voice. At first, it was just a joke, but then I mentioned I had a couple Furbys at home I'd been meaning to hack…

What’s a Furby?

For the unfamiliar, Furby was a coveted toy when it hit the market in 1998. Seriously. More than 40 million of the hamster-esque creature were sold in its first three years of production. Kids fell in love with it because of its child-like nature and the fact that it required feeding, nurturing, and constant attention. It also only spoke Furbish out of the box, developing an English vocabulary over time as kids talked to it.

Because the Furby was one of the first widely-marketed toy robots, it also appealed to the hacking community. In the early years, there were some news stories about whether the microphone inside Furby was listening in on private conversations, but thankfully, Furby does not use the microphone to record audio. Because of the ruckus over the microphone, there is a wealth of information on the internet about how to properly deconstruct a Furby, and how the Furby's insides function.

How I did it

The first step was to take Furby apart. Unfortunately, due to Furby's realistic personality, the process of deconstructing the Furby felt more like field dressing an animal. I had to delicately skin the toy so that I would be able to resurrect it later.

Once the Furby was dissembled I put together a vice to clamp down its skeleton; it almost looked like I was torturing it until it would talk...and in a way, I kind of was. With the Furby in place, I was able to access its inner circuitry and check out its voice box. After some initial probing, I turned back to the internet again and was able to find a full schematic of Furby’s insides, which meant I no longer had to guess and check what each part was used for and how they were connected. I could also disconnect the voice box.

After some reading, I decided that the best option for triggering voice playback would be to use the motors. Furby always moves and talks at the same time, so any time the motors are working, he should be talking. If I used any of its switches (belly, mouth/tongue, gyroscope, etc.) as an audio trigger, I would miss Furby’s unprovoked audio actions, the ones it does without user input. (Sometimes the Furby will start singing or fall asleep on its own.) Those actions are triggered internally, and I didn't have the time or resources to begin understanding how a Furby's brain works.

To build the the audio playback, I used a circuit board I created a few years ago that's a variation of Adafruit's wav/ogg audio fx board. My audio playback board is very similar, but it also includes the necessary circuitry for charging a connected lithium-ion battery. With this addition (and a voltage booster), I was able to power the Furby from a rechargeable source, rather than four AA batteries.

Now that most of the individual pieces were developed, it was time to play Dr. Frankenstein and connect the parts together to give Franken-Furby life.

I used the newly vacant battery holder space to store the Furby’s new guts...err circuitry. This was an ideal location because there were already holes to run new wiring up to the Furby’s body. I added a wire to break out the motor trigger line for monitoring. I was able to monitor the motor with a basic analog comparator (LM311), and use the output to trigger audio playback. I then amplified the audio output with a class D amp, before connecting to the Furby’s speaker with two more wires.

Last, but not least, I added a few clips of Aaron speaking at various events to the audio playback board. We may or may not have have played around with loading some more inappropriate vocals (i.e. creepy laughing and other Halloween-themed sounds) first for kicks, but things got a little too creepy, so that didn’t last long.

The result

We presented the Franken-Furby to Aaron at his goodbye party, and it was a hit! Unfortunately, because it was a goodbye gift, it's no longer possible to work on that Furby anymore. But I’m game to hack more Furbys. My next goal is to create a new version, perhaps integrating all the circuitry onto a single circuit board, and hopefully dig a little deeper into understanding how Furbys operate.

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Our Chicago office has a tradition of giving silly but relevant goodbye gifts to departing colleagues. The goal is to make their exit a little more light-hearted for everyone, as well as give our erstwhile colleagues a sort of inside joke to take with them. When a friend and colleague of mine, Aaron Ferber, was leaving to pursue another passion in St. Louis, we started ginning up ideas for his send-off.

Thankfully, we have smarter tech tools than ever to help us spin through these cycles at a sprint. In a recent Quora Session hosted by IDEO U, we reached out to the entire IDEO community to ask what design research technology and other trends they're excited about. Here’s what we heard:

1. Going rogue

Influenced by Jan Chipchase and The Field Study Handbook, the “pop-up studio” model for doing design research in challenging, less-explored environments is finding success. Chipchase describes a pop-up studio as “a live/work space optimized for teams working toward a shared goal ... highly suited to international research, design, and innovation projects that require speedy immersion.” He talks more about the pop-up studio model in this Co.Design piece (and excerpt from The Field Study Handbook), “How To Do Great Design Research Anywhere On Earth.”

2. Smart sensors

Though some smart sensors are still in the early stages, looking at how sensors (from FitBits to smart moodmetric rings) can help inform our understanding of users' experiences. Projects like MIT's Dermal Abyss look into a future of smart, sensing tattoos.

3. Changes in data + privacy

With the General Data Protection Regulation (GDRP) taking effect in May 2018, design researchers in the EU and beyond will have to address changes to data privacy in a human-centered way, both in how we design our research, and in terms of how we explain it to participants. Understanding what that looks like in practice is important, so we published a little yellow book of Design Research Ethics.

4. Testing concepts in virtual + mixed reality

Augmented Reality (AR) and Virtual Reality (VR) are uniquely experiential and portable, allowing you to visualize complex ideas and measure user engagement in new ways. You can fully immerse users in an experience, get their reaction, and help them co-design (or redesign) an environment or experience on the spot using mixed reality prototypes. And now ARkits allow you to fully transplant a VR experiment with optical calibration—which allows you to retain the spatial boundaries and physics of a VR-created space anywhere on your phone. It’s pretty incredible.

5. Working alongside data science + machine learning

Most of us at IDEO predict that data science will complement and enhance a deeper understanding of qualitative research. By expanding our reach into data science, we’ll be able to understand how our designs are being used during live prototyping and piloting. Rather than relying exclusively on self-reported behaviors and stories, we’ll be able to collect actual interaction data.

But perhaps more interestingly, we’ll also be well-positioned to understand, both qualitatively and quantitatively, how a new artifact is causing a ripple in the ecosystem in which it was placed. As we strive to create disproportionate impact in the world, we’ll now have insight into what’s successful, and what’s impeding success. By introducing new areas of expertise into design research—legal design, policy design, infrastructure design, organizational design, behavioral economics, urban planning, macroeconomics, and more—we can begin to shift some of the fundamental underpinnings that can cause negative and adverse outcomes at individual, group, organizational, and societal levels.

6. Neuroscience x design research

One of our design researchers who studied cognitive neuroscience notes that there is a major connection between the brain and design—and a lot that we still don't know about that connection. This Quartz article discusses how neuroscience can help us create more effective human-centered cities. “Technology has now reached the stage where we can translate decades of neuroscience and psychological research from the lab into the city,” says neuroscientist Dr. Hugo Spiers of University College London. Now when we test prototypes, we can measure behavior, cognition, emotional reactions, physiological markers, and brain activity. Here are a couple more articles on the subject, from Forbes and The Leading Strand.

7. Digital forensics x design research

As technology becomes more ingrained in our daily lives, understanding how we live our digital lives—and the digital trail we leave as we go—will help unlock insights into new behavior.

8. Ethics in the age of artificial intelligence

Artificial Intelligence (AI) changes interaction and design in a way that's dynamic and incredibly complex. Because of its scale, adoption speed, and widespread human impact, it's important that someone raise a hand and ask the question, "Even though we can create this, should we?" Not all AI models are transparent and design researchers will increasingly become the voice in the room questioning its development. This isn't any different than what we do now, but it's more important in the age of AI.

This content originally appeared in a Quora Session hosted by IDEO on November 1, 2017. Special thanks to Ovetta Sampson, Dan Perkel, Michael Chapman, Samantha Miller, Rebecca Wint, Alana Murao, Mike Peng, Geoff Schwarten, Erin Bogar, Saige Perry, and Katie Clark for their contributions!

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Understanding the human challenge we're designing for is as much about inspiration as it is about information. Design research now happens in quick loops—gathering insights, building rapid prototypes, and getting feedback—rather than in a long and rigorous discovery phase.

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We have become accustomed to relating to these interfaces, and increasingly they are able to relate to us—taking in the world around them, talking to their users, and even inferring our emotions from how our faces change shape. I call this layer an Affective User Interface (AUI), a term borrowed from the field of Affective Computing.

Affective Computing is a field of computer science that develops technology that we might consider intelligent and emotionally aware. These new interfaces present a slew of opportunities and challenges, because as Dr. Cynthia Breazeal of the MIT Media Lab points out in her book Designing Sociable Robots, when a technology “behaves in a socially competent manner” our evolutionary hardwiring causes us to interact with it as if it were human.

And once we enter into that relationship, the personas we design for these bots affect our behavior, too. I’ve heard many people say that unassertive bots often bring out the worst in kids. When there are no social checks on rudeness—bots don’t tattle, after all—children tend to be more blunt, and can even become abusive.

That lack of assertiveness also affects adults. Reporter Leah Fessler researched how female-gendered bots respond to sexual harassment. It turns out that the assistants’ permissive personas can reinforce some disturbing stereotypes about women, and allow the user free reign to degrade them at will.

If bots can have a gender, I started to wonder whether they might also have a cultural or even racial identity. Considering the fact that these products allow us to choose between various accents, it would seem that designers have created nationalities for our bots.

I'm certainly not the first person to surface these issues. This New York Times piece by AI Now's Kate Crawford about "Artificial Intelligence’s White Guy Problem" comes to mind. And there are many people here at IDEO who are thinking through what it means to be inclusive human-centered designers as we work on Augmented Intelligence projects.

To explore this further, I decided to conduct an experiment to surface the personality of these bots by interviewing them.

The key was to ask soft questions: Where are you from? How old are you? Do you have any kids? What do you look like? Even, Tell me a story.

These interactions were not actionable queries, and thus triggered purely conversational responses that revealed the “personality” that the bots’ creators had designed.

I recorded a video interview with each voice assistant and handed these over to a number of illustrators commissioned via the social gig site Fiverr. While a few of the artists had previous exposure to the bots, I was able to source English-speaking international artists in markets where Alexa and/or Siri were not available. Countries of origin included Indonesia, Pakistan, Ukraine, Venezuela, the Philippines, and the U.S. For many of them, my videos were their first meaningful exposure.

Here are the images that came back:

Drawings representing Alexa and Siri based on video interviews I'd done by illustrators who had little to no previous exposure to the assistants.

Gender came through clearly, but I would also argue that none of the illustrations depict a person of color. Whether they were intentionally designed that way is not the issue. If users perceive the bots this way, what kind of cultural pressures are they carrying into the home?

It’s something I think about a lot as a first-generation American who has worked in and around tech throughout my career. On my father’s side, I’m the second U.S.-born family member, and on my mom’s side, I’m the first. I grew up in a diverse community, and the tapestry of cultures I experienced was simply normal, everyday life.

I was aware of code-switching pretty early on; many of my friends and family had their normal voice and their “professional” voice, and they chose which to use in different environments.

Looking back, I first learned about it when my mom gave a wedding speech.

My brother was shocked; he didn’t recognize the voice that he heard. I had to explain to him this was my mother’s work voice. Code switching isn’t inherently bad—we all do it to some degree—but if we’re to design Affective User Interfaces that are truly human-centered, then we must consider that for some, the switch requires more effort.

Inclusivity is not just an issue at the bleeding edge of tech. We’re seeing a growing body of evidence that those who speak outside of mainstream vernaculars have a harder time being properly recognized by affective systems.

This represents an accessibility challenge, but one that is resultant from a cultural rather than physical challenge. In a tech industry that is known to be monocultural, we must take steps to ensure our affective systems are not just designed to be useful to their creators, but inclusive of the full spectrum of people their products will serve.

Because ultimately what’s at stake is trust. Studies have shown that when brands lose trust, they lose customers.

As designers, it’s our job to expand the usability of our affective devices to ensure they serve the rich tapestry of people, cultures, and vernaculars they will encounter.

Beyond being good design, it’s good for business, because in our affective future the products that win will be the ones that users trust.

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Behind every interface, there's a designer. More like a team of them. And those designers have a lot to consider: What should Siri sound like? What kinds of things will people ask Alexa to do? How will users expect the Kuri robot to respond when they crack a joke?

I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.

Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.

My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.

I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.

For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?

My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.

Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.

I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.

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My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.

I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.

I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.

Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.

I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.

I advise global leaders on developing China-led innovation and capabilities.

In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.

Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.

Most AI products today are built for work—a space with clear problems and established systems. One founder noticed a gap: personal life is messier, harder to systematize, and mostly left behind by the AI boom. So she built Cue, a personal AI that lives inside iMessage and group chats, to go where the other tools haven't.

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In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.

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The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.

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This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.

Most personal financial tools are built to run the numbers and optimize towards a budget. While that works for some, most people experience money as a lived relationship that does not neatly fit into a spreadsheet. Johannes Seemann and Becca Carroll discuss why money is emotional before it is mathematical, and what a human-centered approach to building a generative AI financial product looks like in practice.

Mina Seetharaman talks with Scott Shigeoka, author of Seek and Head of Curiosity Cultivation at the Eames Institute, about what distinguishes genuinely curious leadership from performative curiosity, how power dynamics shape curiosity, and why practicing curiosity can restore energy rather than drain it.

Mina Seetharaman talks with David Epstein, author of Inside the Box and Range, about why total freedom often produces average work, how leaders can design useful limits on purpose, and what organizations such as General Magic and Pixar reveal about the relationship between boundaries and creativity.