The Right Number is a gentle, noncommercial space where your only job is to be yourself. Upon dialing you’ll be connected to a voicemail box and given a brief prompt. You have three minutes to answer however you’d like.
Monday, March 8th, 2021
Monday, October 12th, 2020
The Web History podcast
Recently Jay started publishing essays on web history over on CSS Tricks:
Round about that time, Chris floated the idea of having people record themselves reading blog posts. I immediately volunteered my services for the web history essays.
So now you can listen to me reading Jay’s words:
Each chapter is round about half an hour long so that’s a solid two hours or so of me yapping.
And if you just can’t get enough of my voice, there’s always the Clearleft podcast …although that’s mostly other people talking, thank goodness.
Tuesday, June 23rd, 2020
This is a great short introduction to using VoiceOver with Safari by the one and only Ethan Marcotte.
Wednesday, November 27th, 2019
Accessibility on The Session revisited
Earlier this year, I wrote about an accessibility issue I was having on The Session. Specifically, it was an issue with Ajax and pagination. But I managed to sort it out, and the lesson was very clear:
As is so often the case, the issue was with me trying to be too clever with ARIA, and the solution was to ease up on adding so many ARIA attributes.
Wherever the pagination pattern appears, there are “previous” and “next” links, marked up with the appropriate
rel="next" attributes. Well, apparently past me thought it would be clever to add some ARIA attributes in there too. My thinking must’ve been something like this:
- Those links control the area of the page with the search results.
- That area of the page has an ID of “results”.
- I should add
aria-controls="results"to those links.
That was the problem …which is kind of weird, because VoiceOver isn’t supposed to have any support for
aria-controls. Anyway, once I removed that attribute from the links, everything worked just fine.
Just as the solution last time was to remove the
aria-atomic attribute on the updated area, the solution this time was to remove the
aria-controls attribute on the links that trigger the update. Maybe this time I’ll learn my lesson: don’t mess with ARIA attributes you don’t understand.
Tuesday, August 27th, 2019
Voice User Interface Design by Cheryl Platz
Why make a voice interface?
Successful voice interfaces aren’t necessarily solving new problems. They’re used to solve problems that other devices have already solved. Think about kitchen timers. There are lots of ways to set a timer. Your oven might have one. Your phone has one. Why use a $200 device to solve this mundane problem? Same goes for listening to music, news, and weather.
People are using voice interfaces for solving ordinary problems. Why? Context matters. If you’re carrying a toddler, then setting a kitchen timer can be tricky so a voice-activated timer is quite appealing. But why is voice is happening now?
Humans have been developing the art of conversation for thousands of years. It’s one of the first skills we learn. It’s deeply instinctual. Most humans use speach instinctively every day. You can’t necessarily say that about using a keyboard or a mouse.
Voice-based user interfaces are not new. Not just the idea—which we’ve seen in Star Trek—but the actual implementation. Bell Labs had Audrey back in 1952. It recognised ten words—the digits zero through nine. Why did it take so long to get to Alexa?
In the late 70s, DARPA issued a challenge to create a voice-activated system. Carnagie Mellon came up with Harpy (with a thousand word grammar). But none of the solutions could respond in real time. In conversation, we expect a break of no more than 200 or 300 milliseconds.
In the 1980s, computing power couldn’t keep up with voice technology, so progress kind of stopped. Time passed. Things finally started to catch up in the 90s with things like Dragon Naturally Speaking. But that was still about vocabulary, not grammar. By the 2000s, small grammars were starting to show up—starting an X-Box or pausing Netflix. In 2008, Google Voice Search arrived on the iPhone and natural language interaction began to arrive.
What makes natural language interactions so special? It requires minimal training because it uses the conversational muscles we’ve been working for a lifetime. It unlocks the ability to have more forgiving, less robotic conversations with devices. There might be ten different ways to set a timer.
Natural language interactions can also free us from “screen magnetism”—that tendency to stay on a device even when our original task is complete. Voice also enables fast and forgiving searches of huge catalogues without time spent typing or browsing. You can pick a needle straight out of a haystack.
Natural language interactions are excellent for older customers. These interfaces don’t intimidate people without dexterity, vision, or digital experience. Voice input often leads to more inclusive experiences. Many customers with visual or physical disabilities can’t use traditional graphical interfaces. Voice experiences throw open the door of opportunity for some people. However, voice experience can exclude people with speech difficulties.
Making the case for voice interfaces
There’s a misconception that you need to work at Amazon, Google, or Apple to work on a voice interface, or at least that you need to have a big product team. But Cheryl was able to make her first Alexa “skill” in a week. If you’re a web developer, you’re good to go. Your voice “interaction model” is just JSON.
How do you get your product team on board? Find the customers (and situations) you might have excluded with traditional input. Tell the stories of people whose hands are full, or who are vision impaired. You can also point to the adoption rate numbers for smart speakers.
You’ll need to show your scenario in context. Otherwise people will ask, “why can’t we just build an app for this?” Conduct research to demonstrate the appeal of a voice interface. Storyboarding is very useful for visualising the context of use and highlighting existing pain points.
Getting started with voice interfaces
You’ve got to understand how the technology works in order to adapt to how it fails. Here are a few basic concepts.
Utterance. A word, phrase, or sentence spoken by a customer. This is the true form of what the customer provides.
Intent. This is the meaning behind a customer’s request. This is an important distinction because one intent could have thousands of different utterances.
Prompt. The text of a system response that will be provided to a customer. The audio version of a prompt, if needed, is generated separately using text to speech.
Grammar. A finite set of expected utterances. It’s a list. Usually, each entry in a grammar is paired with an intent. Many interfaces start out as being simple grammars before moving on to a machine-learning model later once the concept has been proven.
Here’s the general idea with “artificial intelligence”…
There’s a human with a core intent to do something in the real world, like knowing when the cookies in the oven are done. This is translated into an intent like, “set a 15 minute timer.” That’s the utterance that’s translated into a string. But it hasn’t yet been parsed as language. That string is passed into a natural language understanding system. What comes is a data structure that represents the customers goal e.g. intent=timer; duration=15 minutes. That’s sent to the business logic where a timer is actually step. For a good voice interface, you also want to send back a response e.g. “setting timer for 15 minutes starting now.”
That seems simple enough, right? What’s so hard about designing for voice?
Natural language interfaces are a form of artifical intelligence so it’s not deterministic. There’s a lot of ruling out false positives. Unlike graphical interfaces, voice interfaces are driven by probability.
How do you turn a sound wave into an understandable instruction? It’s a lot like teaching a child. You feed a lot of data into a statistical model. That’s how machine learning works. It’s a probability game. That’s where it gets interesting for design—given a bunch of possible options, we need to use context to zero in on the most correct choice. This is where confidence ratings come in: the system will return the probability that a response is correct. Effectively, the system is telling you how sure or not it is about possible results. If the customer makes a request in an unusual or unexpected way, our system is likely to guess incorrectly. That’s because the system is being given something new.
Designing a conversation is relatively straightforward. But 80% of your voice design time will be spent designing for what happens when things go wrong. In voice recognition, edge cases are front and centre.
Here’s another challenge. Interaction with most voice interfaces is part conversation, part performance. Most interactions are not private.
Humans don’t distinguish digital speech fom human speech. That means these devices are intrinsically social. Our brains our wired to try to extract social information, even form digital speech. See, for example, why it’s such a big question as to what gender a voice interface has.
Delivering a voice interface
Storyboards help depict the context of use. Sample dialogues are your new wireframes. These are little scripts that not only cover the happy path, but also your edge case. Then you reverse engineer from there.
Flow diagrams communicate customer states, but don’t use the actual text in them.
Prompt lists are your final deliverable.
Functional prototypes are really important for voice interfaces. You’ll learn the real way that customers will ask for things.
If you build a working prototype, you’ll be building two things: a natural language interaction model (often a JSON file) and custom business logic (in a programming language).
Eventually voice design will become a core competency, much like mobile, which was once separate.
Ask yourself what tasks your customers complete on your site that feel clunkly. Remember that voice desing is almost never about new scenarious. Start your journey into voice interfaces by tackling old problems in new, more inclusive ways.
May the voice be with you!
Monday, March 4th, 2019
Designing for Trust in an Uncertain World by Margot Bloomstein
The second talk of the first day of An Event Apart Seattle is from Margot Bloomstein. She’ll be speaking about Designing for Trust in an Uncertain World. The talk description reads:
Mass media and our most cynical memes say we live in a post-fact era. So who can we trust—and how do our users invest their trust? Expert opinions are a thing of the past; we favor user reviews from “people like us” whether we’re planning a meal or prioritizing a newsfeed. But as our filter bubbles burst, consumers and citizens alike turn inward for the truth. By designing for empowerment, the smartest organizations meet them there.
We must empower our audiences to earn their trust—not the other way around—and our tactical choices in content and design can fuel empowerment. Margot will walk you through examples from retail, publishing, government, and other industries to detail what you can do to meet unprecedented problems in information consumption. Learn how voice, volume, and vulnerability can inform your design and content strategy to earn the trust of your users. We’ll ask the tough questions: How do brands develop rapport when audiences let emotion cloud logic? Can you design around cultural predisposition to improve public safety? And how do voice and vulnerability go beyond buzzwords and into broader corporate strategy? Learn how these questions can drive design choices in organizations of any size and industry—and discover how your choices can empower users and rebuild our very sense of trust itself.
I’m sitting in the audience, trying to write down the gist of what she’s saying…
She begins by thanking us for joining her to confront some big problems. About ten years ago, A List Apart was the first publication to publish a piece of hers. It had excellent editors—Carolyn, Erin, and so on. The web was a lot smaller ten years ago. Our problems are bigger now. Our responsibilities are bigger now. But our opportunities are bigger now too.
Margot takes us back to 1961. The Twilight Zone aired an episode called The Mirror. We’re in South America where a stealthy band are working to take over the government. The rebels confront the leader. He shares a secret with them. He shows them a mirror that reveals his enemies. The revolution is successful. The rebels assume power. The rebel leader starts to use the same oppressive techniques as his predecessor. One day he says in his magic mirror the same group of friends that he worked with to assume power. Now they’re working to depose him, according to the mirror. He rounds them up and has them killed. One day he sees himself in the mirror. He smashes the mirror with his gun. He is incredibly angry. A priest walking past the door hears a commotion. The priest hears a gunshot. Entering the room, he sees the rebel leader dead on the ground with the gun in his hand.
We look to see ourselves. We look to see the truth. We hope the images coincide.
When our users see themselves, and then see the world around them, the images don’t coincide.
Internal truths trump external facts.
We used to place trust in brands. Now we’ve knocked them off the pedestal, or they’ve knocked themselves off the pedestal. They’ve been shady. Creeping inconsistencies. Departments of government are exhorting people not to trust external sources. It’s gaslighting. The blowback of gaslighting is broad. It effects us. An insidious scepticism—of journalism, of politics, of brands. This is our problem now.
To regain the trust of our audiences, we must empower them.
Why now? Maybe some of this does fall on our recent history. We punish politicians for flip-flopping and yet now Rudy Giuliani and Donald Trump simply deny reality, completely contradicting their previous positions. The flip-flopping doesn’t matter. If you were a Trump supporter before, you continued to support him. No amount of information would cause you to change your mind.
Inconsistency erodes our ability to evaluate and trust. In some media circles, coached scepticism, false equivalency, and rampant air quotes all work to erode consensus. It offers us a cosy echo chamber. It’s comforting. It’s the journalism of affirmation. But our ability to evaluate information for ourselves suffers. Again, that’s gaslighting.
You can find media that bolsters your existing opinions. It’s a strange space that focuses more on hiding information, while claiming to be unbiased. It works to separate the listener, viewer, and reader from their own lived experiences. If you work in public services, this effects you.
Do we get comfortable in our faith, or confidentally test our beliefs through education?
Marketing relies on us re-evaluating our choices. Now we’ve turned away from the old arbiters of experts. We’ve moved from expertise to homophily—only listening to people like us. But people have recently become aware of their own filter bubbles. So people turn inward to narcissism. If you can’t trust anyone, you can only turn inward. But that’s when we see the effects of a poor information diet. We don’t know what objective journalism looks like any more. Our analytic skills are suffering as a result. Our ability to trust external sources of expertise suffers.
Inconsistency undermines trust—externally and internally. People turn inward and wonder if they can even trust their own perceptions any more. You might raise an eyebrow when a politician plays fast and loose with the truth, or a brand does something shady.
We look for consistency with our own perceptions. Does this fit with what I know? Does this make me feel good? Does this brand make me feel good about myself? It’s tied to identity. There’s a cycle of deliberation and validation. We’re validating against our own worldview. Referencing Jeffrey’s talk, Margot says that giving people time to slow down helps them evaluate and validate. But there’s a self-perpetuating cycle of belief and validation. Jamelle Bouie from Slate says:
We adopt facts based on our identities.
How we form our beliefs affects our reality more than what we already believe. Cultural predisposition is what give us our confirmation bias.
Say you’re skeptical of big pharma. You put the needs of your family above the advice of medical experts. You deny the efficacy of vaccination. The way to reach these people is not to meet them with anger and judgement. Instead, by working in the areas they already feel comfortable in—alternative medicine, say—we can reach them much more effictively. We need to meet a reluctant audience on their own terms. That empowers them. Empowerment reflects and rebuilds trust. If people are looking inward for information, we can meet them there.
The language a brand uses to express itself. You don’t want to alienate your audience. You need to bring your audience along with you. When a brand changes over time, it runs the risk of alienating its audience. But by using a consistent voice, and speaking with transparency, it empowers the audience.
A good example of this is Mailchimp. When Mailchimp first moved into the e-commerce space, they approached it from a point of humility. They wrote on the blog in a very personal vulnerable way, using plain language. The language didn’t ask more acclimation from their audience.
ClinicalTrials.gov does not have a cute monkey. Their legal disclaimer used to have reams of text. They took a step back to figure what they needed to provide in order to make the audience comfortable. They empowered their audience by writing clearly, avoiding the passive voice.
What is enough detail to allow a user to feel good about their choices? We used to think it was all about reducing information. For a lot of brands, that’s true. But America’s Test Kitchen is known for producing a lot of content. They’re known for it because their content focuses on empowering people. You’re getting enough content to do well. They try to engage people regardless of level of expertise. That’s the ultimate level of empathy—meeting people wherever they are. Success breeds confidence. That’s the ethos that underpins all their strategy.
Crutchfield Electronics also considers what the right amount of content is to allow people to succeed. By making sure that people feel good and confident about the content they’re receiving, Crutchfield Electronics are also making sure that people good and confident in their choices.
Gov.uk had to contend with where people were seeking information. The old version used to have information spread across multiple websites. People then looked elsewhere. Government Digital Services realised they were saying too much. They reduced the amount of content. Let government do what only government can do.
So how do you know when you have “enough” content? Whether you’re America’s Test Kitchen or Gov.uk. You have enough content when people feel empowered to move forward. Sometimes people need more content to think more. Sometimes people need less.
How do we open up and support people in empowering themselves? Vulnerability can also mean letting people know how we’re doing, and how we’re going to change over time. That’s how we build a conversation with our audience.
Sometimes vulnerability can mean prototyping in public. Buzzfeed rolled out a newsletter by exposing their A/B testing in public. This wasn’t user-testing on the sidelines; it was front and centre. It was good material for their own blog.
When we ask people “what do you think?” we allow people to become evalangists of our products by making them an active part of the process. Mailchimp did this when they dogfooded their new e-commerce product. They used their own product and talked openly about it. There was a conversation between the company and the audience.
Cooks Illustrated will frequently revisit their old recommendations and acknowledge that things have changed. It’s admitting to a kind of falliability, but that’s not a form of weakness; it’s a form of strength.
If you use some of the recommendations on their site, Volkswagen ask “what are you looking for in a car?” rather than “what are you looking for in Volkswagen?” They’re building the confidence of their audience. That builds trust.
Buzzfeed also hosts opposing viewpoints. They have asides on articles called “Outside Your Bubble”. They bring in other voices so their audiences can have a more informed opinion.
A consistent and accessible voice, appropriate volume for the context, and humanising vulnerability together empowers users.
Margot says all that in the face of the question: do we live in a post-fact era? To which she says: when was the fact era?
Cynicism is a form of cowardice. It’s not a fruitful position. It doesn’t move us forward as designers, and it certainly doesn’t move us forward as a society. Cynics look at the world and say “it’s worse.” Designers look at the world and say “it could be better.”
Design won’t save the world—but it may make it more worth saving. Are we uniquely positioned to fix this problem? No. But that doesn’t free us from working hard to do our part.
Margot thinks we can design our way out of cynicism. And we need to. For ourselves, for our clients, and for our very society.
Saturday, September 1st, 2018
I love, love, love all the little details of HTML that Aaron offers up here. And I really like how he positions non-visual user-agents like searchbots, screen readers, and voice assisants as headless UIs.
HTML is a truly robust and expressive language that is often overlooked and undervalued, but it has the incredible potential to nurture conversations with our users without requiring a lot of effort on our part. Simply taking the time to code web pages well will enable our sites to speak to our customers like they speak to each other. Thinking about how our sites are experienced as headless interfaces now will set the stage for more natural interactions between the real world and the digital one.
Monday, May 21st, 2018
Chris weighs up the ethical implications of Google Duplex:
The social hacking that could be accomplished is mind-boggling. For this reason, I expect that having human-sounding narrow AI will be illegal someday. The Duplex demo is a moment of cultural clarity, where it first dawned on us that we can do it, but with only a few exceptions, we shouldn’t.
But he also offers alternatives for designing systems like this:
- Provide disclosure, and
- Design a hot signal:
…design the interface so that it is unmistakeable that it is synthetic. This way, even if the listener missed or misunderstood the disclosure, there is an ongoing signal that reinforces the idea. As designer Ben Sauer puts it, make it “Humane, not human.”
Monday, May 14th, 2018
You know how donating blood is a really good thing to do? Well, now you also donate your voice.
Thursday, May 10th, 2018
Ethan shares my reaction to Google Duplex:
Frankly, this technology was designed to deceive humans.
And he points out that the team’s priorities are very revealing:
I’ll say this: it’s telling that matters of transparency, disclosure, and trust weren’t considered important for the initial release.
Wednesday, May 9th, 2018
I can’t recall the last time I was so creeped out by a technology as I am by Google Duplex—the
AI that can make reservations over the phone by pretending to be a human.
I’m not sure what’s disturbing me more: the technology itself, or the excited reaction of tech bros who can’t wait to try it.
Thing is …when these people talk about being excited to try it, I’m pretty sure they are only thinking of trying it as a caller, not a callee. They aren’t imagining that they could possibly be one of the people on the other end of one of those calls.
The visionaries of technology—Douglas Engelbart, J.C.R Licklider—have always recognised the potential for computers to augment humanity, to be bicycles for the mind. I think they would be horrified to see the increasing trend of using humans to augment computers.
Friday, April 13th, 2018
Monzo’s guidelines for tone of voice, including a reference to “the curse of knowledge.”
Wednesday, January 10th, 2018
Tuesday, January 9th, 2018
Peter looks into his crystal ball for 2018 and sees computers with eyes, computers with ears, and computers with brains.
Friday, December 8th, 2017
This 1993 article by Mark Weiser is relevant to our world today.
Take intelligent agents. The idea, as near as I can tell, is that the ideal computer should be like a human being, only more obedient. Anything so insidiously appealing should immediately give pause. Why should a computer be anything like a human being? Are airplanes like birds, typewriters like pens, alphabets like mouths, cars like horses? Are human interactions so free of trouble, misunderstanding, and ambiguity that they represent a desirable computer interface goal? Further, it takes a lot of time and attention to build and maintain a smoothly running team of people, even a pair of people. A computer I need to talk to, give commands to, or have a relationship with (much less be intimate with), is a computer that is too much the center of attention.
Monday, October 23rd, 2017
I love what Ben is doing with this single-serving site (similar to my design principles collection)—it’s a collection of handy links and resources around voice UI:
Designing a voice interface? Here’s a useful list of lists: as many guiding principles as we could find, all in one place. List compiled and edited by Ben Sauer @bensauer.
BONUS ITEM: Have him run a voice workshop for you!
Friday, September 8th, 2017
This article about a specific security flaw in voice-activated assistants raises a bigger issue:
User-friendliness is increasingly at odds with security.
This is something I’ve been thinking about for a while. “Don’t make me think” is a great mantra for user experience, but a terrible mantra for security.
Our web browsers easily and invisibly collect cookies, allowing marketers to follow us across the web. Our phones back up our photos and contacts to the cloud, tempting any focused hacker with a complete repository of our private lives. It’s as if every tacit deal we’ve made with easy-to-use technology has come with a hidden cost: our own personal vulnerability. This new voice command exploit is just the latest in a growing list of security holes caused by design, but it is, perhaps, the best example of Silicon Valley’s widespread disregard for security in the face of the new and shiny.
Monday, June 12th, 2017
The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:
The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.
Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.
- Favor accuracy over speed
- Allow for ambiguity
- Add human judgment
- Advocate sunshine
- Embrace multiple systems
- Make it easy to contribute (accurate) data
- Root out bias and bad assumptions
- Give people control over their data
- Be loyal to the user
- Take responsibility
Tuesday, June 6th, 2017
A style guide for voice interfaces.
Tuesday, March 14th, 2017
Ellen goes through the principles behind the tone of voice on the new Clearleft site:
- Our clients are the heroes and heroines, we facilitate their journey.
- Speak as an individual doing whatever it is you love. Expose lovable details.
- Use the imperative, kill the “-ing”.
- Be evocative and paint the picture. Show don’t tell.
- Be a practical friend.
- Be inquisitive. Ask smart questions that need solving.