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How a chatbot can actually change people’s habits

(EDITORIAL) So many brands are creating chatbot functions and say they’re “building” a chatbot, but think of your users as you expand into this universe – define what you’re doing first.

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It’s no secret there are a lot of chatbots these days. The latest trend: chatbots wanting to change people’s habits, and not all are created equal. As these types of bots become more prevalent, it poses the question: do they actually work? Answer: sometimes, and it depends.

Do chatbots actually affect behavior?

As a founder of an AI chatbot financial assistant, I know the opportunities and challenges that come from influencing daily behavior. When it comes to habits, you face the difficulties of say, marketing a vitamin versus a painkiller. I want to build software that will enact actual change, but let’s be real – people aren’t as motivated in the mundane, everyday decisions, because they don’t think it matters.

I’ve seen my fair share of chatbots — both impressive and crappy — come and go, and I can confidently say that chatbots/AI assistants will only work if behavioral science is implemented. This must be intentionally created throughout the software — from UX to UI to copywriting.

When there’s not an actual person on the other side of the conversation, the bot needs to use other motivating factors — otherwise, users won’t take it seriously. (Remember SmarterChild on AIM? Case in point.)

Real-life example: Open Habits

Let’s explore this further and look at new startup, Open Habits.

First off, the origin of Open Habits is pretty interesting. Twitter and Product Hunt user Aiden Buis tweeted a fun concept – a self-imposed hackathon where he would build and ship a SaaS product within 100 hours, and document every step.

It’s built as a bot within the app Telegram, so others can track your progress. But with the Open Habits bot, it isn’t geared towards a specific habit or interest. A user can track any habit they want to change. It seems like a good idea for flexibility, but in reality, this typically sets someone up for failure.

Motivations for different habits aren’t one size fits all, but specific tactics need to be used depending on the desired habit to change.

Overall, I’d give it an 7/10. For a quickly shipped software, it’s not all that bad.

But to actually create change, here are some guidelines to keep in mind:

1. Go easy on the notifications.

Let’s look at a software that fails at this, MyFitnessPal. I kind of shiver just thinking about the notifications I used to receive. An everyday notification typically means someone will turn off your notifications or flat-out ignore them. Make the notifications actually helpful, not constant or annoying, and for the love of God, please space out the timing.

2. Show the long-term picture for daily habits.

Show your users what they’re doing does matter and does lead to big change.

For example: If you’re talking about weight loss, show how swapping one dessert for fruit once a week can equate to X or Y calories or pounds lost a year. If it’s financial habits, show how saving even $1 a day can grow your financial future into $X. (Acorns does an excellent job of this.)

3. Do your research on favorable or unfavorable language.

If you’re trying to change someone’s habits, prepare to get to know as many experts as possible in your field. Read all the books, meet all the professors, and get to know all the researchers that study far beyond what you’re doing. Prime example: financial app users hate the term “budgeting” because it’s associated with negative feelings, and we only knew this because of This is why it’s crucial to become best friends with the leaders in your industry.

As always, this is simply a starting point for guidelines to keep in mind whether you’re building or just using a chatbot. Look at the competitors, see what works best for you and what motivates you, then go from there.

Elise Graham Kennedy is a staff writer at The American Genius and Austin-based digital strategist. She's a seasoned entrepreneur, started and sold two companies, and was on a TV show for her app. You can usually find her watching The Office on her couch with her dog and husband.

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Google chrome: The anti-cookie monster in 2022

(TECH NEWS) If you are tired of third party cookies trying to grab every bit of data about you, google has heard and responded with their new updates.

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Google has announced the end of third-party tracking cookies on its Chrome browser within the next two years in an effort to grant users better means of security and privacy. With third-party cookies having been relied upon by advertising and social media networks, this move will undoubtedly have ramifications on the digital ad sector.

Google’s announcement was made in a blog post by Chrome engineering director, Justin Schuh. This follows Google’s Privacy Sandbox launch back in August, an initiative meant to brainstorm ideas concerning behavioral advertising online without using third-party cookies.

Chrome is currently the most popular browser, comprising of 64% of the global browser market. Additionally, Google has staked out its role as the world’s largest online ad company with countless partners and intermediaries. This change and any others made by Google will affect this army of partnerships.

This comes in the wake of rising popularity for anti-tracking features on web browsers across the board. Safari and Firefox have both launched updates (Intelligent Tracking Prevention for Safari and the Enhanced Tracking Prevention for Firefox) with Microsoft having recently released the new Edge browser which automatically utilizes tracking prevention. These changes have rocked share prices for ad tech companies since last year.

The two-year grace period before Chrome goes cookie-less has given the ad and media industries time to absorb the shock and develop plans of action. The transition has soften the blow, demonstrating Google’s willingness to keep positive working relations with ad partnerships. Although users can look forward to better privacy protection and choice over how their data is used, Google has made it clear it’s trying to keep balance in the web ecosystems which will likely mean compromises for everyone involved.

Chrome’s SameSite cookie update will launch in February, requiring publishers and ad tech vendors to label third-party cookies that can be used elsewhere on the web.

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Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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Xiaomi accidentally sent security video from one home to another

(TECH NEWS) Xiaomi finds out that while modern smart and security devices have helped us all, but there are still plenty of flaws and openings for security breeches.

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The reason for setting up security cameras around your home is so the photos can get streamed to your neighbor’s device, right?

Okay, that’s obviously not why most (if any) of us get security cameras, but unfortunately, that scenario of the leaked images isn’t a hypothetical. Xiaomi cameras have been streaming photos to the wrong Google Home devices. This was first reported on Reddit, with user Dio-V posting a video of it happening on their device.

Xiaomi is a Chinese electronics company that has only recently started to gain traction in the U.S. markets. While their smartphones still remain abroad, two of Xiaomi’s security cameras are sold through mainstream companies like Wal-Mart and Amazon for as low as $40. Their affordable prices have made the products even more popular and Xiaomi’s presence has grown, both nationally and abroad.

To be fair, when the leaked photos surfaced, both Google and Xiaomi responded quickly. Google cut off access to Xiaomi devices until the problem was resolved to ensure it wouldn’t happen again. Meanwhile, Xiaomi worked to identify and fix the issue, which was caused by a cache update, and has since been fixed.

But the incident still raises questions about smart security devices in the first place.

Any smart device is going to be inherently vulnerable due to the internet connection. Whether it’s hackers, governments, or the tech companies themselves, there are plenty of people who can fairly easily gain access to the very things that are supposed to keep your home secure.

Of course, unlike these risks, which involve people actively trying to access your data, this most recent incident with Xiaomi and Google shows that your intimate details might even be shared to strangers who aren’t even trying to break into your system. Unfortunately, bugs are inevitable when it comes to keeping technology up to date, so it’s fairly likely something like this could happen again in the future.

That’s right, your child’s room might be streamed to a total stranger by complete accident.

Granted, Xiaomi’s integration mistake only affected a fraction of their users and many risks are likely to decrease as time goes on. Still, as it stands now, your smart security devices might provide a facade of safety, but there are plenty of risks involved.

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