Create a personalized relaxation experience
It seems these days you can’t scroll through a website or social media without being hit by at least one mental health message. It’s not just you. This is something that everyone can benefit from and given the added stresses of this current state of constant change, companies are tapping into this need with smart technology that can add some calm to your day.
Meditation is the exercise of breathing and clearing your mind. Once something reserved for those in the spirituality, meditation and mindfulness is now a mundane ritual – not one that requires training or any type of equipment. In fact, artificial intelligence makes it easier than ever to relax.
Meditation apps have become increasingly popular in recent years, many of which are powered by data and artificial intelligence. AI is leveraged to personalize a person’s experience in these apps by analyzing user data in real time, delivering near-instant results and personalized suggestions to each user. Good Housekeeping has created a list of 13 Best Meditation Appsdepending on various factors. calm won the best overall classification, while Head space was recognized for Best Audio Selection, and Wake is the most beginner-friendly.
One thing that all of these apps have in common, besides their status as the best meditation apps, is their rely on solid, unbiased and evolving data to train their AI models to deliver quality results to users.
The health benefits of meditation
Maintaining balance through this constant state of change, work, family, social interactions, exercise, etc. can be trying. According health line, one of the most common reasons people try to meditate is to reduce stress and anxiety. Data shows us that stress and anxiety are more prevalent than ever. A 2020 study showed that anxiety increased from 5.12% in 2008 to 6.68% in 2018 among American adults, the 18-25 age group saw an increase of 6.69% during this period. This has been further exacerbated by the pandemic which has led to a 25% increase in reported cases of anxiety according to the World Health Organization. Simple lifestyle changes can combat stress and help improve your quality of life.
In addition to reducing stress and anxiety, meditation offers other benefits such as improved concentration and memory capacity. Many studies have been conducted emphasizing the effects of meditation on improving concentration and memory. A study conducted in 2013, Mindfulness training improves working memory capacity and GRE performance while reducing mind wanderingshowed that the effects of improved memory and concentration were noticeable after 2 weeks of mindfulness training classes.
Meditation apps powered by data and artificial intelligence
So where does AI play a role in something that is largely about breathing and relaxing the mind? By powering personalized experiences for the many different meditation apps that make a moment of relaxation accessible and achievable.
Each person’s meditation journey is as unique as they are, and machine learning (ML) is used to account for these personalized factors when recommending exercises to the user. Models are first trained by data indicating the type of exercise a person selects when researching a topic, a specific goal, or entering a certain piece of data. ML models then learn to recommend the currently selected activities. To further improve the user experience, the models also learn not to list the same recommendations repeatedly and suggest alternative exercises that can achieve the same goal. This ensures that the user does not get bored with the app.
With over 10 million downloads on the Google Play Store, calm is one of the most popular mobile meditation apps on the market. Using a data-powered machine learning model, Calm saw in-app engagement increase by 3.4% in 2021.
What really sets this experience apart from just a computer program designed to list results based on what is entered into the search bar is the personalization. The AI models learn in real time and change their recommendations based on whether a user completes an exercise or if several days have passed since a user opened the app. A generic computer program would continue to recommend the same exercise over and over.
The data health benefits of working with Appen to power your meditation AI
If you think having an app customized to your unique preferences is as cool as it sounds, you’re right. If you’ve ever opened an app and noticed that the longer you use it, the more personalized the ads and content recommendations are, the app benefits from machine learning. Personalization does not happen overnight; it takes time and data for the model to learn your unique preferences.
These custom built-in experiences not only learn from what you interact with, they also learn through search relevance. We mentioned earlier that some meditation apps use models that are first trained on the type of exercise a person typically chooses when researching a specific topic. This falls under the relevancy branch of search, as you want the accuracy of the results displayed to be highly relevant to the topic you are looking for. No one wants to search for an item and the results be completely irrelevant, with the only match being the name. It’s like searching for Apple to go to its website to buy a product, and then the only search results shown are for apples as food.
Search relevance is one of the top seven use cases we excel at at Appen, and when combined with other AI training data, like image and video classification, we make sure the user experience is truly unique as the person using it. Researching, collecting, and annotating data to feed machine learning models for meditation apps is a lot of work, and we’re happy to take that item off your agenda, giving you time to do things like relaxing…even meditating.