The future of Fitness workout experiences is around the corner. In an earlier post we outlined our vision for the next generation of AI coaches. Are you curious what such an AI coach would sound like and where it can really enhance a workout? If so, you came to the right place.
All of the following audio examples use sound design templates we created for health & fitness applications. They'll set the tone for your personalized, user-data generated audio messages and can be found right on api.audio.
1 - Using data to add value to a workout
The new generation of workout apps and fitness hardware generates a plethora of information about you: your heart rate, weight and calorie intake are among the more obvious ones, but technology today could also capture how long you have been awake and when you last exercised. Accordingly it can deduce your lifestyle pattern and daily routine. It might know your speed and location, or whether you have just experienced a sudden drop in your exercise intensity. It can calculate how your current workout compares to your last workout - or even compare it in relation to other people of the same age, gender and fitness levels. But what does it help you to look at these graphs once a month, when this data can deliver valuable queues to improve your workout while you are actually exercising? Here are some ideas:
Recommending performance based on heart rate:
“ …we still have 20 minutes to go. I would suggest dialing it back just a bit. Take a deep breath. And let’s pick it up again in 3, 2, 1.”
Voice: Aria
Sound Design: Heatwave
Comment on last distance performance:
“You just completed your last kilometer in 5:20. That's 5 seconds faster than the last one and keeps you right on target.”
Voice: Shelly
Sound Design: Peakgroove
React to time and personal routine:
“This is an unusual time of day for you to exercise. I recommend you take it a bit slower today. You might also want to increase your cool down period to at least 10 minutes.”
Voice: Shelly
Sound Design: Gym Focus
2 - Being in the moment
Have you ever wondered why a live gym class is so much more engaging than a recorded class? We’ll give you a hint: it’s the same reason why radio stations don’t repeat yesterday’s programme even though they might play the same songs. Humans like to feel that they are “in the moment”. An AI coach adds this real-time dimension to any workout.
Comment on time of day or location
“Good morning, it is a beautiful day in London today. Perfect for a run. ”
Voice: Aria
Sound Design: Tropics
Comment on community working out together:
“Thanks for joining us this Saturday. We currently have 380 people on a run with over 1200 already having completed their workout. Ready to join them?”
Voice: Guy
Sound Design: Deepsea
Leave the user with a quote:
"Well done Mina! We are now entering a cool-down: Let me start you out with our motivational thought of the day...”
Voice: Aria
Sound Design: Tropics
3 - Making your workout more personal
Personal trainers are becoming more and more in demand.These coaches know all the tricks to make you workout harder while receiving tailored advice in optimizing your workout performance. Their main goal is to accompany you during your exercise to ensure you are in line with your personal best, via a personalized training approach. The new generation of AI coach can help you with that:
Address user by name:
“Well done, Leyla. That was your fastest lap so far. Great effort. ”
Voice: Connor
Sound Design: Peakgroove
Performance update:
“You asked me to update you about your heart rate. Your rate now is at 120. I will give you an update every 5 minutes and notify you right away if I measure anything unusual.”
Voice: Aria
Sound Design: Gym Focus
Personal goal:
"There are 20 days to go till Amy’s wedding. You are well on track to look and feel fabulous that day.“
Voice: Aria
Sound Design: Heatwave
4 - Working out together
There are two types of people: those who workout alone and those who workout in groups. Working out in a group setting holds people accountable while simultaneously increasing engagement by knowing others are working out alongside them. Group exercise makes for a better workout and an AI coach can emulate these benefits:
Comment on the performance of the class:
“You are currently sharing this run with 1200 others. The average distance run this morning is 6 miles. Will you top that today?”
Voice: Liam
Sound Design: Loadingnextphase
Motivate the user by letting them know how their friends did:
"3 of your contacts have already worked out this morning: The fastest one was Tammy who ran a sensational personal best. Will you follow her lead?”
Voice: Aria
Sound Design: Deepsea
5 - Gamifications and rewards
Just think about how much more fun a workout can be if there is something driving you to push your limits: a goal to achieve or a word of acknowledgment (some people go as far as to posting their workout stats on social media to just get a little bit of the latter).
A streak that keeps growing & applause/cheering:
“This is your 21st workout completed in a row. Keep going for the 30 day challenge. I hope I'll see you back tomorrow. ”
Voice: Aria
Sound Design: Heatwave
Work with your friends:
"Fred and John have completed their workouts this morning. Once you have completed yours, you will earn 50 stars for the team.”
Voice: Connor
Sound Design: Peakgroove
Conclusion
Audio is a fantastic medium to create engaging experiences like this and add an entirely new dimension to a workout. Creating dynamic audio like this can now easily be done with api.audio. Click the yellow button and use our recipe to get started. You can also contact us and tell us about your idea to start something new.
About:
Aflorithmic is a London/Barcelona-based technology company. Its api.audio platform enables fully automated, scalable audio production by using synthetic media, voice cloning, and audio mastering, to then deliver it on any device, such as websites, mobile apps, or smart speakers.
With this Audio-As-A-Service, anybody can create beautiful sounding audio, starting from a simple text to including music and complex audio engineering without any previous experience required.
The team consists of highly skilled specialists in machine learning, software development, voice synthesizing, AI research, audio engineering, and product development.
