Kirsten Geiger

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Spot Me helps weightlifters safely train by themselves, using AI-driven tech to provide real-time form corrections.

Spot Me helps weightlifters safely train by themselves, using AI-driven tech to provide real-time form corrections.

Team

Self, Product Designer
Lin and Brodowski, Advisor

Timeline

16 weeks
Parsons School of Design
Major Studio 2

Area

Mobile App

Challenge

Incorrect lifting form can lead to serious injury.

There's no significant association between injury occurrence and gender, age, or body mass index. However, there is a significant association between injury occurrence and weight carried while lifting weights. Since casual lifters struggle to correct their form when lifting alone but continue increasing the weight carried, they risk serious injury.

Why is this problem important?

1 in 4

People reported doing weight-lifting activities weekly.

CDC, 2022

61%

Of weightlifting injuries are due to technical errors.

CBI Insight

Research & User Interviews

What is the current weightlifting experience?

To create a solution that would really help people, I first wanted to understand the current lifting experience. I conducted 7 preliminary interviews with a wide range of users, from beginners (< 1 year) to veterans (10+ years) and those who don't use any tech to power users. Based on my insights, I identified 3 key pain points which informed my ideation process.

Difficult to Self-Teach Correct Form

Difficult to Self-Teach Correct Form

Correctly doing the exercises leads to better results, but it’s difficult to figure out what that ‘right way’ is on your own.

Trainers Are Too Expensive

Watching through videos or reading up on form is not as effective or safe as having real-time feedback as you are doing the movement. However, users didn't want to spend on a personal trainer.

Fear of Injuring Themselves

Lifters care about the correct form because they're nervous about getting hurt or pushing themselves too far.

Who am I designing for?

The Lifting Newbie

Weightlifting for 3 months

Behaviors

Just began lifting and following fitness influencer workout videos. They worry about getting hurt when trying a new set but find the personal trainers too expensive to start off with.

Goals

To get personalized guidance during workouts to make sure their form is correct and prevent injury.

The Dedicated Learner

Weightlifting for 5+ years

Behaviors

Working out is an essential part of their routine. They started researching proper form after a serious injury, not realizing they'd been doing the exercise incorrectly the whole time.

Goals

To consistently improve their form to optimize progress and see results like a new 'personal best' in weight carried.

The design challenge

How might we teach casual weight lifters proper form during their sets to optimize their workouts and prevent injury?

How might we teach casual weight lifters proper form during their sets to optimize their workouts and prevent injury?

Divergent Concepts

How will I address the pain points in my design?

I developed 3 divergent concepts to test with users and elicit strong reactions from them. I created low-fidelity prototypes to focus their reactions on the ideas rather than the design so that I could identify which solutions resonated with them and which to leave behind.

Low-fidelity prototypes
Biometric Tracking for Injury Prevention

When abnormal biometrics are detected by the user's smartwatch, the routine pauses.

Video Tutorials with
360° Viewable Poses

Users can see all angles of the proper form instead of just a video from 1 point of view.

Responsive and Visual correctional Feedback

Smart mirror tracks and analyses the user's form, providing real-time corrections.

What do users think?

After testing these concepts with 4 weightlifters, I gathered 2 key user feedback to that helped refine my design solution.

Desire for Real-Time Coaching

Users wished they had a trainer but found it too expensive. By creating a digital product, I could make these services accessible and affordable.

Feedback for Injury Prevention

Users wouldn't invest in a smart mirror but wanted the real-time feedback it provided.

Narrowing the Scope

How are lifters currently trying to solve this?

'Spotting' in weight training is supporting the person lifting.

Spotters help the athlete complete the lift, ensure proper technique, and prevent injury. They also boost an athlete’s confidence level and morale, leading to better performance during their workout.

However, most choose to lift alone.

All the users I spoke to work out alone regularly and rarely go to the gym with a friend or coach because they schedule their workouts according to their schedules.

Could we 'spot' weightlifters digitally?

Human pose estimation for corrective feedback gets the most attention in AI fitness applications since it can analyze the movement of athletes in different scenarios using just a smartphone camera.

Identifying opportunities in the user journey
Outlining key features

Tailoring the product to the weightlifting experience

Track Users Form During Workouts

Do users want to choose when they're tracked, or would that be the default?

Alerts Ensure Safe, Optimal Lifting

How much form analysis information would be the most helpful for users, and when?

Personalized Progress Tracking

Will users want to compare the day's workout results with their progress history?

Iterations & Testing

Developing a product that teaches weightlifters the proper form

I started by sketching out different screens based on insights from my interviewees, including coach-led workout routines, form analysis and corrections, and post-workout analysis. To gain perspective on which screens were missing, important, or unnecessary, I created a system map outlining the correction feedback and post-workout flow.

Sketching

Home Page, Weekly Progress

Workout Video

Human Pose Estimation Tracking

Post-Workout Analysis

Refining the UI through
key design iterations and decisions

Refining the UI through key design iterations and decisions

I turned these sketches into mid-fidelity prototypes to enhance my UI elements. I tested them with casual weightlifters who had just started lifting and those who had been doing it for years to ensure the UX could easily be introduced into their routine.

Mid-Fidelity Prototype

The Solution

Coach-Led Workout Videos

Easily track this week's progress, motivating you to keep up the hustle. Workout cards and coach-led video tutorials make it easy to follow along each set and alleviate the stress of routine planning.

Final design
Design decision

Focus on Quality Over Speed

Timer and Progress Bar

Lifters prioritize quality over speed, so time indicating UI is unnecessary. Rather than taking videos, users prefer live analysis.

Remove Timers, Emphasize Rep

Removed the timer and progress bar. Highlight exercise names, reps, and weights instead. Toggle easily switches between modes for feedback.

Form Analysis and Corrections

Easily toggle between coach-led video and 'Spot Me' pose tracking mode. Incorrect form triggers bite-size audio and visual alerts- as a coach would! Modals disappear once the form has been safely corrected.

Final design

Instructional Video

Real-Time Form Feedback

Design decision

Alerts in Real-Time

Lengthy Feedback

Need real-time feedback for immediate correction. Alert size and text were too small to read from afar. Prefers to read further information after the workout.

Bite-size, Real-time Alerts

Form alerts are large, simple, and audible. Fullscreen modal to capture the user's attention. An in-depth form analysis is given post-workout.

Post-Workout Analysis

End the workout with a brief performance recap and an option for detailed information on each set. See all alerts to see your mistakes and learn how to improve.

Final design

Post-Workout Analysis

Accuracy of All Workout Sets

In-Depth Analysis of a Set

Design decision

Personalized Progress Tracking

Surface Level Achievements

Stats are too general- users want a set-by-set accuracy breakdown.

In-Depth Insights Into Workout

Show progress over week, month, and year. Highlight improvements in accuracy, alerts, and weights lifted.

Final design

Alerts Detected

Accuracy, Alerts, and Weights Carried Over Time

Reflections

What did I learn from this project?

Design Isn't a Linear Process

At the start of this project, I was uncertain about which fitness problem to tackle. It wasn’t until my mid-fidelity interviews that I focused on weightlifting. The process involved revisiting my research, but that’s the thrill of design— drawing, researching, testing, and repeating. Keeping the user’s needs as my north star guided me to a genuine area of opportunity.

It's Important to Stay Curious

I love getting into UI and UX design, but that’s just one piece of the puzzle. Researching AI has shown me how crucial it is to stay updated with the latest tech to keep innovating. I think it’s all about balancing the tech we have with imagining what it could be to keep pushing the boundaries.

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kirstengeigerdesign@gmail.com

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© 2024

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