AGENDA

Intro

Sketching Explorations

Selected Interface & Rationale

Low-Fi Prototype Construction

Low-Fi Prototype

Testing Methodology

Testing Results

Discussion

Appendix

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Sketching Explorations

Momentum

10-15 SOLUTION SKETCHES

Phone

Momentum Fresh Start Mode App

Label: App to ditch pressure of previous lofty goals and start anew at the gym

Restart Buddy Chat

Label: AI Chat assistant that encourages you to restart

Reflection-first Workout App

Label: Mood-based logging that lets you reflect on your progress

10-15 SOLUTION SKETCHES

Smart Watch

Gentle Watch Nudge

Label: Haptic Nudge to subtly encourage you to exercise

Breathing Coach Watch

Label: Calming feedback to help you relax and feel less stress about going to the gym

Posture Reminder Wearable

Label: Reminders to encourage body awareness and good health

10-15 SOLUTION SKETCHES

AR

AR Gym Feedback

Label: AR overlay of direct, encouraging feedback

AR Progress Tracker

Label: Spatial Visualization of cumulative growing progress

10-15 SOLUTION SKETCHES

Other

Voice Check-in Assistant

Label: Voice Interaction to encourage users to return to the gym and grow their progress

Ambient light encouragement

Label: Ambient Feedback light that changes color when you visit the gym

3 DISTINCT REALIZATIONS

1. Mobile App: Momentum Fresh Start Mode

Phone (touch + visual)

2. Smartwatch: Gentle Return Nudges

Wearable (haptics + micro-text)

3. AR: Gym Companion

AR / spatial computing

3 DISTINCT REALIZATIONS (CONCEPT SKETCHES)

1. Mobile App: Momentum Fresh Start Mode

Phone (touch + visual)

User is encouraged to restart

User can choose degrees to which they want to make progress

App encourages users during workout

App offers post-workout reflections to keep users engaged

3 DISTINCT REALIZATIONS (CONCEPT SKETCHES)

2. Smartwatch: Gentle Return Nudges

Wearable (haptics + micro-text)

Watch app uses haptics to remind users in a more noticeable way

Watch offers different haptic/light/sound feedback to reward users for making progress towards gym goals

Progress tracker on the watch face shows different “branches” of the user’s history of progress

3 DISTINCT REALIZATIONS (CONCEPT SKETCHES)

3. AR: Gym Companion

AR / spatial computing

AR Visualizer shows workout progress as it’s happening

Encouragements to continue progress on gym efforts

AR visualizer shows cumulative history of user progress in a unique branching manner, rather than a timeline

Reflect: Summarization of efforts and encouragements to keep working

2 DISTINCT REALIZATIONS

(KEY SCREENS)

Mobile App: Momentum Fresh Start Mode

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2 DISTINCT REALIZATIONS

(KEY SCREENS)

AR: Gym Companion

Selected Interface & Rationale

Momentum

2 DISTINCT REALIZATIONS (PROS/CONS)

Mobile App: Momentum

Pros:

• Everyone has a mobile phone
• Everyone knows how to install and use apps granted they are well-designed
• Mobile phone notifications can provide encouragements and reminders to users
• Mobile apps are generally easier to design than other HCI platforms like smartwatches

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Cons:

• A flat screen mobile app is less immersive than other formats like wearables
• An app can be uninstalled just as easily as it is installed
• Users can get easily distracted on a mobile phone
• It may be harder for users to identify the unique points of our product on the mobile app marketplace as opposed to other mediums

2 DISTINCT REALIZATIONS (PROS/CONS)

AR: Momentum Gym Companion

Pros:

• AR is more immersive and encompassing than a watch or flat screen
• AR being in 3D space can be more intuitive for users than flat screens
• Activity tracking with AR is more immediate and direct than through a phone screen (user has to hold a phone)
• Glasses-wearers could correct their vision and get a gym tracker in one product

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Cons:

• AR is highly inaccessible to the general public
• AR tools are often more difficult to design
• If glasses-wearers take off their glasses during workouts, part of this solution is unusable for that customer base
• It may be cumbersome to always keep the necessary AR glasses around

FINAL SOLUTION

Final Solution:

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Mobile App: Momentum

FINAL SOLUTION

Why?

Decision Process:

• Global Reach: ~80-85% of people own a smartphone vs. <10% own a dedicated AR headset
• Proven behavior: ~40-60% of smartphone owners have downloaded some health or fitness app; in the U.S., this percentage goes up to ~74%
• Contextual Presence: Smartphones are carried 24/7, while AR headsets are bulky, situational, and rarely worn outside the house

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Key factors:

1. Accessibility & convenience
2. Social acceptability in public places
3. Lower cost & lower friction

Low-Fi Prototype Construction

Momentum

Prototype Construction

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• Prototype screens were drawn on a tablet
• The screens were put into Figma, where we mocked user response by linking and wireframing the images
• Pages implemented: Home page, Workout Page, Log Page, and any other pages needed for our task flows
• Features: Tree Branching System, AI Workout Motivator, Post-workout Reflection Logs

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Low-Fi Prototype

Momentum

Simple Task Flow: Receive a notification after not going to the gym for 7 days. Tap the notification, open the Momentum app, and press an Approve button to confirm restarting their gym journey.

Moderate Task Flow: Complete a pre-workout mood survey and start a workout through the app

Complex Task Flow: Finish the workout, do a post-workout reflection, and view it on your Momentum tree.

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Testing Methodology

Momentum

Jasmine

James

Tom

Participants

Demographics: Jasmine is a recent graduate that works as an after-school program lead. She enjoys staying active but struggles to stay motivated at the gym after long work days.

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Recruitment: We recruited Jasmine based on connections with the team.

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Compensation: N/A

Demographics: James is a middle-aged product manager at a technology company. He tries to stay active but has difficulty maintaining consistency.

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Recruitment: We found James through connections with team family members.

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Compensation: N/A

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Demographics: Tom is a recent graduate who works as a software engineer at a software company. He often tries to stay active but struggles to surpass early roadblocks.

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Recruitment: We recruited Tom based on connections with the team.

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Compensation: N/A

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Test: Jasmine

Test: James

Test: Tom

Environment & Apparatus

Location: Zoom

Apparatus: Figma Prototype, Computer

Location: Zoom

Apparatus: Figma prototype, Computer, phone

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Location: Zoom

Apparatus: Figma prototype, Computer

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Setup:

�In person: Facilitator, Observer, Computer Monitor, and Participant all on same side of the table.

Zoom: Facilitator, Observer, Computer Monitor, and Participant are all on zoom. Participant shares screen and voices out their thought process along with what they clicked/want to click.

Procedure

Facilitator: William

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1. Introduce the concept of Momentum
2. Explain the tasks that the user has to accomplish and have them do it one at a time
3. If the user is stuck for more than 20 seconds, we provide a hint
4. Ask them on a scale of 1-5, how difficult that experience was
5. Ask user for feedback/suggestions they have for the current prototype

Observer: Evania

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1. Track participant confusions
2. Track misclicks
3. Note wireframing errors
4. Observe useful prototype additions/deletions
5. Note feedback from participants

Computer Monitor: Jay

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1. Run the Figma prototype on their computer or provide prototype link for participant (if on Zoom)
2. Guide the user on how to use the Figma UI if they’re confused
3. Make sure everything is running as planned

Usability Goals & Key Measurements

Intuitive UI

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• Number of navigation errors/how well the user navigates through the UI with little to no guidance
• If the user needs hints to proceed, observe if they can go through the rest of the task with minimal hints

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• Why? Our UI should be intuitive so that the learning curve is minimal, allowing users to go straight into the functionality and goal of our app

Low Difficulty

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• Self-reported difficulty during prototype navigation(1-5)
• Difficulty is measured as how hard it was to complete all tasks

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• Why? Users struggling with gym consistency would want to use an app that helps them and makes the commitment easier, not more difficult.

Testing Results

Momentum

Process Data (Big Picture)

Usability Goal Key Observations

• Pre-Workout Survey Inputs Were Unclear
• All three participants were unsure whether multiple muscle groups could be selected.
• Some users tapped options repeatedly to check if their selections were saved
• One participant didn’t fully understand the difference between intensity levels and how it would affect the suggested workouts
• Post-Workout Reflection Felt Too Long
• Participants liked the idea of reflection but hesitated when looking at the text sections of the reflection
• Some users preferred quick-choice options instead of long text responses
• Redundant screens
• Some participants felt that the home and progress tree screens were a bit redundant and could be combined into one screen

Other Relevant Observations

• Lack of clarity for branching progress tracker
• Some participants expressed confusion at what the branching progress tracker was intended to signify
• One participant noted that it was a novel idea and liked the feature
• Too “one-note”
• One participant argued the app could use some more functionality, and that an “all-in-one” solution would be more desirable
• Navigation bar is a good idea
• All participants were able to easily understand and follow the structure of the navigation bar at the bottom of the prototype screen

Success?

Intuitive UI

Low Difficulty

Maybe:

• Users generally found the UI to be easy to use, but ran into some incidents that are essential to the usability of the app

Yes!

• Users generally found the app to be on the easier side of usability and all participants expressed interest in further testing with a higher fidelity prototype

Discussion

Momentum

Process Data -> Implication

1. All 3 participants were unsure whether multiple muscle groups could be selected.

• We need clearer selection affordances (checkboxes, "select all that apply" labels).

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2. 2/3 participants needed hints, concentrated around the branching progress tracker — not the nav bar.

• Core navigation works – we should make the progress tracker self-explanatory.

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3. Average difficulty was 2.17/5. This meets our goal, but not at the floor.

• The interface is learnable, so prioritize first-time clarity over structural redesign.

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Upcoming Changes

• Clarification on Install
• We plan to add clarifying pages of information when the user first installs the app to avoid confusion on how the branching progress tracker works
• Pre-Workout Survey Details
• We plan to add additional details on the pre-workout survey page and change the language used to make it clearer for users what each response on the survey page entails for the user’s suggested workout
• Workout Timer
• We will make the timer element less button-like in higher-fidelity prototypes so that users know it isn’t an element to be interacted with
• Eliminate Home Screen Redundancy
• We plan to merge the home screen and the progress tree screen into one main screen, reducing redundancies between the two pages
• Simplify Post-Workout Reflection
• We plan to reduce the initial depth of the post-workout reflection but adding a “details” section, allowing casual users to make simple reflections and power users to make more detailed reflections

Shortcomings of our Low-Fidelity Testing

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• Unable to test user actually receiving a 7+ day restart notification
• Unable to test flow of actual workouts
• Unable to test AI generated workout reliability
• Unable to test previously saved or featured workouts
• Unable to show actual tree branch/leaf functionality
• Unable to test workout logs with genuine reflections

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These shortcomings don’t completely disqualify the results of our testing, but do provide valuable insights moving forward as to what feedback we should take to heart and what feedback we should look at with a grain of salt.

�Thank you!

Momentum

Appendix

Momentum

2 DISTINCT REALIZATIONS (PROS/CONS)

Mobile App: Momentum Full Pros/Cons

Pros:

• Everyone has a mobile phone
• Everyone knows how to install and use apps granted they are well-designed
• Mobile phone notifications can provide encouragements and reminders to users
• Since phones are with people 24/7 the reminders work better than AR devices, for example, where people would rarely already be using the AR device
• Mobile apps are generally easier to design than other HCI platforms like smartwatches
• Easier to collect user data such as workout history, streaks, and preferences
• Can integrate with existing fitness APIs and phone sensors (ie. steps)

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Cons:

• A flat screen mobile app is less immersive than other formats like wearables
• An app can be uninstalled just as easily as it is installed
• Users can get easily distracted on a mobile phone
• App notifications can be ignored or turned off entirely
• It may be harder for users to identify the unique points of our product on the mobile app marketplace as opposed to other mediums (given that there’s s many gym tracker mobile apps)

2 DISTINCT REALIZATIONS (PROS/CONS)

AR: Momentum Gym Companion Full Pros/Cons

Pros:

• AR is more immersive and encompassing than a watch or flat screen
• AR being in 3D space can be more intuitive for users than flat screens
• Activity tracking with AR is more immediate and direct than through a phone screen (user has to hold a phone)
• Glasses-wearers could correct their vision and get a gym tracker in one product
• Enables hands-free feedback and reduces context switching between exercising and checking a device

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Cons:

• AR is highly inaccessible to the general public
• AR tools are often more difficult to design
• Wearing AR glasses during intense workouts may be uncomfortable or impractical
• If glasses-wearers take off their glasses during workouts, part of this solution is unusable for that customer base
• It may be cumbersome to always keep the necessary AR glasses around and remember to charge them
• Social acceptability of wearing AR devices in public gym spaces may be low
• Battery life limitations could shorten workout sessions

Low-Fi Prototype (images imported to Figma and mocked prototype interactions)

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Testing Script

This is a prototype for our app, Momentum, an app to reframe gym breaks as a form of progress. The idea is that the app will notify you when it has detected a long break since your last gym session. It will send you a notification and once you restart your gym journey, you will add a new branch to the virtual tree in the app (a phase). During each phase, the gym sessions that you go to are going to appear on the tree as leaves for that branch. The app also has a mood reflection survey going into the workout, a workout page to guide you through the workout, a post-workout reflection log, and also AI generated motivational quotes and workouts throughout the app. For this test, we will have you accomplish three task flows. Jay will be the computer monitor, so he will make sure the Figma prototype is correctly accessed and everything is running correctly. Evania will act as the observer, seeing your actions while going through the tasks. None of them will be talking throughout the test, so you can just ignore that they’re there. I will be asking you for your thoughts as you walk through the app, but I won’t help you navigate anything so that we can see your natural reactions. If you are stuck for more than 20 seconds, we will provide hints on how to proceed.

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Figma Demo - *Show how one would “click” buttons and how that would navigate to a different task flow*

Let’s start with the first task: “Receive a notification after not going to the gym for 7 days. Tap the notification, open the Momentum app, and press an Approve button to confirm restarting your gym journey.”

*Participant does task*

Now, the second task is “Complete a pre-workout mood survey and start a workout.”

* Participant does task*

Finally, the third task is “Finish the workout, do a post-workout reflection, and view it on your Momentum tree.”

* Participant does task*

Ask: What would you say the difficulty of this process was? On a scale of 1-5, how would you score the difficulty of navigating (given that 1 is very easy and 5 is very difficult)?

Thanks for participating in our testing. Do you have any general feedback/thoughts/suggestions?

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Critical Incidents from Testing

Critical Incidents from Testing