top of page

Health Empowerment through Fitness Trackers

Exercise "Fake Out" 

OUR GOAL

To improve user’s experience on health using our solution.

MILESTONE

Our primary goal is to improve the health of college students who have failed at fitness before but still want to improve their health.

01

Investigate

Frame Issues related to fitness trackers including body data tracking, mental models, and behavior change.

02

Data Collection

Conduct interviews with relevant stakeholders (college students).

03

Lo-Fi & Mid-Fi Prototypes

Creatively generate ideas and prototypes on low-fidelity and mid-fidelity materials. 

04

Evaluate

Evaluating and analyzing our solution with both empirical and analytical methods.

INVESTIGATION 
 

Our secondary research underscores the complexity of adopting fitness trackers and health apps, revealing their varied impacts on behavior and well-being. While these tools offer diverse functions and can positively influence attitudes toward exercise, their accuracy and potential to induce health worry necessitate caution. Mental models greatly influence engagement with tracking, affecting users' habits and mental health. Personalized guidance, social support, and user-friendly interfaces are key for effective behavior change, yet obstacles such as unclear interfaces and impractical goals impede progress. Understanding these dynamics is essential for harnessing the full potential of health apps and body data tracking for holistic well-being.

DATA COLLECTION

We collected data by sending surveys with Google Forms, directly speaking with the interviewee, and conducting actual interviews. These methods helped us gain insights into the ideation process and expand our perspectives by understanding the user. 

​

Screen Shot 2024-04-15 at 7.31.10 PM.png

Google Survey form response for effectiveness on fitness trackers from user's perspective

Screen Shot 2024-04-15 at 7.32.08 PM.png

Google Survey form response for insights that fitness tracker provides from user's perspective

After collecting data through surveys and interviews, we created an affinity diagram to organize data and to find similarities.

We arranged the most mentioned user preferences of fitness trackers on an affinity diagram from an interview, and they were: Notifying and Tracking. 

Screen Shot 2024-04-11 at 8.43_edited.jp

AFFINITY DIAGRAM

LOW-FIDELITY 
PROTOTYPES
 

As a team, each member sketched out a basic prototype, leveraging insights gained from data collection. Subsequently, we evaluated these prototypes and integrated user-friendly elements to create a cohesive mid-fidelity prototype for further advancement.

Screen Shot 2024-04-15 at 7.51_edited.jp
Screen Shot 2024-04-15 at 7.55_edited.jp

Lo-Fi initial sketches 

Lo-Fi prototype 

MID-FIDELITY 
PROTOTYPES
 

Our team developed low-fidelity sketches and prototypes and then iteratively prototyped based on evaluating lo-fi materials. We have further developed mid-fidelity prototype through Figma and created a mockup for fitness app that tracks only steps for college students who experienced failure regarding fitness related issues previously but trying to overcome and willing to improve their physical health. 

Screen Shot 2024-04-18 at 1.37_edited.jp

MID-FIDELITY 
PROTOTYPE SIMULATION
 

bottom of page