Focusing on how to target the app for the age of 18-24
- Have a desktop app for users at home for PC/Mac for the ease of accessibility.
- Less body shaming for users on the app (having the option of allowing users becoming incognito)
- Incorporate a video that features what people are missing out on, leaving a positive resonance on user’s experience when they become healthier.
- Incentive/reward system for users who reaches a milestone on weight loss (Collaborating with unidays for student discounts)
- These rewards can be tailored to individuals’ desire/interest. For example, students can choose their hobby (technology, fashion, lifestyle etc).
- Phone camera has the function to scan the user’s body and calculates their BMI taking height/weight/waist circumference into consideration.
- Setting up a physical space to promote and raise awareness for the application
A data collection of the BEACH research program (Bettering the Evaluation and Care of Health) Of 1,599 sampled adult patients, 31.5% were overweight, 23.7% obese and 4.7% morbidly obese. One in four (26.8%) overweight/obese patients (BMI > or equal to 25.0) did not consider themselves overweight. Additionally, GP correctly identified 60.8% of overweight patients, but underestimated 35.7% as normal weight. They also identified 60% of obese patients, but incorrectly categorised 37.0% as overweight and 3.0% normal weight. GP’s perception of weight can often be inaccurate due to their low usage of BMI and waist circumference with height and weight documentation. Overall, more than one-quarter (26.8%) of overweight/obese patients did not consider themselves overweight. The combination of this perception with the body plus(positive) movement that advocates for the appreciation of “overweight” men but (mostly) women exacerbated the seriousness of the issue that not only promotes an unhealthy lifestyle, but the ignorance of their weight category and health risks associated may influence their attempt to lose weight.
Practice type and design action to support change
Studies have shown that the documentation of obesity increases the rate of obesity being managed. My proposal is to develop a hybrid of service and generative design that fully re-align the users’ self-perception of their health status by raising awareness and providing accurate data presentation of their weight using BMI which classifies the user as either underweight, normal weight, overweight or obese. Fingerprint and augmented reality will be implemented for the accuracy of the BMI analysis.
In order to minimize fat shaming and encourages users to implement the app, a video format (or a storyboard) will be composed shifting the perception of user’s health and how life would it become should they be of normal weight. This leaves a positive resonance on the user’s experience. Additionally, user’s identity have the option to remain anonymous whilst having the freedom to post and share their stories on their journey. Generative design will include other user’s data who also portrays mal-alignment of weight perception and the ability shares their stories and on their method of weight loss. Weight loss methods will be divided into diet/meal plan, excercise, seeking GP advice, a weight loss program, seeing a dietitian/specialist, over-the-counter product, prescribed medication and lap band surgery with their effectiveness of each.
Wong, C. “Accessing Patients’ And Gps’ Ability To Recognize Overweight And Obesity”. Australia and New Zealand Journal of Public Health (2016): 1-5. Accessed 27 of Sept. 2016.