Buddly is a mobile application for an anonymous local community, especially older adults to assist with daily exercises.
Qualitative Data Analysis
Wireframing / Prototyping
JAN 2021 – FEB 2021
How might we facilitate social
engagement among older adults?
Where is a room for elders?
While the younger generation has successfully formed online communities on many different platforms that resonate with their needs and wants, older generations often struggle to find ways to connect and engage, especially during the time of COVID-19 where social interations are limited. Dealing with feelings of isolation and isolation is a matter of increasing concern among many seniors.
Seamless Integration of Real Life and Tech
Thanks to technology, social media provide seniors a way to get along with their family and friends easily and instantly. However, acknowledging that many of them do not own social media, we came to the conclusion that creating an entirely new social media might be hard to break into the market. Therefore, our team decided to find a way to fit the concept of social media in their ordinary days.
During our research, we found that many elders value relationships formed from daily activities. They enjoy casual socialization; simple waves with neighbors are more than enough to brighten up the day. We aim to create an app that helps seniors during their normal activities but a little better by allowing each experience to be sharable, memorable, and cherishable.
Before we jump into user research, our team came up with some hypotheses that will guide us through the process.
Most older adults value real-life interactions than social platforms
Repeated walks in mundane courses discourage walking as an unentertaining burden to exercise
Physical/medical conditions make unexplored paths in neighborhood harder to approach(ex. user can only walk on flat roads/user does not want to walk in deserted areas)
Written words are powerful. Users in the community can uplift each other without the pressure of the repercussions.
Our design drivers involve local communities, mindfulness, and personal care. We conducted matrix diagrams to see where our product will stand along with other products in those markets.
Here are some of our key takeaways:
1. The amount of data collected is a huge factor to indicate the performance of an AI service. While high collection of data allows the product to give users with more personalized services, it can make certain observations that can make users uncomfortable.
2. Short-term experience allows users to get tasks done quickly/easily, while long-term experience helps uers to keep track of their goals and habits.
We interviewed 4 users from the early 50s to the late 70s to figure out problems that they continuously face throughout their daily exercises and here are some key findings:
Problem Space #1:
Lack of resources for casual activities
Problem Space #2:
Small physical features is a big factor
Problem Space #3:
Experience only lasts instantly
Problem Space #4:
Everything gets repeptitive
Buddly for Christina
Journey to Understanding Better Accessibility
Along with monthly challenges that motivate users to exercise on a daily basis, users can find new routes recommended from the community.
Our journals after the exercises are perfect to keep memories during each journey. It allows users to understand their daily habits as well as physical condition changes