Samsung Watch Face Design Process

 




This is my documentation of my team’s design research and process.

Week 1.

UNDERSTANDING THE SYSTEM

Research methodology for week 1 and 2

At first, we went wide.

We looked into the existing wearable tech, listed out keywords, possible narratives, mapped emotions, culture, history, made affinity maps and so on.

Later on, we planned our own research methods. Since our project is largely based on micro interaction and watch face, we relied a lot on curated list of motivational drivers in people for our research and ideas. 

In the market, We noticed the main selling point of smart watches is the fitness factor, especially apple watches focuses on this. Which is a direction that makes sense when it comes to a tech that is worn so close to the skin, an extension of your body.


If smartphone has the appeal of a loyal assistant, a smart watch operates on another level of intimacy, perhaps that of a companion. Most smartwatch users wear the tech for most part of the day, the smartwatch records their physical details, adds a level of sophistication and interestingly, gives them the feeling of using less technology.

We mapped all personas, mapped their interests, the culture, made affinity cluster and so on. From our initial research, we decided to narrow down our users to millennial and gen z . There's a movement to make older generation to wear it for health  and a wide and promising discussion on the future of wearable tech.

We found potential for intervention in 4 areas, 1. Bezel  2. Graphic and motion design  3. Reimagining companion 4. Personal Identity and larger group.

We split ourselves into smaller groups and took up one concept to work upon.

The area, Kajol and I, decided is the Personal Identity and larger group. 

In our research, we observed an interesting culture of people wanting to know and record data about themselves. We observed its reach in social media, where people like to put up their data visualized, and in the area of health and fitness, where users are really well into recording and keeping track of data. There is this interesting interest in telling stories through data, and We wanted to see how we can extend this data reading culture. In the era of big data, we felt that a culture of making people comfortable around interacting with data is an interesting direction to pursue as well. 


Idea Directions.

Dot

 
Visualisation and Interaction








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