COURSE PROJECT | AR | MACHINE LEARNING | UI/UX DESIGN
Streamlining Home Organizing Experience by Devising Tech Intervention
MY ROLE
Design Lead
UX Research
TIME
June 2020 - Nov. 2020
TEAM
Shanshan Wu (PM, UX Designer)
Jianglong Ye (Dev)
TOOLS
Figma
Xcode
TL;DR
ARchived is an iOS APP that leverages AR and machine learning technology to help users keep track of home inventories and make easy home organizing decisions.
Originally a course project for the course Information & Interaction Design Technology at ZJU, this project was later qualified for Mobile Application Innovation Contest and became a finalist. By Nov. 2020, our team had developed a functioning prototype on iOS, using SwiftUI, ARKit and CoreML.
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HMW STATEMENT
How might we devise tech intervention to enhance people's home organizing experience?
photo from Pexels
USER RESEARCH

WHO ARE WE
DESIGNING FOR?

To get an in-depth understanding of people’s inner thoughts when making home organizing decisions as well as their rationales behind their organizing patterns, we conducted semi-structured interviews, both on-site and online, with 7 participants that fitted a general persona (home organizers ranging from 18-45 y/o with middle to heavy smartphone usage).

Personas

According to our research results, we merged all factors that may affect one’s home organizing experience/quality into 2 groups: either Intention (intrinsic) or Hindrance (extrinsic).
INTENTION (intrinsic)
  • Are our user already in a good organizing habit? If not, how willing are they to make a change?
  • Do our users see the importance of home organizing, as well as the benefits lying underneath? Do they want to make time for it?
  • Do our users have a willpower strong enough?
HINDRANCE (extrinsic)
  • Are our users too busy for organizing their homes?
  • Do our users have too many items / not enough storage place in their residence?
  • Do our users need to do organizing for a bigger house / for multiple people?
Based on both Intention and Hindrance, we built an evaluation matrix as follows:
  • We divided all organizers into 4 quadrants and derived 3 personas as our target users.
  • Based on the users’ coordinates, we also evaluated & visualized how much they would need guidance on home organizing on a Z-axis (indicated by the level of green), and further prioritized our target users.
MY TAKEAWAYS
Don't get lost in details.
Use collaboration tools.