Week12 Kelsey Yu – Project 3 improved wireframes

++++ This is a group project with Yao Huang++++

project 3 wireframe improved

What I learned from paper prototype:

1: Allow users to connect the bank account to the application

2: Remove statistics on the tap bar

3: Make the app more intelligent which can automatically recommend the investment decision: including the amount of investment and sell/buy

4: Don’t ask users add a card when they logging in.

 

Week 10: Jaeky Cheong, Cici Xiang

Color picker

Project 3: Personalized eyeshadow, blush, and lipstick color suggestions
Functions of the app:
1. Analyze picture(skin tone, outfits color)
2. Suggests user the color of lipstick, blush and eyeshadow color which suits user’s
outfit, skin color, trend and season.
3. Suggests user related cosmetic products.
4. Purchase products in the app.
App map:
1. Homepage -search bar/ icon of search by pic/ icon of search by color
2. Picture – take a picture now/ uploading picture
3. Shopping Cart
4. Profile – pictures you posted/ products and colors you saved/ user’s skin tone/ user preference/ address/ name/ headshot

Week 10 – Ting and Jason

Smart app for meetings.

We are designing an app to record, analyze, and provide related references for group meetings. 

Inspiration:
Every time during the studio critique, guest crits always give us so many references and suggestions which are so hard to catch up in such short time. We usually take notes on the notebook but still miss out a lot. Also, we all have the experience that the crit gave an unsure name or terms which needed to be looked up afterward. Record the whole conversation could be a way to solve this problem, but how can we use Machine Learning to improve this experience?

Questions:
We followed this guideline from Human-Centered Machine Learning by Josh Lovejoy and Jess Holbrook to start off.

  • Describe the way a theoretical human “expert” might perform the task today.
    Ans:
    1.We would expect the expert to check if anyone mentioned incorrect information.
    2.to differentiate small talk/joke/sarcasm.
    3.to read the tone of the members. Who was agree or against with some certain idea?
    4.Categorize the transcription by recognizing the sound.
    5.Look up the dictionary or google.
  • If your human expert were to perform this task, how would you respond to them so they improved for the next time? Do this for all four phases of the confusion matrix.
    Ans:
    1.The user will be asked to delete unrelated reference on the report tab.
  • If a human were to perform this task, what assumptions would the user want them to make?

Week 10 – Franky Wang

App design for smart cars

+++ Group work with Yin Hu +++

We are designing a mobile app to provide automatic remote service for cars that allow users to control their smart car accessories and stay informed about the vehicle conditions when they are not in the car cabin. Also, users can make simple adjustments to car functions from the app for better convenience. 

App MapWireframe

WK10 Yin Hu & Franky Wang

Project3

app map

Wireframe

Feedback:

  1. consider if the user is a passenger.
  2.  buttons in the index page, buttons in other tabs, such as buttons in the safety tab, their positions makes users feel confused.
  3. tap the button to enter and tap it again to exit, users may don’t know how to use it.
  4. the car finding, the location detection technology?
  5. the approach to connecting cars may not be so convenient.