Week 11: KPIs
Rubric Things I Want Things I Don’t Want Things I’m Okay With A realistic model of a house based on where I grew up An experience too complicated to both build and interact with Users interpreting the experience freely A representation of my family’s experiences…
Sammy’s Thesis KPI’s
PART 1 What do you want? To have a project that I feel represents where my body of work is going What excites you, what terrifies you? What excites me is everything coming together to achieve visuals and meaning that I could have never…
Fangling’s KPI Blog
Other personal goals: 1. It will be a great online performance experience that helps people imagine the future both visually and aural. 2. It will have a special audio-visual experience, leading people to feel strong synaesthesia. 3. It will promote emotional interaction and communication among…
Thesis Week 11
Updated timeline Continued research For the physical computing part, this week I was introduced to projection mapping and have been playing with MadMapper as a technical practice. Also, I’m sourcing various fabric materials that can be used as projection interfaces. Here is a list of…
Thesis Journal 06 – Jackie
10 criteria: – I want it has spatial aesthetics – I want it has a visual impact – I want it will able to connect the mechanism well with the theme – Design a fun interactive experience – Players can participate in a high degree,…
thesis KPIs
finish at least 2-3 prototypes for short emotional journeys learn shaders and apply shaders to my prototypes finish researching and make design decisions about artistic styles (colors、patterns and etc)
KPI thoughts & Ideas for my project.
I summarized my last week’s idea progression for KPI in below, after adding some opinion & ideas. A. Standards for KPI : Among all the comment I wrote by myself, BOLD part felt most important for my meaning of thesis. Part 1. Free-writing…
Week 10 – KPI/OKR and Project Plan
Following discussions, it looks like I will make a small course correct and broaden the topic of my research to: The use of ML & AI in the Retail space. This is effect, I put together the following temptative plan between now and the end…
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Allison Parrish
Alexis Sanders
Alice Tang
Beth Fileti
Brian Ho
Cameron Surh
Jack (Hongsuk) Chun
Judy Lieff
M Dougherty
Sarah Hakani
Vince Picone
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Stavros Didakis
Danni Wang
Fangling Huang
Lu Song
Ma (Yussef) Hanran
Ke (Marco) Ma
Qianfei (Jackie) Chai
Shengsen (Frost) Ni
Shu Zhang
Sihan (Shaun) Zhou
Xiaoxuan (Amanda) Jiang
Yutian Wang