Heart Project

This week I ran into a lot of challenges with my conductive rubber cord stretch sensors. I used a heart plush prototype to test the resistance of an FSR sensor and hot glue/cyanoacrylate glue to mend the rubber to the fabric “valves”. Initially, this worked well but the jumper cables began to snap with medium force.




The FSR sensor will  start the melody mapped from Ableton Live. I created a scene with several tracks. Each track has 4 different clips.

FSR Sensor:  Melody
Valve 1: Drums
Valve 2: Bass
Valve 3: Sound Effects
Valve 4: Vocals

End user will squeeze the heart to start the melody (loop)
User will pull valve one for  drum. Drum loops until the user pulls valve one  again to select a different drum pattern. This occurs for each valve until a cohesive beat is created.

Ultimately, I’d like to use silicone to sculpt an anatomical heart but its been difficult searching for a realistic (large) heart mold online.

Data Selfie App – Snow Day

Drawing Connections

I compiled a bunch of selfies during the week using Joey’s selfie app starter code. In the    beginning, it was fairly simple, and I eagerly took many selfies, as planned daily. However, after the third day, I either totally forgot or the task became monotonous. I don’t take selfies regularly so I can’t say I had much fun with this one. Until Monday, March 4th — New York City snow day; NYC public schools were closed for the day along with universities and many businesses.

Side Note:

This is a picture of NYC “snow days” when I attended public school. Seriously.

Image result for nyc blizzard 1996

I decided to snap pictures throughout the day, when my dog barked but that was REALLY excessive because Magic barks every 30 seconds. I’ve been thinking about the gym lately and it’s been on my to-do list so I decided to take a selfie every time I thought about anything related to the gym like going to the gym, food plans to compliment my workout regimen, my workout routines etc. I collected 50 pictures during the day – and of course I needed to spice the selfies up because my face in every picture isn’t that exciting.

I also spent a lot of time working on the API Review and Simple Express API Demo which was pretty exciting and challenging. I did pretty well but ran into trouble making a put request.

I tried customizing my photo app a bit a came up with a few different shots. I also removed the geo location because its pretty accurate and that’s concerning once its shared publicly.








At the end of it all, I thought about the main question from the readings last week, “What are we going to do with all this data?”I know what I did, I deleted it.

Interaction I

I’ve been stuck for some time trying to figure out exactly what I want out of this project. What should it look like? How does it feel? How long will it take to build? I read Interaction Design Sketchbook by Bill Verplank for clarity and I realized I needed to shift  my thinking. I’m not a designer, so when I think in that capacity I over think  and spend a significant amount of time, wasting time. I’m a thinker, a creative – which means  my safe space is outside of the box often and at times, there isn’t even a box!

“Questions of Interaction Design” Bill Verplank


I’m approaching this project from a different perspective, with focus on “How do you DO?, How do you FEEL? and How do you know?” Placing emphasis on how  it works and less about aesthetics at this stage.

How do you DO?– I want buttons for full control and independence. The user should effortlessly press and use on command, without thought or much complexity.

How do you FEEL? How does this device communicate with the end-user. I’d like to evoke emotions in real-time. If the end-user is sad, this system should reflect sadness. Emotion Pushbutton/Sensor (How do you DO) trigger minor or major scales. For example, a user is happy – the sensor detects happiness and renders one of the 12 major scales:

Happy = output C Major (C, B, E, F, G, A, B, C)

How do you KNOW? I’d like a path based system (without steps). I want this experience to be an ongoing process;  actionable, experimental, expressive and free.  Move at your own pace and ability.

7-axis dimension space diagram

Priority features: Ease of use, mobility and independence.

Target audience. Open




My Data Feelings

ASSIGNMENT 3 (DUE: WEEK 04, 25 FEB 2019)

For this weeks assignment, I decided to build my data feelings app  around my daily goals. I love to do lists and task management apps. Lists allow me to hold myself accountable and I also enjoy the feeling of completing a goal and marking it done. In Making Sense of Data, the author mentioned “cultivating a habit” as one of the five common styles or purposes for self-tracking. Although habit tracking techniques are more about forming habits that support a desired outcome, I believe to do lists also relate (indirectly )to developing habits and/or identifying motivators. I create to do lists with the intention of completing a task (desired outcome) and I’m highly motivated when items are closed…  Habit tracking, yes?!

I followed the extremely helpful “how to video” Joey emailed last week and updated the data model with my own parameters using the default visuals. I ran into trouble modifying the event listener for a new range; the example code was identical but I believe I saved the modified code outside of a loop somewhere in another file. I figured things out after several hours and a quick  suggestion from Joey.

Update: I decided to track my emotions during this homework assignment because I experienced a range of different feelings while troubleshooting errors and breaking things along the way. The final output is a generative data visualization of my emotions  while working on assignment #3. Interestingly enough, I noticed similarities in certain shapes when I adjusted the range for “frustrated” vs “happy”.


Project Prompt Revised ver. 2

Harmony: Make music

I made music using the chord progressions, arpeggios and chords using Ableton/Ableton learning tool, Hookpad and Chrome Music Lab.  Hookpad was a steep  learning curve but it was fun and engaging. I really enjoy the Chrome lab tool but unfortunately, it doesn’t have a save option..

I have an idea of what I want in my mind, but it’s been difficult translating into an object. I thought about several instruments; a tool for songwriters, a music generated wearable and plenty of synthesizers. Ultimately, I’d like to build a musical instrument for an artist to use on stage as a performance piece.

Interactions:  pushbutton to play various instruments (sounds), compact, user-friendly, lightweight.


A week of Dawgs


About the Data:  I tracked the number of dogs I spotted for a week and it was pretty fascinating.  Collecting the data was exciting at first —  I spoke with the owners to learn more about  their dogs. Eventually, it became exhausting and I decided to take pictures and guess the breed or search online for a match using what-dog.net . What Dog classifies dog breeds using machine learning. Most of the photos I uploaded were  close-ups and the site returned  pretty accurate results for  each photo. I began tracking by using an application on my phone but there were too many steps involved and it was distracting so I decided to track with a notepad and pen. I recorded the breed type, color and size of each dog during my commute to and from Brooklyn and Manhattan each day/night. I transferred the data from my notepad to excel and  calculated the total count for the week along with the total count of different colors and the total count based on dog size. The data viz starts from the top of the postcard (day 1) and ends at day 5, the last day of tracking. I stayed in on Friday, Saturday and Sunday but managed to spot a dog while looking out of my living room window .  My excitement is clear and obvious in the first few days of data collecting; I started on the morning of Tuesday, Feb 5th and ran around the city like a mad person looking for data (dogs). By Thursday night, I only recorded dogs within walking distance or close enough to determine the breed. Here are the final numbers:

Total # of Dogs: 53

Tuesday: 15

Wednesday: 27

Thursday: 9

Friday: 1

Saturday: 1

Side note: I forgot to include my dog!!!, Magic Voilà Reggler (He’s the last dog on this page — sorry Magic!)

Any thoughts about how your self-tracking ideas might be refined as you gain more exposure to the discussions about self-tracking…

I learn something new with each self-tracking/tracking assignment, particularly getting into the habit of paying closer attention and  making a deliberate effort to change my perspective to see more around me.








Project prompt revised

I changed my original idea for something more tactile. I was inspired by the video below:


Musical user Path:

I’d like to design a wearable MIDI based instrument that works with standard controls and allows the performer  to create an interactive live experience. This instrument will be designed for and used by a close friend who is an artist and nudist. She’s deeply into yoga and body movement;  ideally, the wearable will be a form-fitting body suit allowing her use her entire body as a musical instrument while moving freely and expressively to create sound.

Aural mood board:

I used the  track “cool like dat” because it has a lot of the musical elements I’m interested in using for the body suit.


Cluster Analysis

Song – “Before I Let Go” by Frankie Beverly & Maze


Oblique Strategy “Cluster Analysis”

Group the rhythm, chordal and melodic elements

Body movement


Scene: Prospect Park – Barbecue area

As users move about the space, they hear different clusters of the song “Before I Let Go”. Each musical element is tied to their corresponding barbecue counterpart. Different musical elements begin to play as they walk throughout the designated area.

For example, users are instructed to walk towards the main component, the BBQ grill as they enter the space. The lead vocals start at 0:00, followed by the next attribute until all instruments are played harmoniously.



the barbecue (grill) – Lead vocals
sprinkler – high hats
kids playing / women laughing – tambourine
birds chirping – multiple synthesizers
dogs barking – background vocals
Utensils, plates napkins – Drums (kick, snare, toms, high hat, cymbals)
picnic table – rhodes keyboard
old men playing cards – bass
trees, grass – rhythm guitar / electric guitar
red cups – hand claps
tupperware – bongos

A1.1: Personal Data Download


My Data Double

Tracking down the digital breadcrumbs of my life.


  • Requested: ✅
  • Downloaded: Available Feb 5th
  • Notes: My secondary messaging app
  • Some notable features or things worth exploring include:
    • Photos
    • Conversations
    • Frequency and time messages were sent and received


  • Requested: ✅
  • Downloaded: Yes
  • Notes: I use Yelp from a browser often and rarely from my personal account
  • Some notable features or things worth exploring include:
    • My reviews
    • Places I’ve checked in
    • Bookmarked places – places to visit

Youtube – Search & watch history

  • Requested: ✅
  • Downloaded: Yes
  • Notes: I YouTube everything. Diseases and cures, horoscopes,  fitness, hobbies, fashion, advice, self-help. Everything.
  • Some notable features or things worth exploring include:
    • What I care about
    • Most watched videos
    • Search history


  • Requested: ✅
  • Downloaded: Yes
  • Notes: I spend a substantial amount of time on Instagram. I use  an iPhone feature called screentime for alerts when I reach my daily limit.
  • Some notable features or things worth exploring include:
    • Photos shared
    • Content I’ve posted
    • Tone of content / Identify mood and emotions
    • Photos I like


  • Requested: ✅
  • Downloaded: Yes
  • Notes: Primary car service
  • Some notable features or things worth exploring include:
    • Times and locations of trips
    • How often I use this service
    • Fares


  • Requested: ✅
  • Downloaded: Yes
  • Notes: I’m an online shopper
  • Some notable features or things worth exploring include:
    • Purchases
    • Shopping frequency