- Number of steps vs time; data taken from both smartwatch and smartphone
- Heart Rate throughout the day; taken from smartwatch
- Credit card purchases made throughout the day; gathered from online statements
- Websites visited throughout the day; gathered from chrome web history
- Computer usage throughout day; logged through special time tracking computer application
- Number of people interacted with; tracked by social interaction application
- Food consumed throughout day logged by time; tracked by calorie counter smartphone app
- Water consumed throughout day logged by time; tracked by calorie counter smartphone app
- Motion During sleep; taken from smartwatch
- Made a phone call • Tracked by AT&T
- Texted throughout the day • Also tracked by AT&T
- Carried phone around throughout the Day • Location tracked by Google
- Paid using Debt Card • Tracked by Bank of America
- Used MIT ID to tap into Dorm • Tracked by MIT
- Paid using Tech Cash • Tracked by MIT
- Streamed Music on Spotify • Tracked by Spotify
- Did a Google Search while logged into Google • Tracked by Google for smart article suggestions and frequent searches
- Tracked the package I ordered last week • Tracked by UPS
- Collected Aluminum Can Pressure Data in Lab • Kept track in a course spreadsheet
- Watched Netflix • Tracked by Netflix
- Posted a picture on Instagram with geotagged location • Tracked by Instagram
Data created by me for the day. (To the best of my knowledge)
- Guest Swipe on a BU Student’s Meal Plan for Breakfast: A guest swipe was used up by my friend which is stored on their system
- Paid the fare/Swiped onto the T at Kenmore: Fare was deducted from my charlie card
- Used my student ID to swipe myself in as a guest to Burton Conner
- Made a purchase with a credit card at La Verdes Convenience Store
- Data from card, and for internal store purchase
- Watched the Super Bowl on our TV: viewership data
- General phone data created from:
- Facebook messenger – sending messages
- Phone call
- Sent emails from phone and text messages
- Accepted an invitation to an event on Facebook
- Android smartphone (calls and texts) | data logged by phone software/at&t
- checked gmail | content specific info by google
- took multiple busses |location and charlie card data logged by mbta
- tapped ID to get into massart building |student ID # recorded, time, location
- tapped ID to get into massart print shop | student ID # recorded, time, location
- sent in my taxes | tax info/ ID info recorded by federal, state goverments and turbotax
- checked voter registration | ID info recorded on gov website
- bought theater ticket| credit card information/ email contact into recorded by ticketmaster
- listened to pandora | likes, dislikes, skips recorded by pandora to track and personalize stations
- browsed internet | data recorded on what I look at to better advertise to me
- facebook | data collected to better advertise to me
- watched tv | viewership data collected by networks
- bought curtains on amazon | credit card and shipping info collected by amazon
Data created on February 7th:
- Health app on iPhone tracks distance/steps walked and stairs climbed
- Ski Tracks app tracks one of my skiing runs
- sent text messages which are both stored on my phone and by AT&T
- bought lunch with my credit card – restaurant and my credit card company have information
- took photos with my phone
- posted a photo to Facebook with a tagged location
- listened to music on Spotify
- entered information into the Calendar app on my phone
- responded to emails
- Nike Running app tracks the distance and speed of my run
- swiped my ID card to get into Baker Dining
- watched an episode of Late Night with Steven Colbert on CBS.com
- wrote down this list in the Notes app on my phone
Sunday (2/7) was pretty light for me in terms of data creation. I was traveling for most of the day, so most of the data I create regularly by browsing the web was eliminated. Here’s what’s left:
- A constantly running health app on my phone tracked and stored my location and some other sensor data.
- I was in a car for several hours, so I probably showed up on at least one traffic camera.
- I sent multiple texts throughout the day.
- Other passive data usage on my phone was also tracked.
- I participated in a singing competition which was recorded and will probably be posted online.
- I was in a group photo which will also likely be posted online.
- I listened to music on Spotify, which keeps track of what I play.
- I watched the Super Bowl, whose viewership, like other TV programs, is tracked.
- I watched a show on Netflix, which also keeps track of these things.
- I checked my email, informing the mail server that I’ve looked at the messages.
- I followed a link to a website that very likely tracks visits.
- I looked at some course websites to plan my week.
- I used electricity, which shows up on my bill each month through an electronic system.
I probably missed some things, but if a day in which I spent the majority of my time doing very little produces this, it would be a daunting task to enumerate every point of data I produce on an average day.
- Bought a new journal at Paper Source: purchase and credit card information collected by Paper Source; purchase, location and time information collected by Bank of America
- Bought groceries at Roche Bros: purchase and credit card information collected by Roche Bros; purchase, location and time information collected by Bank of America
- Rode an Uber back to campus: location collected by Uber to personalize my experience, to display my history in receipts, to use for analytics at an aggregated level, etc.; purchase, location and time information collected by Bank of America
- Swiped into the dining hall: time and location collected by Wellesley Fresh to track dining hall traffic
- Wasted time on Facebook: information about how I use the app and who I am collected by Facebook for advertising targeting
- Bought some Super Bowl snacks at CVS: purchase and credit card information collected by CVS; purchase, location and time information collected by Bank of America
- Watched the Super Bowl: my party’s viewership counted by CBS, Nielsen, etc.
- Took photos on my iPhone: location and time collected by iPhone (Photos app)
- GPS location – continuously tracked by smartphone
- Amazon.com history – I ordered stuff
- Phone logs – every time a call is made/received
- Email – every time an email is sent/received
- Web browsing (laptop and smartphone) – recorded by websites, my browser, internet service provider
- Electricity usage
- Water usage
- Text message records – every time a text is made/received
- MIT Stellar – every login with MIT certificates
- File backup version history – Time Machine backups
- Automatic software usage monitoring/reporting
- Shipping parcel tracking – My Amazon.com order
Just having 12 datasets being created seems too little. I expected that in 2016 more of my activities would be recorded in some way or another.
Below are the activities I did that generated some form of data collection on Monday, February 8th, 2016. It was a relatively normal day, and when I was forced to think about it I was surprised at the number of activities for which I generated over the course of an average Monday.
- Used iPhone (texted, checked email, browsed web) | Apple and Gmail app collected information on geographic location, metadata on email communication, metadata on web clicks
- Used iPhone (Google Maps) | Google Maps app collected data about my geographic location
- Bought coffee, Charlie Card, sandwich (used credit card) | Charles Schwab collected financial information about where/when I made purchases
- Rode MBTA (swiped Charlie Card) | MBTA collected data about my location/transit riding
- Entered library at Tufts (swiped Tufts ID) | TUPD collected data about when I entered buildings on campus and my geographic location
- Logged onto Tufts wireless network | Tufts IT department collected data about my computer (i.e. IP address, network usage)
- Browsed the internet | Companies collected information about my preferences based on what I clicked on
- Listened to Pandora | Website collected information about my music preferences to tailor my station
- Called an Uber | Uber app collected information about where I was and where I was travelling, and also credit card information
- Watched TV | TV companies collected information about my TV viewing habits
Android Smartphone | Constantly tracking position, communication, etc.
Media Lab study | Jawbone constantly tracking my sleep and daily activity
Fraternity Elections | Obtained a new position. Data logged into meeting notes
Tap into MIT Buildings | Info from my ID logged into MIT systems
Ride on the T | Data from the Charlie Card in my MIT ID logged into T system
Purchase Movie Ticket | Credit Card information logged into AMC system
Purchase Food from Verde’s | Used a TechCash gift card, so no personal data
Uploaded Cover Photo for Facebook Event | Data about events I’m attending