All posts by Su Hyun Kim

User Study on Tiya

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It was really great to have this exchanging project session as I gained fresh perspective on my project. Joy and Rucha gave me brilliant insights on possible segments of Tiya users. From there, I narrowed down to a close network of friends and couples of the Millenials.

Here are the main characteristics of my target user:

Between Friends, Between Millenials

  • Who wants to always stay in touch (in an effortless way)
  • Who wants to connect better with their core network                     ex) family, besties
  • Who wants social media for emotions.
  • Who wants instant feedback, not many words.
  • Who wants effortless communication
  • Who is seeking to feel more/evoke emotions in busy urban life.
  • Who loves finding new ways of communication.
  • Who wants to see real time updates of friends
  • Who are lonely
  • Who likes emojis

Millenial Couples

  • Who thinks he/she is not communicating well or expressing himself/herself well virtually.
  • Couples who can’t see each other often. ex) long distance, couples who work a lot
  • Couples who love their own secret language.
  • Who are seeking for real time monitoring of whom you care
  • Who are not satisfied with chatting app.
  • Who is always looking for something exciting for a relationship.
  • Who wants the look and feel of emotions rather than stickers in apps(physical feedbacks beyond apps).
  • Couples who are all about expressing love.

Again, thank you Joy and Rucha for your creative brain! This was a great learning for me 🙂

Su’s spatial visualization

 

I did a visualization experiment with my Basis data and FourSquare data. This screenshot is showing three days of my heart rate on different locations.
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I do not think that I got a valuable insight out of my visualization. For my project, I am not sure spatial is a way to go as one can have so many emotions in one place.  My original assumption was that you will be able to see different emotion on different locations. This presumption was permissive and was proved that it is not easy to “average” out emotions and generalize a personality of a place if you are doing various tasks in one place.  See the upper part of my map, that is my home. It shows wide spectrum of hues. What this exercise verified was that you can have a diverse rage of heart rate data in a same location (especially home and work).

What I am curious to see is other people’s data at same location or time. I wonder if my product, Tiya can mediate various data. For example, one can be motivated if he/she sees that someone else near by is more active and positive. Seeing a group of people’s data will be really interesting for this experiment.

 

ASSIGNMENT 3: Su Kim

I started logging my temperature since Feb. 25th. I have been measuring my temperature manually (which might be the most unintelligent thing for an ITP student..) and logging it in excel sheet.

I log date, location, temperature(ear, armpit, index finger, ring finger, middle finger, two fingers together, palm and temple), what I ate (sometimes) and what I was doing or feeling. Later on I realized that it is very important to log my emotions so I tried to really understand what condition I am in every time I measured myself.

Here is a screenshot of my raw data:

Su-rawdata

And here are my data visualizations:

SuKimQS3

(1) This graph is showing all 8 points in one timeline. Which led me to a conclusion as shown on my next graph.SuKimQS4

(2) Fingers are much more sensitive in detecting changes in your body or emotions than ear, temple or armpit which are closely related to your core body temperature.
SuKimQS1

(3) Here I picked out my low points of the data. I learned that even though these low points look drastic on the graph, it doesn’t mean so much when I looked at the record of my feelings or what I did that point in time. I mostly just said I am cold or I am outside. One interesting thing about low temperature is that it’s because you are tired. Few points in time I have stated that I am tired or just woke up.

Feeling hot, on the other hand, shows a lot of emotions. The heat can be for both positive and negative reasons, but my emotions are usually on the powerful side.

SuKimQS2(4) This one is showing the intraday analysis of different body points. It’s interesting to find that my body has a rhythm throughout the day.

I also had another person (my husband) to monitor his temperature. It helped tremendously to see other person’s data. His circulations are more streamlined than my circulations. Even though it is not as drastic as mine, his data also proved that fingers are more sensitive and fluctuate more than other body parts. Visualizations below show 9 days of his temperature data:

RAF_QS_graph-04 RAF_QS_graph-05

Week 2: Experimenting with Temperature Sensors

My Progress:  I played with temperature sensors and different microcontrollers to see what is best for my project. So far, I have tried Arduino, Arduino with WiFi shield, Teensy and Lilypad. I really loved the size of Teensy. It was also perfect for my simple temperature sensor, but it was difficult to log in all the data. One way to do this can be connecting Teensy and my Android with a micro-USB to USB OTG adapter cable. Luckily, while I was searching for it, one of my resident lent me an RFduino, which is super tiny and has a built-in Bluetooth 4.0. This is perfect to make a connection with my Android, and once it’s all setup, I will combine my temperature data with Foursquare data (thank you for a great suggestion Arlene!). I will post any progress I make with RFduino soon!

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My Questions/Issues:  I am not sure what is the best spot to place my temperature sensor. I have been documenting the way people use their phones.  feb26_blog4 feb26_blog5

It seems like the sides are better than back of the phone but how many sensors should I place to get a seamless reading? I need to make a phone case soon and start experimenting on the placement of the sensor. Also, making wearables such as a ring or thimble for hands and an earplug for ears might be interesting possibilities.

Post #2: Physiological computing interface for blood circulation

            One of my friend told me a story of her trainer always checks her hand to see if her hand is as warm as his. If they are colder than his, he makes her do a lot of cardio. I found this very intriguing and also found this article about temperature regulation research that was done by Stanford biologists. Stanford researchers invented the rapid thermal exchange device that cools hands rapidly. This method was more effective than steroids. “Our major heat exchange surfaces in the body are, palms of our hands, the soles of our feel and our face. The reason is that these skin surfaces are under lane by very special blood vessels. What we can do by extracting heat from one hand is we can dramatically improve performance.” Says H. Craig Heller, an inventor of the Rapid Thermal Exchange (RTX).

There are many other reasons why checking blood circulation is important. Especially for our current living, so many of us are chained to desks. We are sitting longer and being less active. This sedentary lifestyle can lead to swelling in your calves, ankles and feet. These symptoms are cause by poor blood circulation.

I want to explore the idea of tracking blood circulation by making a temperature tracker for hands. By embedding a temperature sensor inside a smartphone case, a user wouldn’t need to do anything or wear anything. It will invisibly check your blood circulation and will sync the data straight to your phone.  The reason I am choosing a phone case for this experiment is because while smartphone adoption is growing ever so quickly; the number of people using technology to track their health appears flat, and the total market for fitness tracking devices is tiny ( 2011: The Social Life of Health Information and 2012: Tracking for Health).

I wonder if measuring temperature will bring different results than pedometers and how it will affect the exercise routine if one finds that he has not reached his most active/ most heated state.  It will check your lowest and highest temperature and where you were at those points in time. Making connections with locations will help you to find the lifestyle pattern you have not realized and what is causing low blood circulation. GPS will help you find out where you went to eat so it will also show a correlation between your diet and the blood circulation.