Exploring Data Visualization

Jay Huh
Team Documentation: Conversational AI Project
3 min readDec 18, 2018

In order to visualize data of patients, we had to think about how and what kinds of data are we going to use. After having an interview with the psychology therapist, we could learn what kinds of information is important for them. There were quite many categories that we had to deal with, but we tried to focus on 4 buckets; physical, emotional, behavioral, and mental information. However, they are quite too many things to cover all the things for us in this project and we decided to visualize only emotion parts.

For visualizing emotion, we conducted some research on colors and shapes. According to the research conducted by a famous psychologist, we could find basic criteria for grouping a wide range of emotions into 5 categories. Also, we could match each of them with specific colors and shapes like this.

reference image from SCIENTIFIC AMERICAN
shapes we designed

By using these forms for emotions, we tried to design visualizations. At the first time, what we started was trying to make a visual connection with our basic form. By using the elements of Aaina, we could try these visualizations. But because of the dark background, it is hard to focus on reading data and we decided to change the whole color sets.

Using a white background, we had to compromise with the fact that it does not look like having the same brand image with Aaina. However, we thought for the users’ perspective, it might be better to visualize and read data.

When it comes to the line graphs, overlapping colors made it too complex. Thus, we decided to change into other forms of stacking layers of emotions instead of overlapping.

A counselor can see detail and recorded script which is related to the dominant emotion. The keyword that is directly related to the emotion will be highlighted with the color of the emotion, so that therapist can easily grasp what is the cause for the patient’s emotion.

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