In this blog, I will continue to discuss the topics mentioned in the previous blog. This week, I keep doing research related to data-visualization projects. Data artist, Laurie Frick, uses self-tracking data to build beautiful patterns based on the website, name MoodJam, where users share their moods by color and single keywords.
(picture from https://www.theatlantic.com/entertainment/archive/2015/05/the-rise-of-the-data-artist/392399/)
In this project, the final visual product is highly abstract. It is more like collage art where artist collects pictures, such as news paper, magazine, and so on, from daily life and consider them as material which has their own characteristics. For example, in MoodJam, the artist considers the color card as a material that can be used to reflect people’s moods to reflect her own feelings during a period. Her feelings are the information she wants to reflect on by the way of data visualization. It has not lost its original function. However, compared with the project I mentioned in the previous blog. Laurie is more focusing on the visual effects of the patterns of the data she uses, rather than presenting information directly.
Hence, in Visual Earth and MoodJam, I found the main difference between these two projects is that Laurie found a more accurate characterization of material than it in Visual Earth although MoodJam was presented in an abstract way.
Ref:
1. MoodJam, by Laurie Frick: http://www.moodjam.com/
2.MoodJam: https://www.theatlantic.com/entertainment/archive/2015/05/the-rise-of-the-data-artist/392399/
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