Personal Visualization Using Botanical Metaphors

The area of personal visualization emerges as all information about individuals and their activities and behaviors goes online. With data surrounding our lives like medical history, activity logs, social network, etc., we also see growing demands of tools and devices for visualization and management of the data to facilitate self-development or to gain insights. Many representations can be used in personal visualization, which refers to visually depicting data in a personal context. Such an egocentric view of the data can serve several purposes and both the general public and domain experts such as sociologists and security analysts can make use of it. This project is about using botanical metaphors for personal visualization and furthermore, to compare with different visual representations in revealing the pros and cons.


[PDF]: Visual Characterization of Personal Bibliographic Data Using a Botanical Tree Design. Tsailing Fung, and Kwan-Liu Ma. In proceedings of In Proceedings of IEEE VIS 2015 Workshop on Personal Visualization: Exploring Data in Everyday Life. 2015

[PDF]: A Design Study of Personal Bibliographic Data Visualization. Tsailing Fung, Jia-Kai Chou, and Kwan-Liu Ma. In proceedings of 2016 IEEE Pacific Visualization Symposium (PacificVis). 2016, pp. 244-248.

[PDF]: Design and Effects of Personal Visualizations. Shimin Wang, Yuzuru Tanahashi, Nick Leaf, and Kwan-Liu Ma. IEEE Computer Graphics and Applications. volume 35, number 4, July, 2015, pp. 82-93.

[PDF]: Contact Trees: Network Visualization beyond Nodes and Edges. Arnaud Sallaberry, Yang-Chih Fu, Hwai-Chung Ho, and Kwan-Liu Ma. PLoS ONE. volume 11, number 1, 2016, pp. 1-23.

[Software]: Scholar Tree is a visualization design characterizing a researcher's academic career in terms of his/her publications.


Tsailing Fung is presently finishing her Masters in Computer Science at the University of California, Davis. Before getting into graduate school, she obtained her B.S degree in Computer Science from National Taiwan Normal University. She has been doing her research in the VIDI (Visualization and Interface Design Innovation) research group under Prof. Kwan-Liu Ma. Her research interests include information visualization and web development. Focusing on the usability, she enjoys designing systems that are intuitive for the domain users.

Jia-Kai Chou received his Ph.D. degree in information management from National Taiwan University of Science and Technology. He is currently a post-doctoral researcher in Computer Science at University of California, Davis. He is working with Professor Kwan-Liu Ma in the Visualization and Interface Design Innovation research group (VIDi). His research interests involve information visualization, visual analytics and multimedia systems.

Arnaud Sallaberry, is an Associate Professor at the LIRMM laboratory and the Paul Valéry University of Montpellier, France. His research includes Graph Visualization, Information Visualization, Visual Analytics, and Social Network Analysis. He defended his Ph.D. thesis on "Information visualization : from semiotic theory to practical examples based on graphs and hypergraphs representation" at the University of Bordeaux in October 2011. He was a member of the LaBRI laboratory. He was also a member of GRAVITE team which was part of INRIA Bordeaux Sud-Ouest. From August 2011 to July 2012, he was a postdoc researcher in the VIDI Lab at the University of California, Davis.

Shimin Wang is a first year master student majoring in Data Science in Carnegie Mellon University. He has been interested in data science for many years and he is always passionate for building interesting software to play with data. With especially interests in data visualization, he was a visiting student in ViDi Labs in 2014.

Kwan-Liu Ma is the head of VIDI Labs. He also chairs the Graduate Group in Computer Science (GGCS) of UC Davis. His research is in all areas of data visualization and he enjoys working with students to develop visualization solutions for new, challenging application problems.