Visualizing Dynamic Networks with Matrix Cubes by Benjamin Bach
- dynamic networks: networks that change over time, eg social networks, regional brain signals, migration flows, messages between people and systems
- how can we help people understand changes over time? much research over time with different representations supporting different tasks; would like to integrate these views while keeping it simple and powerful
- matrix cubes: node-link diagrams + matrices; matrix per timeslice stacked by time; 2 dimensions of nodes and 1 of time; more of a mental model for overview and pivot control, not a 3D visualization because of problems like occlusion; project 2D reps using cube to manipulate and explore; filtering, slicing, etc
- evaluation: antenna network domain + brain signals domain; quickly understood, liked consistency, animated transitions helpful, like linking and filtering, views for particular task, first legible visualization
A Table! Improving Temporal Navigation in Soccer Ranking Tables by Charles Perin
- soccer has lots of spatial-temporal events, results, and ranking tables
- ranking tables change each week; how to improve ranking navigation?
- analyzed 44 tables; 51 result articles; 33 temporal tasks; weighted tasks by importance and popularity
- drag-cell: drag in cell to change time and update data
- viz-rank: select cell to expand into line charts showing multiple metrics over time
- evaluation: basic tasks effective and faster for many tasks; more accurate but slower for complex tasks; can mix simple and advanced interaction techniques in same table, discoverability and learnability remain problematic, empower legacy visualization techniques
Kinetica: Naturalistic Multi-touch Data Visualization by Jeff Rzeszotarski
- multi-variate data interaction with touch on mobile devices; post-WIMP/naturalistic interfaces; exploit innate human capabilities
- ****** visual sedimentation for log data
- Kinetica: naturalistic metaphors to explore data; fun and intuitive; data are pseudo-tangible objects, physics, fluidity
- interrogation vs manipulation tools; force-based plotting; sifting; size and highlighting; merge points into groups
- benefits: rich mental models of information; intuitive awareness of amount and distribution; outliers stand out; physical traces of filtered points, minimize training for new users
- compare performance in excel vs Kinetica: car buying task + open ended task based on titanic data; newcomers could work with even 5 dimensions or more; excel users had point and statistic findings but kinetics had comparative findings
Traffigram: Distortion for Clarification via Isochronal Cartography by Sunghoo Hong
- spatial distance is not equal to spatial accessibility; hard to estimate time from distance, especially on a map; add temporal dimension to map via isochronal cartography; also show change over time; can this benefit users in a usable way?
- Traffigram: side by side physical map + distorted for travel time and ability to select time to display on maps; user in center to show time to other places
- evaluation: 12 local students and 13 distant to control for familiarity; 4 tasks; projection sparseness leads to trouble guessing contorted positions, but too complex can confuse, so must find right balance; faster and more accurate than using google map with traffic
