Multiperspectivality and Experimental Data Visualization
- Lines of sight: What knowledge might be available to one person but not another person (e.g., who spoke to whom)?
- Emphases: What features of data might be very important to one person but wouldn’t occur to someone else (e.g., building accessibility, gender-neutral restrooms)?
- Emotion: Are there ways to visualize data that reflect emotional states (e.g., calm vs. impassioned; for reference)?
Dataset: Albuquerque pollen counts. Example question: How does this data look to someone who isn’t allergic to pollen? Someone who is?
- Perception: What do “traditional” data visualizations assume about what we value and how we absorb information? Would it be possible to build a dataviz from another viewpoint about how to take in information or interact with the world?
Dataset: Property lost on NYC subway. Example question: Visualize the dataset “conventionally.” Now visualize it from the POV of someone encountering the lost property on a moving subway train.
- Power and authority: How does the world look different to someone who assumes they have control over their environment? Someone who can’t take that power for granted? Dataset: Title 9 Cases. Example question: How would a college administrator view this dataset? How about a potential victim?Dataset: Traffic stops in Washington, DC. Example question: How would a police officer use this data? What about a person concerned about racial profiling?