The Visual Information-Seeking Mantra [Overview first, zoom and filter, then details-on-demand.] of Ben Shneiderman summarizes many visual design guidelines and provides an excellent framework for designing Information visualization applications. However, when analyzing crimes and incident series, domain experts may follow a different approach. They start examining a concrete case or incident, which is later, often manually, compared with other cases to identify connections between crimes.
- How can we support experts analyzing crimes and incidents, if their modus operandi is opposite to the established information seeking mantra?
- Which interactions and visualizations can we use to help the user find relevant crimes and incidents, based on the one they’re currently examining.
- Think about ways to find relevant crime cases. Which methods are currently employed by experts and/or are used in the state-of-the-art?
- Create meaningful visualizations to help the user find relevant crimes and incidents. Exemplary questions are:
- How can we visually support the user in finding out whether a crime or incident is relevant?
- Which interactions should be employed to help the user to achieve his goal, when starting from concrete crime or incident?
- How can we provide the user with a meaningful visualization, which shows his analysis process?
- Design a prototypical framework to get intuitions about these questions.
- Shneiderman, Ben. "The eyes have it: A task by data type taxonomy for information visualizations." Visual Languages, 1996. Proceedings., IEEE Symposium on. IEEE, 1996.