![](bg8.png)
Figure 10: Occupancy of individuals in places over time.
5 CONCLUSIONS
We proposed a visual tool prototype and demon-
strated it with some charts and animations to visualize
a real-case scenario of an indoor movement dataset
generated in two university buildings used by faculty,
staff, and students. In this set, we explored the data
visually to answer some questions about individuals’
movements. We visualized the relations between in-
dividuals and places and the inter-relations with in-
dividuals × individuals and places × places. The
contribution is how we adapted the charts and ani-
mations to answer questions in this context and to
enhance analysts’ experience by reducing the time
spent on the analysis. Our future work aimed to in-
corporate more chart integration, filters, and function-
alities such as event thresholds in the dash tool to
(a) to facilitate environmental automation or monitor-
ing for social-distance control for COVID-19, to ad-
just the air-conditioning temperature, and to estimate
resources available; (b) to identify outliers and predict
movement online for indoor environments; and (c) to
make it more usable for human operators to derive in-
sights about the indoor movements. Finally, we plan
to test the tool by using another dataset and to conduct
an empirical study to evaluate its efficiency and ease
of use.
ACKNOWLEDGEMENTS
This work was partially supported by CNPq - Con-
selho Nacional de Desenvolvimento Cient
´
ıfico e Tec-
nol
´
ogico.
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