Human-data interaction: Data analysis for Brazilian dam safety
Abstract
The use of data has become increasingly more important, and indispensable for the learning of new knowledge, to provide decision-making in different contexts. In particular, the use of interactive systems to support decision making in critical and security contexts is fundamental. However, systems that allow data exploration need to have good usability to allow experts and laypeople to perform effective data exploration when interacting with those systems. This study sought to evaluate the usability of a system with information regarding Brazilian dams that has a panel and an information filter, by tests with users. Tests were carried out with 18 participants with knowledge about dam safety, aged between 22 and 45 years. After the interpretation of the data obtained by the test and its comparison with heuristics already existing in the literature, it was possible to carry out a mapping of problems in the interaction, with a view to providing improvements for the next version. One of the most mentioned problems by users was related to a map functionality, which did not appear to be interactive, and which was created to assist in navigating through the data. The problem related to the presentation of the information was due to the functioning of the amount of filters, often its other confusing for the participants. In this way, it was possible to identify data models that work for users, as well as whether an application was delivering adequate performance to those who searched for information on the platform.
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