Proposed interface for university campus map based on collaborative mapping from usability tests and heuristic evaluation
Campus Map, Usability Testing, Heuristic Evaluation
With the growth of the internet and the consequent increase in computers and cell phones worldwide, the use of interactive tools has become increasing. In cartography, it was no different. The maps underwent a significant transformation and migrated from analog to digital format, becoming increasingly interactive. Given this, the interface must have a good quality for interactive systems to be used successfully. To obtain quality interfaces, they must be evaluated throughout development, enabling the identification of possible interaction problems. In this context, this work is inserted, which proposes an interface of a university campus map (MAP campus) from preliminary analysis, usability tests, and heuristic maps assessment available on the web. To achieve this goal, 30 university maps worldwide were listed and analyzed. This analysis allowed the selection of Maps Maps from the University of Arizona, Cambridge, and Delaware to perform the usability test and heuristic evaluation, performed by six users and six specialists, respectively. Usability tests aimed to evaluate the interface's quality through users' capacity to conclude the tasks proposed efficiently and the satisfaction of user interaction with the interfaces. The heuristic evaluation aimed to evaluate the interfaces according to the heuristic criteria of Nielsen. Usability tests and heuristic evaluation performed that the mode of use between the tools is similar, as the degree of satisfaction demonstrated by users by performing the proposed tasks was identical. In addition, it was noted that usability problems and heuristics that were not respected in the interfaces do not have significant differences. The analysis of the results obtained when evaluating these interfaces provided subsidies for developing the UFBA prototype MAP Campus. Among the suggestions for improvement is the inclusion of tools that make the interface more inclusive and perform usability tests and heuristic evaluation for the proposed interface to predict possible usability problems.