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With the use of sensors to monitor the physical processes that correlateto particular behaviors and sensations, technological advancementsand resources supplied by neuroscience began to provide thecapacity to interact with the study of the brain directly. This allowsus to experiment with as many sensory channels as feasible whilestill applying computational solutions. Brain-Computer Interfaces(BCI) can infer information about a user’s state and intentions byobserving his/her physiology, behavior in the work environment,and authority relationship. Using this data, it is possible to determinethe efficacy of the computer tools used to respond to theemotions evoked by the user when interacting with the solutionand adjust the tool’s goals. In this work, to analyze these interactions,we adopted a hybrid approach using user responses via thedigital SAM questionnaire and data collected using electrocardiogramand electroencephalogram sensors to check for any changesin the participants’ mood during their interaction with an End-UserDevelopment interface for authoring of serious games. The resultsof this round of evaluation were positive, demonstrating not onlythe good use of the tools but also motivating us to continue developingimprovements and conducting new tests on the prototypecreated to collect the physiological data. |
