Revisão sistemática de literatura sobre métodos de avalição da interação animal-computador (IAC)

Abstract

Animal-Computer Interaction (ACI) is an emerging field that seeks to develop technological systems for different animal species, considering their specific needs and capabilities. This study presents a Systematic Literature Review (SLR) on the evaluation methods applied in the creation and testing of these systems, aiming to identify, map, and analyze the approaches used, as well as their challenges and limitations. The results indicate the predominant use of methods such as behavioral observation, ethnography, and task analysis, which seek to respect the particularities of target species. However, significant challenges have been identified, such as difficulties in collecting and interpreting behavioral and physiological data, as well as the need for improvements in the standardization of methods. The study reinforces the importance of iterative and participatory approaches, as well as the development of new technologies to enhance interspecies communication and improve the accuracy of assessments. As future directions, it is suggested to refine methodologies and increase collaboration among specialists to strengthen the scientific foundation of ACI.