Estendendo o modelo maltu para a avaliação da usabilidade e experiência do usuário em sistemas ubíquos

Abstract

In the ubiquitous paradigm, systems have certain specific quality-of-use characteristics that traditional Human-Computer Interaction (HCI) methods may not be able to address, because they were generally created to evaluate desktop systems, and on UbiComp (Ubiquitous Computing) and IoT devices (Internet of Things), the interface is not necessarily a screen, but it can be a voice, as in the case of the virtual assistant Alexa. It is possible to mention the following quality of use characteristics specific to UbiComp and IoT devices: context-awareness, invisibility, attentiveness, calmness, mobility and synchronicity. MALTU is a method for evaluating usability and user experience based on comments left by users on social systems. This work extends the model to these quality characteristics of use in order to verify if its applicability to ubiquitous systems is possible. During the work, three evaluations were made with the original MALTU for the creation of the extension. Then, three evaluators performed two evaluations on the same device, one with the extended MALTU, and another with the heuristic evaluation using specific heuristics for ubiquitous systems (HUbis). After the evaluations, there was a focus group with the evaluators, and the results were analyzed and compared in order to verify if the extended MALTU is capable of identifying problems typical of ubiquitous devices. The results indicate that the extension was able to identify interaction problems in ubiquitous devices, mainly related to usability and user experience, even with some difficulties in understanding the AMICCaS concepts for the classification of comments.