RESUMO
Intelligent Personal Assistants (IPAs), such as Amazon's Alexa, are now widely used for an ample variety of tasks, ranging from personal management to education. These tools have shown considerable promise for student-educator interactions, especially at a distance, a potential that has come to the forefront during the ongoing COVID-19 pandemic. Even so, this potential is still underexploited, even in the current scenario. Alexa's apps are known as skills, which include all the different commands that Alexa is capable of executing. It is important to note, however, that the use of such technology is work-intensive and can be relatively complex. Given this, to facilitate the development of new skills in Alexa, we have developed an online tool that permits the creation of questions and answers, as well as honing the interaction between Alexa and the user. We have named this tool ForAlexa, which has two types of forms, Question-And-Answer (Q&A) and Random-Quote. Both these forms allow the user to build intents (an activity that is invoked by a spoken request from the user), but with slightly different functions. The Q&A form is used to compile answers that Alexa will offer in response to an utterance (question), while the Random-Quote extends the interaction between Alexa and the user, based on the questions asked in the first form. ForAlexa also has a help assistant, as well as a manual, which explains all the steps necessary for the design of an intent. This tool allows educators to develop apps quickly and easily for their classes and this type of app could be an alternative to be used for students with special needs, such as the visually-impaired. Supplementary Information: The online version contains supplementary material available at 10.1186/s12052-022-00169-z.
RESUMO
The aim of this study was to verify the applicability and reproducibility of the FSS system [8] adapted for frontal and lateral cephalometric radiographs of the frontal sinus for human identification purposes. Eighty lateral and frontal digital cephalometric radiographs from a private Dental Radiology service's database were evaluated. Evaluations were performed in a dimmed lighting room, using a 4.200 lux lightbox with mask, ultrafan paper and pencil with a 0.5 diameter tip. The sheet of paper was superimposed on the radiograph to obtain the outlines of the frontal sinus and two examiners made the drawings independently at two different times, with a minimum period interval between evaluations. To obtain the linear physical measurements of the frontal sinus, a digital pachymeter was used. Later, all the discrete variables were codded for the statistical analysis. All variables were tested by means of the Cohen's Kappa test. The intraexaminer agreement ranged from good to perfect (p<0.001), while the interexaminer agreement ranged from regular to perfect (p<0.001). The use of frontal and lateral cephalometric radiographs was found to be reproducible and reliable for human identification by an adaptation of FSS system.
