Standardized questionnaires are one of the methods used to evaluate User Experience (UX). Standardized questionnaires are composed of an invariable group of questions that users answer themselves after using a product or system. They are considered reliable and economical to apply. The standardized questionnaires most recognized for UX evaluation are AttrakDiff, UEQ, and meCUE. Although the structure, format, and content of each of the questionnaires are known in detail, there is no systematic literature review (SLR) that categorizes the uses of these questionnaires in primary studies. This SLR presents the eligibility protocol and the results obtained by reviewing 946 papers from four digital databases, of which 553 primary studies were analyzed in detail. Different characteristics of use were obtained, such as which questionnaire is used more extensively, in which geographical context, and the size of the sample used in each study, among others.
By using techniques such as the Wizard of Oz (WoZ) and video capture, this paper evaluated the performance of the Nao Robot in the role of a personal assistant, which was valuated alongside the impact of the assigned gender (male/female) in the perceived performance of the robot assistant. Within a sample size of 39 computer sciences students, this study assessed criteria such as: perceived enjoyment, intention to use, perceived sociability, trust, intelligence, animacy, anthropomorphism, and sympathy, utilizing testing tools such as Unified Theory of Acceptance and Use of Technology (UTAUT) and Godspeed Questionnaire (GSQ). These methods identified a significant effect of the gender assigned to the robot in variables such as intelligence and sympathy.
Children born in the Information Age are digital natives; this characteristic should be exploited to improve the learning process through the use of technology. This paper addresses the design, construction, and evaluation process of TITIBOTS, a programming assistance tool for mobile devices that allows children in the early childhood to create programs and execute them using robots. We present the results of using TITIBOTS in different scenarios with children between 4 and 6 years old. The insight obtained in the development and evaluation of the tool could be useful when creating applications for children in the early childhood. The results were promising; children liked the application and were willing to continue using it to program robots to solve specific tasks, developing the skills of the 21st century.
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