http://hdl.handle.net/10316/27719 2020-03-07T13:54:50Z http://hdl.handle.net/10316/87771 Title: Mapping Controls on a 2D User Drawn Racetracks Driving Game - An Usability Assessment Authors: Rocha, Fernando; Machado Santa, Pedro; Jorge Carlos dos Santos Cardoso; Pereira, Luís Lucas; Roque, Licínio Abstract: In this paper, we present the results from an experiment designed to evaluate the user experience of five different control schemes (buttons, steering wheel, joystick, joystick+button and accelerometer-based tilting) in a 2D top-down racing mobile game designed specifically for children. The experiment was conducted with 24 children from ages 6 to 14, both male and female, and with different levels of experience with mobile devices and mobile gaming. We present the results from our observations from the participants’ interaction with the game as well as the results from a questionnaire and interview. Results indicate that the joystick controller provides a better experience than the proposed alternatives to inexperienced players. Author 2019-10-01T00:00:00Z http://hdl.handle.net/10316/27746 Title: Musical pattern extraction using genetic algorithms Authors: Grilo, Carlos; Cardoso, Amilcar Abstract: This paper describes a research work in which we study the possibility of applying genetic algorithms to the extraction of musical patterns in monophonic musical pieces. Each individual in the population represents a possible segmentation of the piece being analysed. The goal is to find a segmentation that allows the identification of the most significant patterns of the piece. In order to calculate an individual’s fitness, all its segments are compared among each other. The bigger the area occupied by similar segments the better the quality of the segmentation. 2003-01-01T00:00:00Z http://hdl.handle.net/10316/27745 Title: Experimental study of a similarity metric for retrieving pieces from structured plan cases: its role in the originality of plan case solutions Authors: Macedo, Luís; Pereira, Francisco C.; Grilo, Carlos; Cardoso, Amílcar Abstract: This paper describes a quantitative similarity metric and its contribution to achieve original plan solutions. This similarity metric is used by an iterative process of piece retrieval from structured plan cases. Within our approach plan cases are tree-like networks of pieces (goals and actions). These case pieces are ill-related each other by links (explanations). These links may be classified as hierarchical or temporal, antecedent or consequent, and explicit or implicit. Besides links, each case piece has also information about its properties (the attributes-value pairs), its hierarchical and temporal position in the case (the address), and about its constraints in the relationship with others (the constraints). The similarity metric computes a similarity value between two case pieces taking into account similarities between these case piece's information types. Each time a problem is proposed, different weights are given to some of those similarities, with the aim of solving it with an original solution. This similarity metric is used by the system INSPIRER (ImagiNation taking as Source Past and Imperfectly REalated Reasonings). We illustrate the role of the similarity metric in the creativity of solutions, focusing specially their originality, with the presentation of the experimental results obtained in the musical composition domain, which is considered by us as a planning domain. 1997-01-01T00:00:00Z