Revelando problemas de usabilidade em aplicações para dispositivos móveis através da mineração de dados

Nowadays, usability is one of the most important attributes to facilitate the adoption and retention of mobile applications mainly because of the contextual interference in interactions. With the development of techniques for data capture, a large volume of data can be collected to assist in the evaluations. After storage of the data, another problem arises, how to perform the correlation of the data, allowing the identification of interaction problems. To contribute with the evaluations of usability this work include: (i) the description of an infrastructure for assessing usability using the concepts of cloud computing; (ii) the correlation of the data using the Apriori algorithm to perform data mining; and (iii) analysis of the use in practical of the method proposed.

[1]  Ian H. Witten,et al.  WEKA - Experiences with a Java Open-Source Project , 2010, J. Mach. Learn. Res..

[2]  Leandro Guarino de Vasconcelos,et al.  USABILICS: avaliação remota de usabilidade e métricas baseadas na análise de tarefas , 2011, IHC+CLIHC.

[3]  M. Csíkszentmihályi,et al.  Experience Sampling Method: Measuring the Quality of Everyday Life , 2006 .

[4]  Won Kim,et al.  Cloud Computing: Today and Tomorrow , 2009, J. Object Technol..

[5]  Artur Henrique Kronbauer,et al.  Um modelo de avaliação da usabilidade baseado na captura automática de dados de interação do usuário em ambientes reais , 2011, IHC+CLIHC.

[6]  Heinrich Hußmann,et al.  Evaluation of User-Interfaces for Mobile Application Development Environments , 2009, HCI.

[7]  Vaninha Vieira,et al.  Um estudo experimental de avaliação da experiência dos usuários de aplicativos móveis a partir da captura automática dos dados contextuais e de interação , 2012, IHC.

[8]  Clemens Holzmann,et al.  Automated and unsupervised user interaction logging as basis for usability evaluation of mobile applications , 2012, MoMM '12.

[9]  Alaa Mustafa El-Halees,et al.  Software Usability Evaluation Using Opinion Mining , 2014, J. Softw..

[10]  Ramez Elmasri,et al.  Fundamentals of Database Systems , 1989 .

[11]  Toni Granollers,et al.  Enhancing usability testing through datamining techniques: A novel approach to detecting usability problem patterns for a context of use , 2008, Inf. Softw. Technol..

[12]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[13]  Marti A. Hearst,et al.  The state of the art in automating usability evaluation of user interfaces , 2001, CSUR.

[14]  M. Avram,et al.  Advantages and Challenges of Adopting Cloud Computing from an Enterprise Perspective , 2014 .

[15]  Chun-hung Li,et al.  Web structure mining for usability analysis , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[16]  Anil L. Pereira,et al.  Using MySQL and JDBC in New Teaching Methods for Undergraduate Database Systems Courses , 2010, ICDEM.