@InProceedings{VasconcelosSant:2014:ClUsEx,
               author = "Vasconcelos, Leandro Guarino de and Santos, Rafael Duarte Coelho 
                         dos",
                title = "Classifying user experience of Web applications in real time using 
                         client logs",
            booktitle = "Resumos...",
                 year = "2014",
               editor = "Santiago J{\'u}nior, Valdivino Alexandre de and Ferreira, Karine 
                         Reis",
         organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 
                         14. (WORCAP).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "usability, task analysis, real time, user experience.",
             abstract = "With the increasing use of the Internet, the Web has become the 
                         pre-dominant means by which people obtain information. However, 
                         due to the rapid growth of the amount of resources available on 
                         the Web, users want to \find infor-mation quickly and 
                         ef\ficiently. Currently, web personalization has been 
                         explored to allow this, in order to encourage user feedback, 
                         improve usability and provide interesting content. In the 
                         literature, the most common approach is to analyze server logs. 
                         However, server logs do not provide information prior to the 
                         de-cision of a user when accessing a speci\fic page. 
                         Already client logs collected in the users browser allow detailed 
                         analysis of user interaction. The amount of data of the client 
                         logs is signi\ficantly greater than the amount of server 
                         logs, and this is one factor that discourages analysis of client 
                         logs. In this paper, an approach is presented to classify the 
                         level of user experience in real time, using indices of 
                         ef\ficiency and effectiveness and notifying the Web 
                         application about the results for a decision to be taken. The 
                         proposed approach, named RUX (Real-time User eXperience), contains 
                         an ef\ficient algorithm for analyzing the behavior of users 
                         of web applications in real time using client logs. RUX focuses on 
                         the paths that a user goes through during the interaction, 
                         comparing them to previously de\fined tasks. Experimental 
                         results show that the approach is ef\ficient for aspects of 
                         data collection, latency and scalability.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "12-13 nov. 2014",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3HBR288",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3HBR288",
           targetfile = "worcap2014_submission_19.pdf",
        urlaccessdate = "15 jun. 2024"
}