Exploring indicators from keyboard and mouse interactions to predict the user affective state

نویسندگان

  • Sergio Salmeron-Majadas
  • Olga C. Santos
  • Jesus Boticario
چکیده

Following a low cost and non-intrusive approach, in this paper we discuss how prediction rates from 5 different data mining algorithms using 4 different emotional labeling approaches differ when exploring the usage of keyboard and mouse interaction sources for affective states detection in a math problem solving experiment.

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تاریخ انتشار 2014