Work

Affective States in Software Programming: Classification of Individuals based on their Keystroke and Mouse Dynamics

Year: 2014

Type: article

Abstract: In this paper, a method is presented for the classification of an individual into two affective states: boredom and frustration.To gather the necessary data, the individual interacts with an Intelligent Tutoring System focused on the teaching of programming languages.The method involves a classifier based on k-NN, and feature vectors generated by the preprocessing of keystroke dynamics and mouse dynamics data.Accurate results are achieved by determining relevant subsets of the initial feature set, using genetic algorithms.These subsets facilitate the training of the classifiers for each affective state.

Source: Research in Computing Science

DOI: 10.13053/rcs-87-1-3

Authors: Amaury Hernandez-Aguila, Mario Garcia-Valdez, Alejandra Mancilla

Institution: Instituto Tecnológico de Tijuana

Language: English

Topic: Emotion and Mood Recognition

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Consejo Nacional de Ciencia y Tecnología, Dirección General de Educación Superior Tecnológica

OpenAlex ID: W2403082010

FWCI: 0.596

Cites: 17

Cited by: 4

Related to: 10