TY - GEN
T1 - REVISIÓN Y NUEVA CLASIFICACIÓN DE MÉTODOS DE EVALUACIÓN DE LA EXPERIENCIA DE USUARIO PARA LOS HMI INDUSTRIALES
AU - Aranburu, Erik
AU - Lasa, Ganix
AU - Gerrikagoitia, Jon Kepa
AU - Mazmela, Maitane
N1 - Publisher Copyright:
© 2019 by the authors. Licensee AEIPRO, Spain.
PY - 2019
Y1 - 2019
N2 - With the advent of the new Industry 4.0, the human-machine interaction is presented as a key challenge. In this new industrial landscape, the Human Machine Interfaces (HMI) where the greatest number of interactions occur, must be adapted to users, so that they can exploit all the value offered by new technologies. In this context, the user experience is one of the disciplines that most potential shows in the design and evaluation of industrial HMIs. Systems designed based on the user experience, beyond increasing the efficiency of operators, will generate positive emotions that impact their motivation and involvement, increasing intelligence, decision-making capacity and facilitating learning processes. Faced with this situation, and seeing its potential, this article presents a review with a new classification of user experience evaluation methods, with the aim of identifying new opportunities to introduce this discipline in the design and assessment of industrial HMIs.
AB - With the advent of the new Industry 4.0, the human-machine interaction is presented as a key challenge. In this new industrial landscape, the Human Machine Interfaces (HMI) where the greatest number of interactions occur, must be adapted to users, so that they can exploit all the value offered by new technologies. In this context, the user experience is one of the disciplines that most potential shows in the design and evaluation of industrial HMIs. Systems designed based on the user experience, beyond increasing the efficiency of operators, will generate positive emotions that impact their motivation and involvement, increasing intelligence, decision-making capacity and facilitating learning processes. Faced with this situation, and seeing its potential, this article presents a review with a new classification of user experience evaluation methods, with the aim of identifying new opportunities to introduce this discipline in the design and assessment of industrial HMIs.
KW - Human Machine Interface
KW - classification
KW - evaluation
KW - industry 4.0
KW - review
KW - user experience
UR - https://www.scopus.com/pages/publications/85150592644
M3 - Contribución a la conferencia
AN - SCOPUS:85150592644
T3 - Proceedings from the International Congress on Project Management and Engineering
BT - Proceedings from the 23rd International Congress on Project Management and Engineering, CIDIP 2019
PB - Asociacion Espanola de Direccion e Ingenieria de Proyectos (AEIPRO)
T2 - 23rd International Congress on Project Management and Engineering, CIDIP 2019
Y2 - 10 July 2019 through 12 July 2019
ER -
