TY - GEN
T1 - Perso2U
T2 - 4th International Conference on Technology Trends, CITT 2018
AU - Galindo, Julián Andrés
AU - Mazo, Raúl
AU - Loza-Aguirre, Edison
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Taking into account dynamic user properties such as emotions for interfaces adaptation at runtime is a challenging task. To deal with this issue, we propose to personalize user interfaces at runtime based on user’s emotions. This approach depends on emotion recognition tools to allow an Inferring Engine to deduce user emotions during the interaction. However, this inference releases many emotions without aggregating them. It makes more difficult the interpretation of user experience. Thus, we explore the feasibility of inferring similar emotional states (negative, positive and neutral) by grouping individual emotions. To achieve our goal, this paper reports on the results of an experiment to compare detected emotional states from different face recognition tools in web interaction. It evidences that it is feasible to infer similar emotion states (positive, negative, and neutral) from different emotion recognition tools, and the level of this similarity is still premature to have a robust categorization.
AB - Taking into account dynamic user properties such as emotions for interfaces adaptation at runtime is a challenging task. To deal with this issue, we propose to personalize user interfaces at runtime based on user’s emotions. This approach depends on emotion recognition tools to allow an Inferring Engine to deduce user emotions during the interaction. However, this inference releases many emotions without aggregating them. It makes more difficult the interpretation of user experience. Thus, we explore the feasibility of inferring similar emotional states (negative, positive and neutral) by grouping individual emotions. To achieve our goal, this paper reports on the results of an experiment to compare detected emotional states from different face recognition tools in web interaction. It evidences that it is feasible to infer similar emotion states (positive, negative, and neutral) from different emotion recognition tools, and the level of this similarity is still premature to have a robust categorization.
KW - Emotion recognition
KW - Face detection
KW - Inferring engine
KW - Runtime
KW - User interface adaptation
UR - https://www.scopus.com/pages/publications/85059781496
U2 - 10.1007/978-3-030-05532-5_21
DO - 10.1007/978-3-030-05532-5_21
M3 - Contribución a la conferencia
AN - SCOPUS:85059781496
SN - 9783030055318
T3 - Communications in Computer and Information Science
SP - 288
EP - 301
BT - Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
A2 - Botto-Tobar, Miguel
A2 - Pizarro, Guillermo
A2 - Zúñiga-Prieto, Miguel
A2 - D’Armas, Mayra
A2 - Zúñiga Sánchez, Miguel
PB - Springer Verlag
Y2 - 29 August 2018 through 31 August 2018
ER -