RT Journal Article
T1 Evaluation of abstraction capabilities and detection of discomfort with a newscaster chatbot for entertaining elderly users
A1 De Arriba Perez, Francisco
A1 García Méndez, Silvia
A1 Gonzalez Castaño, Francisco Javier
A1 Costa Montenegro, Enrique
K1 3325 Tecnología de las Telecomunicaciones
K1 5802.01 Educación de Adultos
K1 5701.04 Lingüística Informatizada
AB We recently proposed a novel intelligent newscaster chatbot for digital inclusion. Its controlled dialogue stages (consisting of sequences of questions that are generated with hybrid Natural Language Generation techniques based on the content) support entertaining personalisation, where user interest is estimated by analysing the sentiment of his/her answers. A differential feature of our approach is its automatic and transparent monitoring of the abstraction skills of the target users. In this work we improve the chatbot by introducing enhanced monitoring metrics based on the distance of the user responses to an accurate characterisation of the news content. We then evaluate abstraction capabilities depending on user sentiment about the news and propose a Machine Learning model to detect users that experience discomfort with precision, recall, F1 and accuracy levels over 80%.
PB Sensors
SN 14248220
YR 2021
FD 2021-08-17
LK http://hdl.handle.net/11093/2572
UL http://hdl.handle.net/11093/2572
LA eng
NO Sensors, 21(16): 5515 (2021)
NO Xunta de Galicia | Ref. GRC2018/053
DS Investigo
RD 14-sep-2024