Title :
Extracting user preference from human natural interactions with physical items
Author :
Yu, Zhiyong ; Chen, Guolong ; Yu, Zhiwen ; Zhou, Xingshe
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Abstract :
With the help of pervasive computing, nowadays it is possible to gather user preference of physical items based on natural interaction, i.e., recognizing and recording user´s actual choosing behavior by sensors, then analyzing the history to learn his/her current preference. In this paper, we propose a method based on this idea and implement a prototype to collect and apply the dietary preference. Preliminary user study shows its effectiveness.
Keywords :
behavioural sciences computing; data acquisition; pressure sensors; signal detection; ubiquitous computing; user modelling; dietary preference; human natural interaction; pervasive computing; physical item; pressure sensor; user behavior recognition; user behavior recording; user preference extraction; Computers; Educational institutions; History; Noise reduction; Ontologies; Recommender systems; Sensors; natural interaction; preference acquisition; signal processing;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061732
