Publications

@article{sorceInteractingAugmentedEnvironments2010,

title = {Interacting with Augmented Environments},

author = { Salvatore Sorce and Agnese Augello and Antonella Santangelo and Antonio Gentile and Alessandro Genco and Salvatore Gaglio and Giovanni Pilato},

doi = {10.1109/MPRV.2010.34},

issn = {15361268},

year  = {2010},

date = {2010-01-01},

journal = {IEEE Pervasive Computing},

volume = {9},

number = {2},

pages = {56--58},

abstract = {The interactions of users and individuals with augmented environments are discussed. Pervasive systems have been observed to augment environments by integrating information into regular objects and activities. They consist of two parts, such as a visible part populated by animate or inanimate (AI) entities interacting with the environment through digital devices and an invisible part composed of software objects performing specific tasks. Researchers at the University of Palermo are developing a classification of devices to support more integrated interaction among pervasive system devices. They are developing the classification with specific reference to computing, memory, I/O, and networking capabilities. The device classifications and model definition will also support everything middleware designers use to create pervasive systems.},

keywords = {Augmented Reality, Pervasive Systems},

pubstate = {published},

tppubtype = {article}

}

@article{santangeloVirtualShopperCustomer2007,

title = {A Virtual Shopper Customer Assistant in Pervasive Environments},

author = { Antonella Santangelo and Agnese Augello and Salvatore Sorce and Giovanni Pilato and Antonio Gentile and Alessandro Genco and Salvatore Gaglio},

doi = {10.1007/978-3-540-76888-3_67},

issn = {03029743},

year  = {2007},

date = {2007-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {4805 LNCS},

number = {PART 1},

pages = {447--456},

abstract = {In this work we propose a smart, human-like PDA-based personal shopper assistant. The system is able to understand the user needs through a spoken natural language interaction and then stores the preferences of the potential customer. Subsequently the personal shopper suggests the most suitable items and shops that match the user profile. The interaction is given by automatic speech recognition and text-to-speech technologies; localization is allowed by the use of Wireless technologies, while the interaction is performed by an Alice-based chat-bot endowed with reasoning capabilities. Besides, being implemented on a PDA, the personal shopper satisfies the user needs of mobility and it is also usable on different mobile devices. textcopyright Springer-Verlag Berlin Heidelberg 2007.},

keywords = {Chatbots, Human computer interaction, Knowledge Representation, Multimodal Interaction, Pervasive Systems},

pubstate = {published},

tppubtype = {article}

}