Publications

@inproceedings{sorceMultimodalGuideAugmented2007,

title = {A Multimodal Guide for the Augmented Campus},

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

doi = {10.1145/1294046.1294123},

isbn = {978-1-59593-634-9},

year  = {2007},

date = {2007-01-01},

booktitle = {Proceedings ACM SIGUCCS User Services Conference},

pages = {325--331},

abstract = {The use of Personal Digital Assistants (PDAs) with ad-hoc built-in information retrieval and auto-localization functionalities can help people navigating an environment in a more natural manner compared to traditional audio/visual pre-recorded guides. In this work we propose and discuss a user-friendly, multi-modal guide system for pervasive context-aware service provision within augmented environments. The proposed system is adaptable to the user needs of mobility within a given environment; it is usable on different mobile devices and in particular on PDAs, which are used as advanced adaptive HEI (human-environment interaction) interfaces. An information retrieval service is provided that is easily accessible through spoken language interaction in cooperation with an auto-localization service. The interaction is enabled by speech recognition and synthesis technologies, and by a ChatBot system, endowed with common sense reasoning capabilities to properly interpret user speech and provide him with the requested information. This interaction mode turns to be more natural, and users are required to have only basic skills on the use of PDAs. The auto-localization service relies on a RFID-based framework, which resides partly in the mobile side of the entire system (PDAs), and partly in the environment side. In particular, RFID technology allows the system to provide users with context-related information. An implemented case study is showed that illustrates service provision in an augmented environment within university campus settings (termed "Augmented Campus"). Lastly, a discussion about user experiences while using trial services within the Augmented Campus is given. textcopyright Copyright 2007 ACM.},

keywords = {Human computer interaction, Information Retrieval, Multimodal Interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{augelloMultimodalChatbotBased2006,

title = {A Multimodal Chat-Bot Based Information Technology System},

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

year  = {2006},

date = {2006-01-01},

booktitle = {4th International Industrial Simulation Conference 2006, ISC 2006},

pages = {86--90},

publisher = {EUROSIS},

abstract = {The proposed system integrates chat-bot and speech recognition technologies in order to build a versatile, user-friendly, virtual assistant guide with information retrieval capabilities. The system is adaptable to the user needs of mobility being also usable on different devices (i.e. PDAs, Smartphone). The system has been implemented on a Qtek 9090 with Windows Mobile 2003 and a simulation for the cultural heritage domain is here presented.},

keywords = {Cultural heritage, Human computer interaction, IVA, Multimodal Interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{pilatoSimpleSolutionImproving2005,

title = {A Simple Solution for Improving the Effectiveness of Traditional Information Retrieval Systems},

author = { Giovanni Pilato and Giorgio Vassallo and Maria Vasile and Agnese Augello and Salvatore Gaglio},

isbn = {960-8457-09-2},

year  = {2005},

date = {2005-01-01},

booktitle = {Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems},

publisher = {World Scientific and Engineering Academy and Society (WSEAS)},

address = {Stevens Point, Wisconsin, USA},

series = {SEPADS'05},

abstract = {In this paper we present a system based on the LSA paradigm to improve the performance of a traditional information retrieval system. The proposed system aims to improve both the recall and the precision capabilities of traditional search engines thanks to a semantic query expansion and a subsequent semantic results filtering. A collection of 650 documents has been used to compare the performances of the proposed system with a traditional search engine. Experimental trials show the effectiveness of the proposed solution.},

keywords = {Human computer interaction, Information Retrieval, Latent Semantic Analysis, Semantic Spaces},

pubstate = {published},

tppubtype = {inproceedings}

}