Publications

@article{augelloSiteExperienceEnhancement2021,

title = {Site Experience Enhancement and Perspective in Cultural Heritage Fruition— a Survey on New Technologies and Methodologies Based on a ``Four-Pillars'' Approach},

author = { Agnese Augello and Ignazio Infantino and Giovanni Pilato and Gianpaolo Vitale},

doi = {10.3390/fi13040092},

issn = {19995903},

year  = {2021},

date = {2021-01-01},

journal = {Future Internet},

volume = {13},

number = {4},

abstract = {This paper deals with innovative fruition modalities of cultural heritage sites. Based on two ongoing experiments, four pillars are considered, that is, User Localization, Multimodal Interaction, User Understanding and Gamification. A survey of the existing literature regarding one or more issues related to the four pillars is proposed. It aims to put in evidence the exploitation of these contributions to cultural heritage. It is discussed how a cultural site can be enriched, extended and transformed into an intelligent multimodal environment in this perspective. This new augmented environment can focus on the visitor, analyze his activity and behavior, and make his experience more satisfying, fulfilling and unique. After an in-depth overview of the existing technologies and methodologies for the fruition of cultural interest sites, the two experiments are described in detail and the authors' vision of the future is proposed. textcopyright 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {Augmented Reality, Cultural heritage, Multimodal Interaction, User Behavior Analysis},

pubstate = {published},

tppubtype = {article}

}

@article{augelloDetectionUserActivities2014,

title = {Detection of User Activities in Intelligent Environments},

author = { Agnese Augello and Salvatore Gaglio},

doi = {10.1007/978-3-319-03992-3_2},

issn = {21945357},

year  = {2014},

date = {2014-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {260},

pages = {19--32},

abstract = {Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). textcopyright Springer International Publishing Switzerland 2014.},

keywords = {Ambient intelligence, Behavioral Research, Intelligent Environment, User Behavior Analysis},

pubstate = {published},

tppubtype = {article}

}