Yannis Stavrakas

Dr. Yannis Stavrakas

Athena Research Center

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 November 2021 in Urban Science
Verified
Journal Article
Open access
PDF file
KPKostis Pristouris
Kostis Pristouris
HNHarry Nakos
Harry Nakos
YSYannis Stavrakas
Yannis Stavrakas
KKKonstantinos I. Kotsopoulos
Konstantinos I. Kotsopoulos
TATheofanis Alexandridis
Theofanis Alexandridis
Konstantinos FerentinosKonstantinos Ferentinos
Konstantinos Ferentinos
Urban parks are important recreational spaces of environmental interest for citizens and city visitors. Targeted and attractive promotion of these areas can help develop alternative forms of “green tourism” and increase environmental awareness among citizens, which is particularly important and vital for the future of the planet. New technologies are a key tool for improving the experience of touring urban parks, as they can make the tour much more attractive by highlighting interesting information about the flora and fauna of the park, as well as various other points of interest. This paper presents an integrated system based on augmented reality, artificial intelligence, and data analytics methodologies, comprising both mobile and web applications, focusing on urban parks touring and management, respectively. Through the mobile app for the park visitors, an attractive, interactive touring environment is created which highlights the environmental and historical interest of those areas. At the same time, the web applications for the park managers receive and analyze visitor data to help improve the visitor experience and the overall quality of the park. Finally, the developed integrated system is evaluated to ensure that it meets all user requirements and that its usability and functional components satisfy both groups of potential users, i.e., park visitors and park managers.

1 July 2021 in Proceedings of the VLDB Endowment
Verified
Journal Article
Open access
AMAntonis Mandamadiotis
Antonis Mandamadiotis
SEStavroula Eleftherakis
Stavroula Eleftherakis
AGApostolos Glenis
Apostolos Glenis
DSDimitris Skoutas
Dimitris Skoutas
YSYannis Stavrakas
Yannis Stavrakas
GKGeorgia Koutrika
Georgia Koutrika
In this demonstration, we present DatAgent, an intelligent data assistant system that allows users to ask queries in natural language, and can respond in natural language as well. Moreover, the system actively guides the user using different types of recommendations and hints, and learns from user actions. We will demonstrate different exploration scenarios that show how the system and the user engage in a human-like interaction inspired by the interaction paradigm of chatbots and virtual assistants.