Towards a Narrative-Aware Design Framework for Smart Urban Environments

Innovation in smart city systems is based on the principle that devices, places and everyday things can each be enabled to serve people in a real-time and responsive manner. This chapter presents a novel approach to the design of smart city systems that takes into account not only technical installations in a future Internet of Things environment, but also the power of human storytelling in an always-on networked world. It is only when environments are both sensor-driven and socially-aware that a more holistic, and therefore more useful, urban narrative can emerge in the future Internet context. The present chapter proposes a new narrative-aware design framework and applies it to a hypothetical city scenario in order to highlight its main components and the benefits it may offer to a future Internet city's actors.

[1]  Siobhán Clarke,et al.  An application framework for mobile, context-aware trails , 2008, Pervasive Mob. Comput..

[2]  G. A. Giannopoulos,et al.  The application of information and communication technologies in transport , 2004, Eur. J. Oper. Res..

[3]  Mao Ye,et al.  Location recommendation for location-based social networks , 2010, GIS '10.

[4]  Dickson K. W. Chiu,et al.  Towards ubiquitous tourist service coordination and integration: a multi-agent and semantic web approach , 2005, ICEC '05.

[5]  Jesus Boticario,et al.  samap: An user-oriented adaptive system for planning tourist visits , 2008, Expert Syst. Appl..

[6]  Vlad Trifa,et al.  Interacting with the SOA-Based Internet of Things: Discovery, Query, Selection, and On-Demand Provisioning of Web Services , 2010, IEEE Transactions on Services Computing.

[7]  Erik Wilde,et al.  A resource oriented architecture for the Web of Things , 2010, 2010 Internet of Things (IOT).

[8]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[9]  Licia Capra,et al.  diffeRS: A Mobile Recommender Service , 2010, 2010 Eleventh International Conference on Mobile Data Management.

[10]  Damianos Gavalas,et al.  An innovative mobile electronic tourist guide application , 2009, Personal and Ubiquitous Computing.

[11]  Xing Xie,et al.  Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks , 2010, GIS 2010.

[12]  Masanori Sugimoto,et al.  An Outdoor Recommendation System based on User Location History , 2005, ubiPCMM.

[13]  Martin Breunig,et al.  Database support for mobile route planning systems , 2004, Comput. Environ. Urban Syst..

[14]  Susanne Boll,et al.  Generic support for personalized mobile multimedia tourist applications , 2004, MULTIMEDIA '04.

[15]  Balqies Sadoun,et al.  Location based services using geographical information systems , 2007, Comput. Commun..

[16]  A Min Tjoa,et al.  E-Commerce and Web Technologies , 2002, Lecture Notes in Computer Science.

[17]  Wei-Ying Ma,et al.  Recommending friends and locations based on individual location history , 2011, ACM Trans. Web.

[18]  Abolghasem Sadeghi-Niaraki,et al.  Ontology based personalized route planning system using a multi-criteria decision making approach , 2009, Expert Syst. Appl..

[19]  Chien-Chih Yu,et al.  Personalized Location-Based Recommendation Services for Tour Planning in Mobile Tourism Applications , 2009, EC-Web.

[20]  Thomas Sandholm,et al.  Real-time, location-aware collaborative filtering of web content , 2011, CaRR '11.

[21]  Luis A. Hernández Gómez,et al.  Smart Cities at the Forefront of the Future Internet , 2011, Future Internet Assembly.