Analyzing Business Models for Mobile Augmented Reality

Bernardos Barbolla, Ana M. y Casar Corredera, Jose Ramon (2011). Analyzing Business Models for Mobile Augmented Reality. En: "15th International Conference on Intelligence in Next Generation Networks, ICIN 2011", 08/10/2011 - 11/10/2011, Berlin, Alemania. ISBN 978-1-61284-319-3.

Descripción

Título: Analyzing Business Models for Mobile Augmented Reality
Autor/es:
  • Bernardos Barbolla, Ana M.
  • Casar Corredera, Jose Ramon
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 15th International Conference on Intelligence in Next Generation Networks, ICIN 2011
Fechas del Evento: 08/10/2011 - 11/10/2011
Lugar del Evento: Berlin, Alemania
Título del Libro: Proceedings of the 15th International Conference on Intelligence in Next Generation Networks, ICIN 2011
Fecha: 2011
ISBN: 978-1-61284-319-3
Materias:
Palabras Clave Informales: Augmented reality; business models; mobile applications
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Nowadays, a wide offer of mobile augmented reality (mAR) applications is available at the market, and the user base of mobile AR-capable devices -smartphones- is rapidly increasing. Nevertheless, likewise to what happens in other mobile segments, business models to put mAR in value are not clearly defined yet. In this paper, we focus on sketching the big picture of the commercial offer of mAR applications, in order to inspire a posterior analysis of business models that may successfully support the evolution of mAR. We have gathered more than 400 mAR applications from Android Market, and analyzed the offer as a whole, taking into account some technology aspects, pricing schemes and user adoption factors. Results show, for example, that application providers are not expecting to generate revenues per direct download, although they are producing high-quality applications, well rated by the users.

Más información

ID de Registro: 12412
Identificador DC: http://oa.upm.es/12412/
Identificador OAI: oai:oa.upm.es:12412
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6081111&tag=1
Depositado por: Memoria Investigacion
Depositado el: 18 Dic 2012 12:13
Ultima Modificación: 21 Abr 2016 11:39
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