Open PersonalizationInvolving Third Parties in Improving the User Experience of Websites

  1. Arellano Bartolomé, Cristóbal
Dirigida por:
  1. Óscar Díaz García Director/a
  2. Juan Ignacio Iturrioz Sánchez Director/a

Universidad de defensa: Universidad del País Vasco - Euskal Herriko Unibertsitatea

Fecha de defensa: 15 de marzo de 2013

Tribunal:
  1. Mario G. Piattini Velthuis Presidente/a
  2. Diego López de Ipiña González de Artaza Secretario/a
  3. Sven Casteleyn Vocal
  4. Geert-Jan Houben Vocal
  5. Martin Gaedke Vocal
Departamento:
  1. Lenguajes y Sistemas Informáticos

Tipo: Tesis

Teseo: 115650 DIALNET lock_openADDI editor

Resumen

Traditional software development captures the user needs during the requirement analysis. The Web makes this endeavour even harder due to the difficulty to determine who these users are. In an attempt to tackle the heterogeneity of the user base, Web Personalization techniques are proposed to guide the users’ experience. In addition, Open Innovation allows organisations to look beyond their internal resources to develop new products or improve existing processes. This thesis sits in between by introducing Open Personalization as a means to incorporate actors other than webmasters in the personalization of web applications. The aim is to provide the technological basis that builds up a trusty environment for webmasters and companion actors to collaborate, i.e. "an architecture of participation". Such architecture very much depends on these actors’ profile. This work tackles three profiles (i.e. software partners, hobby programmers and end users), and proposes three "architectures of participation" tuned for each profile. Each architecture rests on different technologies: a .NET annotation library based on Inversion of Control for software partners, a Modding Interface in JavaScript for hobby programmers, and finally, a domain specific language for end-users. Proof-of-concept implementations are available for the three cases while a quantitative evaluation is conducted for the domain specific language.