Personalisation on children's e-book: an analysis of book apps
Article No.: 41, Pages 1 - 10
Abstract
Children's books apps stand out from other e-book formats because they bring together multi-media and multimodal features designed especially for mobile interaction devices (MIDs), tablets and smartphones. In the context of MID, personalization is a specially targeted approach, since it prioritizes the user experience in interfaces and systems. However, there is a theoretical gap regarding the personalization of children's e-books. This paper aims to analyze whether and how customization has been applied in children's e-books, focusing on the app format, and find out what are the positive and negative aspects of that. Starting from a bibliographical survey, we discuss customization in the scope of Education and HCI areas and an analysis framework is built upon it in order to investigate six children's books award-winning applications. Through empirical analysis and bibliographic study, both in positive and negative aspects to the personalization of digital children's books are presented.
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Index Terms
- Personalisation on children's e-book: an analysis of book apps
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Published In
October 2017
622 pages
ISBN:9781450363778
DOI:10.1145/3160504
- Conference Chairs:
- Isabela Gasparini,
- Lara S. G. Piccolo,
- Program Chairs:
- Luciana A. M. Zaina,
- Roberto Pereira
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- UDESC: Santa Catarina State University
- Springer
- SBC: Sociedade Brasileira de Computação
- ACM: Association for Computing Machinery
- UFSCar: Federal University of São Carlos
- CAPES: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- UFPR: Universidade Federal do Paraná
- CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
- CGIBR: Comite Gestor da Internet no Brazil
- OU: The Open University
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New York, NY, United States
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Published: 23 October 2017
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IHC 2017
IHC 2017: Brazilian Symposium on Human Factors in Computing Systems
October 23 - 27, 2017
Joinville, Brazil
Acceptance Rates
IHC '17 Paper Acceptance Rate 66 of 184 submissions, 36%;
Overall Acceptance Rate 331 of 973 submissions, 34%
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