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Adaptive Interface Combined to Interface Patterns in Human Factors

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Advances in Human Factors, Software, and Systems Engineering (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 598))

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Abstract

Adaptive interface is an artifact with the objective to learn the user interactions and improve the system experience, and the adaptive system is a system that can adapt itself according with the user’s goals and preferences. Patterns can be defined as solution to recurring problems in a specific context. The interface pattern are patterns that help to organize the interface, such as structure and behavior, in order to generate more understandable and usable interface. The Interface Patterns in Personas Layers (IPPL) are interface patterns that contain a structure organized in layers that are built and classified according with personas. The goal of this paper is to present a structure of interface patterns based on IPPL that allows future projects of adaptive interface and human-robot interaction to consider the automatic changes of the iterative process based on a set of patterns.

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Acknowledgments

This work is supported by FEI (Fundação Educacional Inaciana Pe. Sabóia de Medeiros) and FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo), process number 2017/04942-1.

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Authors and Affiliations

  1. Fundação Educacional Inaciana Pe. Sabóia de Medeiros, Centro Universitário FEI, São Bernardo do Campo, São Paulo, Brazil

    Natalie Mie Takahashi & Plinio Thomaz Aquino Junior

Authors
  1. Natalie Mie Takahashi
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  2. Plinio Thomaz Aquino Junior
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Corresponding author

Correspondence to Natalie Mie Takahashi .

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Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Ahram

  2. University of Central Florida, Winter Park, Florida, USA

    Waldemar Karwowski

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Takahashi, N.M., Aquino Junior, P.T. (2018). Adaptive Interface Combined to Interface Patterns in Human Factors. In: Ahram, T., Karwowski, W. (eds) Advances in Human Factors, Software, and Systems Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-60011-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-60011-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60010-9

  • Online ISBN: 978-3-319-60011-6

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