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Influence Power Factor for User Interface Recommendation System

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11055))

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Abstract

User interface is an important element of software system since it provides the means for utilizing applications’ functionalities. There is number of publications that propose guidance for proper interface design, including adaptive approach. Following paper introduces general idea for definition of interface design in a way that allows for easy computing of user interface effectiveness. The introduced factor can be used for recommendation of interface changes and adjustment.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Marek Krótkiewicz & Krystian Wojtkiewicz

  2. ERCIS, University of Muenster, Leonardo-Campus 3, 48149, Muenster, Germany

    Denis Martins

Authors
  1. Marek Krótkiewicz
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  2. Krystian Wojtkiewicz
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  3. Denis Martins
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Corresponding author

Correspondence to Marek Krótkiewicz .

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Krótkiewicz, M., Wojtkiewicz, K., Martins, D. (2018). Influence Power Factor for User Interface Recommendation System. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-98443-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98442-1

  • Online ISBN: 978-3-319-98443-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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