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Subjective Evaluation of Prototypes and Task Complexities for Mobile Phone Usability

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Intelligent Computing Theory (ICIC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8588))

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Abstract

Different types of prototypes may have different effect on mobile phone interface design processes. Understanding these effects may help designers to evaluate design options in depth. Empirically derived research results may provide a realistic ways for evaluations. Confirming and extending our previous research study, this study investigates the effect of different mobile phone interface prototype types (paper, computer and fully operational device) on task complexities. Task complexity of mobile phone was measured by 5 scale self-evaluation instrument. Results showed that computer based prototype with complex task yielded the highest usability rate. This empirical based paper may help designers to evaluate what types of prototypes are usable for complex and non-complex tasks.

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Author information

Authors and Affiliations

  1. Hanwul Multimedia Communication Co. Ltd., 1012-1015, Ace High Tech21, 1470, U-dong, Haeundae-gu, Busan, Republic of Korea

    Ibrahim Furkan Ince

  2. A*STAR, Institute of High Performance Computing, 1 Fusionopolis Way ,#16-16 Connexis North, 138632, Singapore

    Ilker Yengin

Authors
  1. Ibrahim Furkan Ince
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  2. Ilker Yengin
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Politecnico of Bari, Via Orabona, 4,, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, 2522, North Wollongon, NSW, Australia

    Prashan Premaratne

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© 2014 Springer International Publishing Switzerland

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Ince, I.F., Yengin, I. (2014). Subjective Evaluation of Prototypes and Task Complexities for Mobile Phone Usability. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_64

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  • DOI: https://doi.org/10.1007/978-3-319-09333-8_64

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09332-1

  • Online ISBN: 978-3-319-09333-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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