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Study on Human-Computer Interaction in the Design of Public Self-service Equipment

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Advances in Usability, User Experience and Assistive Technology (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 794))

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Abstract

Public self-service equipment has a fixed use environment, complex product function, broad age group of users and other remarkable features compared to other products. This paper takes the increased amount of information and complicated operation of self-service equipment nowadays as the breakthrough point to conduct theory, case study and evaluation. This article studies the human-computer interaction factors in public self-service equipment from two aspects: appearance function design and interface interaction design. taking the bank self-service bank card machine as an example, and several simulation interface interactive systems are designed, then through the eye-tracking for testing, to analyze the data from the tests, according to the theoretical and experimental research results, the appearance and interactive interface of bank self-service card machine are designed. The results of this article greatly enhance the users’ interactive experience, and achieve the optimization and upgrading of human-computer interaction, the theoretical results of this article are of reference, the experimental results are repeatable, which are conducive to different disciplines of reference and using for reference.

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References

  1. Yarui, C., Jucheng, Y.: Multimodal biometrics recognition based on local fusion visual features and variational bayesian extreme learning machine. Expert Syst. Appl. 32(5), 43–51 (2016)

    Google Scholar 

  2. Yaming, W., Fuqian, T.: Robust text-independent speaker identification in a time-varying noisy environment. J. Softw. 26(9), 21–34 (2012)

    Google Scholar 

  3. Gaurav, G., Paritosh, M., Angshul, M.: Group sparse representation based classification for multi-feature multimodal biometrics. Inf. Fus. 32, 3–12 (2016)

    Article  Google Scholar 

  4. Ali, I.A.: From classical methods to animal biometrics: a review on cattle identification and tracking. Comput. Electron. Agric. 123, 423–435 (2016)

    Article  Google Scholar 

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Correspondence to Huaming Peng .

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Peng, H., Liu, S., Zhang, T. (2019). Study on Human-Computer Interaction in the Design of Public Self-service Equipment. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience and Assistive Technology. AHFE 2018. Advances in Intelligent Systems and Computing, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-319-94947-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-94947-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94946-8

  • Online ISBN: 978-3-319-94947-5

  • eBook Packages: EngineeringEngineering (R0)

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