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Human–Computer Interaction Design Testing Based on Decision-Making Process Model

  • Baiqiao Huang
  • Pengyi Zhang
  • Chuan WangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 527)

Abstract

According to the disadvantage that traditional software interface testing focuses on the overall evaluation of the satisfaction with human–computer interaction (HCI) without further consideration of the decision-making process rules of human in HCI and gives insufficient guidance for interface design. An approach for test of software HCI design based on decision-making model is proposed by analyzing the information visual search and logic decision-making process in HCI process and considering the effect of software interface design elements on decision-making. The test mainly includes tests of interface color matching, visual search efficiency, logic decision-making, and time pressure. The test elements provide better guidance for the design of software interface.

Keywords

Man-machine-environment system engineering (MMESE) Human–computer interaction design Decision-making process model Visual search Software test 

References

  1. 1.
    Dong J, Fu L, Rao P et al. (2013) Human-computer interaction: user-centered design and evaluation [M]Google Scholar
  2. 2.
    Sauro J, Lewis JR (2012) Quantifying the user experience: practical statistics for user research [M]Google Scholar
  3. 3.
    Dumas J, Redish JC (1999) A practical guide to usability testing, Rev edn. Intellect Led, LondonGoogle Scholar
  4. 4.
    Rubin J (2008) Handbook of usability testing: how to plan, design and conduct effective tests. Wiley, New YorkGoogle Scholar
  5. 5.
    Long Z (1993) Man-machine-environment system engineering theory and its significance in productivity development. In: Progress in man-machine-environment system engineering research, vol 01. Beijing Science and Technology Press, Beijing, pp 2–13Google Scholar
  6. 6.
    Rasmussen J (1983) Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. J IEEE Trans Syst Man Cybern 13(3):257–266CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.China Ocean Security system of system Innovation CenterBeijingChina
  2. 2.System Engineering Research Institute of China State Shipbuilding CorporationBeijingChina
  3. 3.Naval Medical Research Institute, Naval Military Medical UniversityShanghaiChina

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