Abstract
At present, image visualization in medical field is mainly realized by observation or image slice. This method relies on doctors’ subjective judgment to a great extent, and lacks accuracy and intuition. This paper evaluates the usability evaluation of intelligent medical imaging diagnostic interface based on the SD method, and analyzes the current intelligent medical imaging diagnostic interface status and user needs. Evaluation of interface by using a 5-point semantic difference (SD) scale. Through experimental analysis, it can be concluded that: (1) among the 7 groups of kansei words, W2 (amateur-professional) has the highest score and the W5 (dark-bright) score is the lowest. (2) among the 8 samples, the S8 score was the highest and the S2 score was the lowest. (3) the operational factor has the greatest impact on the interface experience score.
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References
Rizzi, A., Fogli, D., Barricelli, B.R.: A new approach to perceptual assessment of human-computer interfaces. Multimed. Tools Appl. 76(5), 7381–7399 (2017)
Tharangie, K.G.D.: Kansei colour concepts to improve effective colour selection in designing human computer interfaces. Int. J. Comput. Sci. Issues (IJCSI) 7(3), 21 (2010)
Fu, G., Mei-lin, L.: E-commerce web page design optimization based on Kansei engineering. Chin. J. Ergon. 9(3), 56–60 (2013)
Hadiana, A., Abdurrohman: Analysis of customers’ emotional preferences using Kansei engineering and AHP. IEEE (2018)
Yao, X., Hu, H., Li, J.: Research on bodyside modeling of body based on inductive engineering. J. Packag. Eng. 35(4), 40–41 (2016)
Chao, C.: Feasibility study on perceptual engineering in packaging design. J. Packag. Eng. 37(4), 14–16 (2016)
Fu, X., Li, W., Wu, J.: Research on body design of electric scooter for elderly with inductive engineering. J. Packag. Eng. 36(2), 59–61 (2015)
Stoklasa, J., Talášek, T., Stoklasová, J.: Semantic differential for the twenty-first century: scale relevance and uncertainty entering the semantic space. J. Qual. Quant. 53, 1–14 (2018)
Strunga, A.: Osgood’s semantic differential: a review of the Romanian social sciences literature. Soc. Sci. Educ. Res. Rev. 1(2), 22–28 (2014)
Kang, J., Zhang, M.: Semantic differential analysis of the soundscape in urban open public spaces. Build. Environ. 45(1), 150–157 (2010)
Yang, C., Zhou, W., Lu, D.: Study on the evaluation of space atmosphere in Guzhen street based on semantic difference method—taking Luocheng ancient town in Leshan, Sichuan province as an example. J. New Build. 06, 102–107 (2018)
Bauer, C.F.: Attitude toward chemistry: a semantic differential instrument for assessing curriculum impacts. J. Chem. Educ. 85(10), 1440 (2008)
Acknowledgments
The research financial supports from the Natural Science Youth Foundation of Hubei Province (Project No: 2017CFB276), Hubei Provincial Teaching Research Project (Project No: 2017055), Hubei Provincial Department of Education Humanities and Social Sciences Project (Project No: 18G002), Program of Introduction of Entrepreneurial Talents in Dongguan.
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Wu, L. et al. (2020). Usability Evaluation of Intelligent Medical Imaging Diagnostic Interface Based on SD Method. In: Ahram, T., Falcão, C. (eds) Advances in Usability and User Experience. AHFE 2019. Advances in Intelligent Systems and Computing, vol 972. Springer, Cham. https://doi.org/10.1007/978-3-030-19135-1_34
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DOI: https://doi.org/10.1007/978-3-030-19135-1_34
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