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Research on Concealment Design of Battery Case of Electric Bicycle Based on Eye Tracking Experiment

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Published:15 March 2019Publication History

ABSTRACT

Integrated design of battery case and frame of electric bicycles has been a trend of development. After the study of battery cases from electric bicycles and its quantitative evaluation, research on the concealment of the battery case is performed. The research method integrates eye tracking experiment and subjective evaluation to perform quantitative analysis for the nine representative electric bicycles on the market. It is concluded that the battery case is concealed the most when it is installed in the down tube of the bicycle, followed by the position of the rear seat and the seat tube. The method can provide a certain reference for design and analysis approach for the integrated design of electric bicycles.

References

  1. Fishman E, Cherry C, QIN Wei. E-bikes in the Mainstream: Reviewing a Decade of Research {J}.Urban Transport of China, 2016, 14(2).Google ScholarGoogle Scholar
  2. Jones T, Harms L, Heinen E. Motives, perceptions and experiences of electric bicycle owners and implications for health, wellbeing and mobility{J}.Journal of Transport Geography, 2016, 53:41--49.Google ScholarGoogle ScholarCross RefCross Ref
  3. QI Bin, YU Sui-huai, WANG Miao, et al. Study on product form bionic design based on eye tracking experiment {J}. Journal of Machine Design, 2014(6):125--128.Google ScholarGoogle Scholar
  4. HU Wei-feng, ZHANG Kun, ZHANG Zhong-ya. Evaluation on modeling design of fracturing truck based on eye-tracking technology {J}. Journal of Machine Design, 2015(6):109--112.Google ScholarGoogle Scholar
  5. SHI Qing-chun, SUN Jin-hong, WANG Jian. Modeling design and color selection of polishing machine based on eye tracking technology {J}. Journal of Machine Design, 2016(8):105--108.Google ScholarGoogle Scholar
  6. TANG Bang-bei, GUO Gang, WANG Kai, et al. User experience evaluation and selection of automobile industry design with eye movement and electroencephalogram {J}.Computer Integrated Manufacturing Systems,2015,21(6).Google ScholarGoogle Scholar
  7. Khalighy S, Green G, Scheepers C, et al. Quantifying the qualities of aesthetics in product design using eye-tracking technology{J}.International Journal of Industrial Ergonomics,2015,49:31--43.Google ScholarGoogle Scholar
  8. LIU Chao.The Evaluation Method of The Machinery Cab Interior Based on The Eye-movement Research {D}.Shandong University,2010.Google ScholarGoogle Scholar
  9. LU Zhao-lin, ZHANG Yue, CHENG Bo, et al. A Study on the Cognitive Mechanism of Car Styling Based on Style Feature{J}.Automotive Engineering,2016, 38(3):280--287.Google ScholarGoogle Scholar
  10. Duchowski A T, Springer. Eye tracking methodology: theory and practice{J}. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Research on Concealment Design of Battery Case of Electric Bicycle Based on Eye Tracking Experiment

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    • Published in

      cover image ACM Other conferences
      ICNSER2019: Proceedings of the International Conference on Industrial Control Network and System Engineering Research
      March 2019
      116 pages
      ISBN:9781450366274
      DOI:10.1145/3333581

      Copyright © 2019 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 March 2019

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      ICNSER2019 Paper Acceptance Rate20of38submissions,53%Overall Acceptance Rate40of76submissions,53%
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