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The Human Factor Assessment of Consumer Air Purifier Panel Using Eye Tracking Device

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Intelligent Human Computer Interaction (IHCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12616))

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Abstract

Among the various types of air purifiers available in the market, some products are more complex and difficult to use than others. This study aims to suggest a method to derive products, which are convenient to use, through the evaluation of an air purifier control panel using eye-tracking. An experiment was conducted with 28 housewives, in which various tasks using an air purifier were presented to them. The usage errors were measured and the tasks with low success rates were analyzed. As a result, the preferred icon and button names could be identified in Steps 5 and 6, where the success rates were low. Therefore, the convenience of using the control panel was accurately evaluated. Based on the obtained results, the study proposes the use of eye tracking as an evaluation method to derive qualitative data to increase the usability of control panels on home appliances such as air purifiers.

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References

  1. Kim, J.B., Kim, J.H., Kim, K.H., Bae, G.N., Yoo, J.W.: Performance evaluation of air purifier by indoor air condition in the residential apartment. J. Odor Indoor Environ. 18(2), 91–101 (2019)

    Article  Google Scholar 

  2. KTB Investment & Securities: Companies favorable particulate matters. Issue & Pitch (2019)

    Google Scholar 

  3. Ha, Y., Choi, G.W., Kim, H.S., Ahn, J.H.: A study on developing user-centered interface of consumer electronics based on log analysis. J. HCI Soc. Korea 179–184 (2007)

    Google Scholar 

  4. Suh, J.H., Park, J.Y., Kim, J.O.: A comparative analysis of visual preference and cognitive processing characteristics using an eye-tracking method - with a focus on the 50 sites for rural development project. J. Digit. Des. 15(3), 335–343 (2015)

    Google Scholar 

  5. Maughan, L., Gutnikov, S., Stevens, R.: Like more, look more. Look more, like more: the evidence from eye-tracking. J. Brand Manage. 14(4), 335–342 (2007)

    Google Scholar 

  6. Kim, G.H., Boo, S.H., Kim, J.H.: Effects of depth perception cues in visual attention to advertising using eye tracker. Korean J. Advert. Pub. Relations 9(2), 277–310 (2007)

    Google Scholar 

  7. Seo, E.S.: mobile eye tracker and for use of the same for revitalizing studies on eye tracking. Int. J. Contents 16(12), 10–18 (2016)

    Google Scholar 

  8. Jang, H.H.: A study on interface design model from the eye-tracing of visual consciousness- focus on interface of navigation device. J. Digit. Des. 11(3), 333–343 (2011)

    Google Scholar 

  9. Kim, J.Y., Kim, D.J., Kim, H., Lee, J.C., Lee, Y.J.: Design of filter-less air purifier by using UI/UX metrics. Ergon. Soc. Korea 192–196 (2017)

    Google Scholar 

  10. Kim, J.S.: Emotion evaluation analysis on the design of air purifier for home. J. Korea Des. Forum 52, 157–168 (2016)

    Google Scholar 

  11. Lee, J.W.: A study on the development of customizing the modularized air cleaner of user. Master thesis. Graduate school of Hanyang University (2008)

    Google Scholar 

  12. Min, K.H., Chung, D.S.: Suggestion of qualitative method on the design evaluation method -with the cases of air cleaner and softener-. Korean Soc. Basic Des. Art 13(1), 143–152 (2012)

    Google Scholar 

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Acknowledgments

This research is supported by “The Foundation Assist Project of Future Advanced User Convenience Service” through the Ministry of Trade, Industry and Energy (MOTIE) (R0004840, 2020) and Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2017R1D1A1B04031182).

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Correspondence to Jong-Ha Lee .

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Kim, SG., Lee, JH. (2021). The Human Factor Assessment of Consumer Air Purifier Panel Using Eye Tracking Device. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12616. Springer, Cham. https://doi.org/10.1007/978-3-030-68452-5_38

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  • DOI: https://doi.org/10.1007/978-3-030-68452-5_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68451-8

  • Online ISBN: 978-3-030-68452-5

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