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How Motion Graphics Affect Emotional Quality: In the Context of an In-Vehicle Information System

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Design, User Experience, and Usability. Interaction Design (HCII 2020)

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Abstract

This study examines the relationship between motion graphic properties and emotional factors which are desirable in IVIS user interface. Three emotional factors, energetic, fluid, simple, which are composed of 11 emotional adjectives are used for the rating and three motion properties are manipulated for the experiment: duration, easing type and time interval. 24 participants evaluated twelve stimuli with eleven bi-polar emotional adjectives in the simulated vehicle environment. With MANOVA and multiple regression analysis, the study found that the emotion ‘fluid’ and ‘energetic’ can be evoked through the motion graphic. ‘energetic’ is strongly influenced by the time interval, shorter interval seems more energetic, in our study, 50 ms condition marked highest rating. On the other hand, ‘fluid’ is stimulated by the easing type and duration, easing type of acceleration with motion duration 400 ms was the most fluid in our study. To develop detailed guideline for UI designers and UX practitioners in IVIS domain, further work is needed considering more motion properties and tighten the interval between the level.

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References

  1. Walker, J.: The self-driving car timeline – predictions from the top 11 global automakers, 24 December 2019. https://emerj.com/ai-adoption-timelines/self-driving-car-timeline-themselves-top-11-automakers/

  2. Lynn, M.: Self-driving cars will kill the auto industry, 6 January 2016. https://www.marketwatch.com/story/self-driving-cars-will-kill-the-auto-industry-2016-01-06

  3. Sweet, M.N., Laidlaw, K.: No longer in the driver’s seat: how do affective motivations impact consumer interest in automated vehicles? Transportation 1–34 (2019)

    Google Scholar 

  4. Pettersson, I., Karlsson, I.M.: Setting the stage for autonomous cars: a pilot study of future autonomous driving experiences. IET Intell. Transp. Syst. 9(7), 694–701 (2015)

    Article  Google Scholar 

  5. Jorlöv, S., Bohman, K., Larsson, A.: Seating positions and activities in highly automated cars–a qualitative study of future automated driving scenarios. In: International Research Conference on the Biomechanics of Impact (2017)

    Google Scholar 

  6. Panasonic Homepage. https://panasonic.net/design/works/car-future/. Accessed 23 Feb 2020

  7. Schenkman, B., Jonsson, F.: Aesthetics and preferences of web pages. Behav. Inf. Technol. 19, 367–377 (2000)

    Article  Google Scholar 

  8. Kim, J., Lee, L., Choi, D.: Designing emotionally evocative homepages: an empirical study of the quantitative relations between design factors and emotional dimensions. Int. J. Hum Comput Stud. 59, 899–940 (2003)

    Article  Google Scholar 

  9. van der Heijden, H.: Factors influencing the usage of web sites: the case of a generic portal in the Netherlands. Inf. Manag. 40, 541–549 (2003)

    Article  Google Scholar 

  10. Google Material Design Homepage. https://material.io/design/motion/understanding-motion.html. Accessed 23 Feb 2020

  11. Jordan, P.W.: Designing Pleasurable Products: An Introduction to the New Human Factors. CRC Press, London (2002)

    Google Scholar 

  12. Norman, D.A.: Emotional Design: Why We Love (or Hate) Everyday Things. Basic Books, New York (2004)

    Book  Google Scholar 

  13. Desmet, P.: Measuring emotion: development and application of an instrument to measure emotional responses to products. In: Blythe, M., Monk, A. (eds.) Funology 2. HIS, pp. 391–404. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-68213-6_25

    Chapter  Google Scholar 

  14. Ekman, P., Friesen, W.V.: Unmasking the Face: A Guide to Recognizing Emotions from Facial Cues. Prentice-Hall, Englewood Cliffs (1975)

    Google Scholar 

  15. Ark, W., Dryer, D.C., Lu, D.J.: The emotion mouse. In: Proceedings of HCI International 1999, Munich Germany, August 1999

    Google Scholar 

  16. Picard, R.W.: Towards computer that recognize and respond to user emotion. IBM Syst. J. 39(3/4), 705–719 (2000)

    Article  Google Scholar 

  17. Cacioppo, J.T., Berntson, G.G., Larsen, J.T., Poehlmann, K.M., Ito, T.A.: The psychophysiology of emotion. In: Lewis, M., Haviland-Jones, J.M. (eds.) Handbook of Emotions, 2nd edn, pp. 173–191. The Guilford Press, New York (2001)

    Google Scholar 

  18. Nagamachi, M.: Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int. J. Ind. Ergon. 15, 3–11 (1995)

    Article  Google Scholar 

  19. Jindo, T., Hirasago, K.: Application studies to car interior of Kansei engineering. Int. J. Ind. Ergon. 19(2), 105–114 (1997)

    Article  Google Scholar 

  20. Lee, J.-H., Park, J.-Y., Nam, T.-J.: Emotional interaction through physical movement. In: Jacko, Julie A. (ed.) HCI 2007. LNCS, vol. 4552, pp. 401–410. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73110-8_43

    Chapter  Google Scholar 

  21. Vaughan, L.C.: Understanding movement. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 1997), pp. 548–549. ACM, New York (1997)

    Google Scholar 

  22. Heer, J., Robertson, G.: Animated transitions in statistical data graphics. IEEE Trans. Vis. Comput. Graph. 13(6), 1240–1247 (2007)

    Article  Google Scholar 

  23. Park, D., Lee, J.H., Kim, S.: Investigating the affective quality of interactivity by motion feedback in mobile touchscreen user interfaces. Int. J. Hum Comput Stud. 69(12), 839–853 (2011)

    Article  Google Scholar 

  24. Merz, B., Tuch, A.N., Opwis, K.: Perceived user experience of animated transitions in mobile user interfaces. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 3152–3158, May 2016

    Google Scholar 

  25. Schindler, I., et al.: Measuring aesthetic emotions: a review of the literature and a new assessment tool. PloS One (2017)

    Google Scholar 

  26. Hassenzahl, M., Platz, A., Burmester, M., Lehner, K.: Hedonic and ergonomic quality aspects determine a software’s appeal. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 201–208. ACM, April 2000

    Google Scholar 

  27. Karlsson, B.S., Aronsson, N., Svensson, K.A.: Using semantic environment description as a tool to evaluate car interiors. Ergonomics 46(13–14), 1408–1422 (2003)

    Article  Google Scholar 

  28. Hsiao, K.A., Chen, L.L.: Fundamental dimensions of affective responses to product shapes. Int. J. Ind. Ergon. 36(6), 553–564 (2006)

    Article  Google Scholar 

  29. Wellings, T., Williams, M., Tennant, C.: Understanding customers’ holistic perception of switches in automotive human–machine interfaces. Appl. Ergon. 41(1), 8–17 (2010)

    Article  Google Scholar 

  30. Park, D., Lee, J.H., Kim, S.: Investigating the affective quality of interactivity by motion feedback in mobile touchscreen user interfaces. Int. J. Hum. Comput. Stud. 69(12), 839–853 (2011)

    Article  Google Scholar 

  31. Chang, Y.M., Chen, C.W.: Kansei assessment of the constituent elements and the overall interrelations in car steering wheel design. Int. J. Ind. Ergon. 56, 97–105 (2016)

    Article  Google Scholar 

  32. Google Material Design Homepage. https://material.io/design/motion/speed.html#easing. Accessed 23 Feb 2020

  33. Google Material Design Homepage. https://material.io/design/motion/choreography.html#sequencing. Accessed 23 Feb 2020

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Correspondence to Yong Gu Ji .

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Kim, M.J., Kim, G.Y., Sim, J.M., Ji, Y.G. (2020). How Motion Graphics Affect Emotional Quality: In the Context of an In-Vehicle Information System. In: Marcus, A., Rosenzweig, E. (eds) Design, User Experience, and Usability. Interaction Design. HCII 2020. Lecture Notes in Computer Science(), vol 12200. Springer, Cham. https://doi.org/10.1007/978-3-030-49713-2_34

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  • DOI: https://doi.org/10.1007/978-3-030-49713-2_34

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