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A Study of Sketch Drawing Process Comparation with Different Painting Experience via Eye Movements Analysis

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Green, Pervasive, and Cloud Computing (GPC 2023)

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Abstract

When in a situation where there is a language barrier, facilitate the exchange through sketching is an efficient solution if a person wishes to keep the conversation going. However, not everyone has sketch basis, the method of using sketch to facilitate the exchange requires not only the foundation of sketch, but also the ability to sketch in a short period of time. Therefore, according to design and apply a set of experiments, we focus on analyzing the eye movement data of the subjects in the sketch of imaginary object shapes and compare the differences in the sketch between the experienced painters and the novice. Specifically, we invited 16 subjects to participate in sketching (e.g., a watch) on the canvas, and their eye movement data was collected by a glasses eye tracker while sketching. The results of analysis by Mann-Whitney U test showed that the novice's gaze was skewed to the left and down as a whole, the gaze was scattered, and the fixation on the central position of the picture was not focused and sustained. In addition, experienced painters put the sketch content in the center of the picture to attract the attention of the viewer and effectively convey the important information of the picture. The research results combine technology with art, which can help novice to quickly improve the efficiency and quality of sketch and carry out a wider range of art research and application.

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References

  1. Liang, W., Zhou, X., Huang, S., Hu, C., Xu, X., Jin, Q.: Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data. Future Gener. Comput. Syst. 87, 591–600 (2018)

    Google Scholar 

  2. Suwa, M., Tversky, B.: What do architects and students perceive in their design sketches? a protocol analysis. Des. Stud. 18(4), 385–403 (1997)

    Google Scholar 

  3. Kendon, A.: Gesture: Visible Action as Utterance. Cambridge University Press, pp. 123–125 (2004)

    Google Scholar 

  4. Kelly, A.E., Lesh, R.A., Baek, J.Y. (eds.): Handbook of Design Research Methods in Education: Innovations in Science, Technology, Engineering, and Mathematics Learning and Teaching, pp. 203–215 (2008)

    Google Scholar 

  5. Kaminskiene, L., Horlenko, K., Chu, L.Y.: Applying eye-tracking technology in the field of entrepreneurship education. In: Artificiality and Sustainability in Entrepreneurship, pp. 163–187 (2022)

    Google Scholar 

  6. Wu, B., Wu, Y., Nishimura, S., Jin, Q.: Analysis on the subdivision of skilled mowing movements on slopes. Sensors 22(4), 1372 (2022)

    Google Scholar 

  7. Wu, B., Wu, Y., Dong, R., et al.: Behavioral analysis of mowing workers based on hilbert–huang transform: an auxiliary movement analysis of manual mowing on the slopes of terraced rice fields. Agriculture 13(2), 489 (2023)

    Google Scholar 

  8. Zhou, X., Jin, Q.: A heuristic approach to discovering user correlations from organized social stream data. Multimed. Tools Appl. 76(9), 11487–11507 (2017)

    Google Scholar 

  9. Tseng, P.-H., Carmi, R., Cameron, I.G.M., Munoz, D.P., Itti, L.: Quantifying center bias of observers in free viewing of dynamic natural scenes. J. Vision 9(7), 4, 1–16 (2009)

    Google Scholar 

  10. Fagioli, S., Sibilla, F., Lupetti, M.L.: Visual attention during mental imagery differs according to drawing expertise: an eye-tracking study. Perception 48(3), 303–318 (2019)

    Google Scholar 

  11. Vogt, S., Magnussen, S.: Expertise in pictorial perception: eye-movement patterns and visual memory in artists and laymen. Advance online publication, Perception (2007)

    Google Scholar 

  12. Chua, H.F., Boland, J.E., Nisbett, R.E.: Cultural variation in eye movements during scene perception. Proc. Natl. Acad. Sci. 102(35), 12629–12633 (2005)

    Google Scholar 

  13. Pelphrey, K.A., Singerman, J.D., Allison, T., McCarthy, G.: Brain activation evoked by perception of gaze shifts: the influence of context. Neuropsychologia 41(2), 156–170 (2003)

    Google Scholar 

  14. Wu, Y., Lin, C.: Sketching as a communication tool: a case study on collaborative design. Int. J. Des. 11(1), 111–124 (2017)

    Google Scholar 

  15. Alford, C.: Drawing: the universal language of children. New Zealand J. Teachers’ Work 12(1), 45–62 (2015)

    Google Scholar 

  16. Jang, A., MacLean, D.L., Heer, J.: BodyDiagrams: improving communication of pain symptoms through drawing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘14). Association for Computing Machinery, pp. 1153–1162 (2014)

    Google Scholar 

  17. Zhou, X., Li, S., Li, Z., Li, W.: Information diffusion across cyber-physical-social systems in smart city: a survey. Neurocomputing 444, 203–213 (2021)

    Google Scholar 

  18. Wu, B., Zhu, Y., Yu, K., Nishimura, S., Jin, Q.: The Effect of Eye Movements and Culture on Product Color Selection. Human-centric Computing and Information Sciences, 2020, vol. 10, no. 48 (2020)

    Google Scholar 

  19. Wu, B., Tosa, K., Sato, K.: A Walk-through type authentication system design via gaze detection and color recognition. In: IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress, pp. 1–5 (2022)

    Google Scholar 

  20. Miklošíková, M., Malčík, M.: The use of eye tracking for the analysis of students’ learning process when working with a concept map. In: International Conference on Emerging eLearning Technologies and Applications (ICETA), pp. 227–232 (2016)

    Google Scholar 

  21. Wu, B., Nishimura, S., Zhu, Y., Jin, Q.: Experiment design and analysis of cross-cultural variation in color preferences using eye-tracking. In: Proc. MUE2019 (The 13th International Conference on Multimedia and Ubiquitous Engineering) (2019)

    Google Scholar 

  22. Arnheim, R.: Art and Visual Perception: A Psychology of the Creative Eye. University of California Press, pp. 372–391 (1954)

    Google Scholar 

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Acknowledgments

Appreciations for all the workers who participated in the experiments. This work was supported by JSPS KAKENHI Grant Number 21K11876.

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Correspondence to Bo Wu .

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Wang, J., Sato, K., Wu, B. (2024). A Study of Sketch Drawing Process Comparation with Different Painting Experience via Eye Movements Analysis. In: Jin, H., Yu, Z., Yu, C., Zhou, X., Lu, Z., Song, X. (eds) Green, Pervasive, and Cloud Computing. GPC 2023. Lecture Notes in Computer Science, vol 14503. Springer, Singapore. https://doi.org/10.1007/978-981-99-9893-7_4

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  • DOI: https://doi.org/10.1007/978-981-99-9893-7_4

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  • Print ISBN: 978-981-99-9892-0

  • Online ISBN: 978-981-99-9893-7

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