Abstract
It is often found that designers are more sensitive to subtle differences in shape and forms. it seems easier for them to find these subtle differences than ordinary people. Can some of the designer’s professional training enhance people’s visual sensing capability? Based on this hypothesis, this study attempts to measure visual difference thresholds of two groups of design majors and non design majors. In the study, two groups of subjects were randomly selected among the 18–25 year old college students. A group of 20 students who had received design training for at least half a year (Design-group for short, DG). The other group of 25 students who did not have any design training (Non-design group for short, NDG). Then, based on the method of constant stimuli, a cell phone icon was chosen as standard stimulus whose size varied according to the percentage change. The subjects would compare and judge the change of the icon’s size and the visual difference thresholds of the two groups were aquired. Finally, we conducted a questionnaire survey on all the subjects to investigate the types of visual training that they had received to figure out the possible factors which might enhance the designers’ visual sensing capability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guo, X.Y., Yang, Z.L.: Experimental Psychology. People’s Education Press, Beijing (2004). (in Chinese)
Zhang, S.: Basic Psychology, pp. 248–257. Educational Science Press, Beijing (2001). (in Chinese)
Kantowitz, B.H., Roediger, H.L., Elmes, D.G.: Experimental Psychology, pp. 208–211. West Publishing Company, St. Paul (1997)
Hu, Z.-J.: The method of constant stimuli. J. Mu Dan Jiang Normal Coll. (Philos. Soc. Sci. Ed.) (3), 79–80 (1995). (in Chinese)
Richard, J.G., Philip, G.Z.: Psychology and Life. Allyn and Bacon, A Pearson Education Company, Boston (2002)
Huang, X.: A research on human perception of the area of the BasicGeometry. Institute of Industrial Design, Yunlin National University of Science and Technology, Taiwan (2004). (in Chinese)
Yang, G., Yu, S., Chu, J.: Practical significance and accomplishment method for innovative design of scaled-down Ming and Qing Dynasty furniture with Tenon and Mortise structure. J. Northwest For. Univ. 24(1), 170–172 (2008). (in Chinese)
Wu, J., Yu, S., Yang, G., Zhang, X.: Difference threshold of proportion of a human being on configuration. Mech. Sci. Technol. Aerosp. Eng. 30(5), 767–769 (2011). (in Chinese)
Wang, Z.-Q.: Traditional psychophysics method and signal detection theory. J. Liaoning Teach. Coll. (Soc. Sci. Ed.) 29(5), 73–75 (2003)
Acknowledgements
This research is supported by the National Key R & D program “R & D of Multifunction Cane and Beet Harvest Technology and Equipment” (2016YFD0701200), Sub-project “Research on Key Technologies of Efficient Harvesting and Intelligent control for Cane and Beet Efficient Harvesting Equipments” (2016YFD0701201) and “The research and development of the intelligent fining production management technology and equipment for livestock and poultry breeding” (2017YFD0701605-2).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Liu, S., Li, R., Dai, J. (2019). Research on Visual Sensing Capability Difference Between Designers and Non-designers Based on Difference Threshold Measurement. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-94866-9_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94865-2
Online ISBN: 978-3-319-94866-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)