SYNTACTIC DESIGN AND GESTALT JUDGMENTS: EMPIRICAL ANALYSIS OF INTUITIVE ACTIVATION AND COGNITIVE PROCESSING

Authors

  • Rusmadiah Anwar Institut Seni Kreatif Nusantara (INSAN), Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan
  • Diana Mohamed Raif Faculty of Art and Design, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan
  • Nor Haliza Johari Faculty of Art and Design, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan
  • Liu Yang Visual Communication Research, Heilongjiang University of Finance and Economics, Harbin, Heilongjiang Province, China

DOI:

https://doi.org/10.24191/jca.v3i1.11176

Keywords:

product gestalt, product perceptual experience, design protocol analysis

Abstract

This study investigates how syntactic design elements intuitively activate Gestalt judgments, clarifying the relationship between visual syntactics and cognitive perception. Despite growing interest in design-cognition interplay, a notable gap exists in understanding specific methods for activating these judgments effectively within syntactic design. This study addresses this by empirically analyzing how specific design elements influence intuitive Gestalt perceptions and their impact on cognitive processing. Utilizing a mixed-methods approach, the research combines qualitative user experience data with quantitative eye-interaction and response time measurements. This dual methodology allows for an in-depth understanding of user perceptions and provides empirical evidence of design effectiveness. A Design Protocol Analysis (DPA) technique, structures the design process into abstract, semi-concrete, and concrete levels, allowing systematic exploration of influencing factors and design element interconnections. Key findings demonstrate that coherent syntactic arrangements significantly enhance designers' abilities to recognize patterns and meanings, leading to faster response times and increased accuracy. Participants exhibited longer fixation times on Gestalt-consistent elements, indicating deeper cognitive engagement. This study not only contributes empirical evidence to cognitive design literature but also provides practical guidelines for integrating Gestalt principles into design practices. Ultimately, this framework enhances user engagement and information retention, fostering better decision-making and comprehension across various design applications.

References

Abidin, S. Z. (2012). Practice-based design thinking for form development and detailing (Doctoral thesis, Norwegian University of Science and Technology).

Abidin, S. Z., Abdullah, M. H., & Yusoff, Z. (2013). Seni reka perindustrian: Daripada idea kepada lakaran. Dewan Bahasa dan Pustaka.

Anwar, R. (2016). Characterizing a syntactic pattern of formgiving in design thinking process (Doctoral thesis, Universiti Teknologi MARA).

Anwar, R., Abidin, S. Z., & Hassan, O. H. (2015). A pattern in formgiving design: Giving priority to a principle solution in an industrial design situation. In M. Gen, K. J. Kim, X. Huang, & H. Hiroshi (Eds.), Industrial engineering, management science and applications 2015 (pp. 331–340). Springer. https://doi.org/10.1007/978-3-662-47200-2_35

Cross, N., Christiaans, H., & Dorst, K. (Eds.). (1996). Analysing design activity: Proceedings of the second Delft workshop on research in design thinking, Delft, September 1994. John Wiley & Sons.

Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). SAGE.

Dehaghin, R. (2023). The applications and effects of Gestalt theory in logotype design. Humanities & Natural Sciences Journal, 4(3), 597–610.

Elwyn, G., Frosch, D. L., Thomson, R., Joseph-Williams, N., Lloyd, A., Kinnersley, P., Cording, E., Tomson, D., Dodd, C., Rollnick, S., Edwards, A., & Barry, M. (2012). Shared decision making: A model for clinical practice. Journal of General Internal Medicine, 27(10), 1361–1367. https://doi.org/10.1007/s11606-012-2077-6

Gamboa, A. J. P., & Egües, M. A. P. (2023). Integrating perspectives: Contributions of Gestalt theory to the understanding of social psychology. AWARI, 4, 1–11.

Goyal, M., & Mahmoud, Q. H. (2024). A systematic review of synthetic data generation techniques using generative AI. Electronics, 13(17), Article 3509. https://doi.org/10.3390/electronics13173509

Guo, R., Kim, N., & Lee, J. (2024). Empirical insights into eye-tracking for design evaluation: Applications in visual communication and new media design. Behavioral Sciences, 14(12), Article 1231. https://doi.org/10.3390/bs14121231

Haghbin, N., Kersten-Oertel, M., Parisay, M., & Poullis, C. (2023). ESPiM: Eye-strain probation model, an eye-tracking analysis measure for digital displays. Frontiers in Human Neuroscience, 17, Article 1184305.

He, Y., Anwar, R., Awang, N. N., & Pan, S. (2024). Heritage and education in Yixing Zisha teapot design: A thematic analysis. Eurasian Journal of Educational Research, 113, 264–276.

Homburg, C., Schwemmle, M., & Kuehnl, C. (2015). New product design: Concept, measurement, and consequences. Journal of Marketing, 79(3), 41–56. https://doi.org/10.1509/jm.14.0199

Jacob, R. J. K., & Karn, K. S. (2003). Commentary on Section 4: Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In J. Hyönä, R. Radach, & H. Deubel (Eds.), The mind’s eye: Cognitive and applied aspects of eye movement research (pp. 573–605). Elsevier.

Kamaruddin, N. H., Nasir, S. M., Hashim, M. E. A. H., Albakry, N. S., & Prameswari, N. S. (2024). Gaze matters: A systematic review of eye tracking applications in visual communication design. Journal of Advanced Research in Applied Sciences and Engineering Technology, 57(4), 88–112. https://doi.org/10.37934/araset.57.4.88112

Kaneda, Y. (2024). Potential of ChatGPT schematics to enhance patient understanding and healthcare decision-making. Cureus, 16(11), e73204. https://doi.org/10.7759/cureus.73204

Krippendorff, K. (1989). Product semantics: A triangulation and four design theories. In S. Vakeva (Ed.), Product semantics ’89 (pp. 9–39). University of Art and Design Helsinki.

Koch, M., Kurzhals, K., Burch, M., & Weiskopf, D. (2023). Visualization psychology for eye tracking evaluation. In Visualization psychology (pp. 243–260). Springer. https://doi.org/10.1007/978-3-031-34738-2_10

Kumar, P. (2024). Large language models (LLMs): Survey, technical frameworks, and future challenges. Artificial Intelligence Review, 57(1), 1–52.

Kumar, A., & Arora, M. (2025). Cognitive linguistics in medicine: How language shapes perception, decision-making, and patient care. International Journal of Linguistics Applied Psychology and Technology, 2(2), 35–43.

Malinauskas, J. (2018). Evolution of Gestalt principles in contemporary graphic design. In Proceedings of the 9th International Symposium on Graphic Engineering and Design (pp. 525–531). University of Novi Sad. https://doi.org/10.24867/GRID-2018-p63

Morris, C. W. (1938). Foundations of the theory of signs. In O. Neurath (Ed.), International encyclopedia of unified science (Vol. 1, No. 2, pp. 1–59). University of Chicago Press.

Nassiri, K., & Akhloufi, M. A. (2024). Recent advances in large language models for healthcare. BioMedInformatics, 4(1), 58–78.

Pan, S., Anwar, R. B., Awang, N. N. B., & He, Y. (2025). Constructing a sustainable evaluation framework for AIGC technology in Yixing Zisha pottery: Balancing heritage preservation and innovation. Sustainability, 17(3), Article 910. https://doi.org/10.3390/su17030910

Raif, D. M., Anwar, R., Noordin, S. N. N., & Rahim, Z. A. (2022). Designer perception and design thinking in industrial ceramic product development. Environment-Behaviour Proceedings Journal, 7(SI9), 159–167.

Schwabe, D., Becker, K., Seyferth, M., Klaß, A., & Schaeffter, T. (2024). The METRIC-framework for assessing data quality for trustworthy AI in medicine: A systematic review. npj Digital Medicine, 7(1), Article 203. https://doi.org/10.1038/s41746-024-01196-4

Siran, Z. (2020). Profiling intuitive design thinking behaviour of new product development activity from multi-discipline designer (Doctoral thesis, Universiti Teknologi MARA).

Tessler, I., Yamin, T., Peeri, H., Alon, E., Zimlichman, E., Glicksberg, B. S., & Klang, E. (2024). Unlocking the potential of large language models in healthcare: Navigating the opportunities and challenges. Nature Medicine, 30(2), 336–347.

Vermol, V. V. (2018). Associating blind user-designer product experience through design activities (Doctoral thesis, Universiti Teknologi MARA).

Wagemans, J., Elder, J. H., Kubovy, M., Palmer, S. E., Peterson, M. A., Singh, M., & von der Heydt, R. (2012). A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization. Psychological Bulletin, 138(6), 1172–1217.

Warell, A. (2001). Design syntactics: A functional approach to visual product form (Doctoral thesis, Chalmers University of Technology).

Warell, A. (2008). Modelling perceptual product experience: Towards a cohesive framework of presentation and representation in design. In Proceedings of the 6th International Conference on Design and Emotion. Hong Kong Polytechnic University.

Yaldız, N., & Bailey, M. (2019). Giving meaning to products via a conceptual design approach. Proceedings of the Design Society, 1, 1343–1352. https://doi.org/10.1017/dsi.2019.157

Downloads

Published

2026-03-31

How to Cite

SYNTACTIC DESIGN AND GESTALT JUDGMENTS: EMPIRICAL ANALYSIS OF INTUITIVE ACTIVATION AND COGNITIVE PROCESSING. (2026). Journal of Creative Arts, 3(1), 112-131. https://doi.org/10.24191/jca.v3i1.11176