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Articles

Vol. 51 No. 1 (2024): CAA2024 Across the Horizon. Proceedings of the 51st Conference on Computer Applications and Quantitative Methods in Archaeology

Analysis of Sensory Impression Factor Structures of Jomon Potteries through a Semantic Differential Method Viewing 3D Models on MR equipment

DOI
https://doi.org/10.64888/caaproceedings.v51i1.931
Submitted
December 27, 2025
Published
2026-02-10

Abstract

As Jomon pottery, particularly flame-like pot, is increasingly perceived as a form of artistic expression rather than merely archaeological artefacts by museum visitors, it is of interest to study the sensory impressions associated with it, and to investigate commonalities with the spatial cognitions that modern people have of Jomon pottery. A sensory impression test was conducted using 3D hologram models of pottery on Microsoft HoloLens with 73 participants, who rated 16 sensory adjectives through the Semantic Differential Method and also made free selections of impressive parts of the pottery. Factor analyses and analyses of variance were performed on these adjective groups, and identified main factors were "vigor," "attractiveness," "surface smoothness," and "lightness." The Okinohara and Umataka types consistently showed significantly higher scores on "vigor" (the first factor) and "attractiveness" (the second factor.)  The correspondence of these two typological groups in sensory impressions and spatial cognitions suggests a shared commonality between them.

References

  1. Bruner E, (2023). Cognitive Archaeology, Body Cognition, and the Evolution of Visuospatial Perception. Elsevier Science & Technology, San Diego, UNITED STATES.
  2. Chikayama E, T Nakada, T Miyao, and H Fujita (2025). Prototype of Point cloud-Captioning Model for Jomon Pottery. Proceedings of International Conference of Smart City-Volume 2, Lecture Notes in Electrical Engineering, 84-92, Springer Nature.
  3. Constant A, A Daniel, D Tschantz, B Millidge, F Criado-Boado, L M Martinez, J Müeller and A Clark (2021). The Acquisition of Culturally Patterned Attention Styles Under Active Inference. Frontiers in Neurorobotics, Vol. 15, DOI: 10.3389/fnbot.2021.729665.
  4. Dai K, (1982). Application of the Three-mode Factor Analysis to Industrial Design of Chair Styles. Japanese psychological review, Vol.25, No.1, 91-103.
  5. Fujita H, A Nagumo, K Ichikawa, and YK Hooi (2025). Developments of AI Models from 1995 to 2024. Proceedings of International Conference of Smart City-Volume 2, Lecture Notes in Electrical Engineering, 71-83, Springer Nature.
  6. Ishii T, (2010). "Spatial Recognition and Manufacturing in the Jomon Period." Research Bulletin of Kokugakuin Traditional Culture Research Center, Vol. 2, pp. 59-70.
  7. Kawabata A, and N Nagashima (1986). Evaluation of Sensory Attributes of Wild Rice Using the Semantic Differentival Method. Journal of the Japanese Society of Food Science and Technology, Vol. 33, No. 2, 91-101.Shinano River Basin Kaen Root Cooperation Council (2021). Flame potteries in Shinano River Basin and Culture of Snow Country, a guidebook.
  8. Kobayashi, T. (1996). "The World of the Jomon People." Asahi Sosho. Asahi Newspaper.
  9. Kulveit J, C Stengel and R Leventov (2023). Predictive Minds: LLMs As Atypical Active Inference Agents. https://arxiv.org/abs/2311.10215.
  10. Matsumoto N, (2000) Theory and practice of cognitive archaeology: The process of social and cultural changes from the Jomon to the Yayoi period, Kyushu University Press.
  11. McBrearty S, and AS Brooks (2000). The revolution that wasn’t: a new interpretation of the origin of modern human behavior. Journal of Human Evolution39, 453–563.
  12. Miyao T, H Fujita, M Itagaki, K Ichikawa, A Nagumo, and K Kawano (2023). Voxel programing for 3D-RGB Jomon Potteries' deep learning cluster analyses and evaluation on 3D-data resolutions. 46th Conference Proceedings of Japan Society of Archaeological Informatics, 26 66-71.
  13. Suzuki M, and J Gyoba (2003) Analyzing the factor structure and the sensory-relevance of impressions produced by words and drawings. The Japanese Journal of Psychology, Vol. 73, No. 6, 518-523.
  14. Suzuki N, (2020). HAD statistical package. https://norimune.net/had
  15. Toyoda H, and A Saito (2005). A Positioning Analysis Method for Three-Mode Multi-Group and Four-Mode Data in Semantic Differential Technique. The Japanese journal of educational psychology, 53, 414-426.
  16. Wada Y, D Tsuzuki, T Yamaguchi, A Kimura, H Yamada, K Noguchi, and T Ooyama (2003). "Vision research using SD method -taking research on perceptual attributes and emotional effects as examples-", VISION Vol.15, No.3, 179-188.
  17. Yamaguchi Y, J Wang and K Shiina (2004). The relationship between the psychophysical and semantic features of shapes. Japanese journal of cognitive psychology, Vol. 1, No.1, 45-54.