A Study on the Adaptive Design of Intelligent Aromatherapy Massage Products Based on Dynamic User State Perception

作者

  • Hongling Jiang Guangzhou Huashang College
  • Xingyao Ye Guangzhou Huashang College
  • Gao Hongyi Tianjin Tianshi College

关键词:

Dynamic user state perception; Adaptive design; Smart aromatherapy

摘要

As the pace of modern life continues to accelerate, the physical and mental stress faced by urban populations has become increasingly prominent, leading to a significant growth in market demand for aromatherapy and massage health products. However, existing products of this type generally suffer from design flaws such as rigid functional modes and an inability to respond to changes in users’ dynamic states, making it difficult to truly meet users' personalized and context-specific needs. This paper adopts a research perspective centered on dynamic user state perception, primarily employing qualitative research methods. By integrating in-depth interviews, situational observation, and user journey analysis, it examines the usage behaviors, emotional needs, and patterns of state changes among the target user group. The study found that users’ emotional desire to be perceived and understood represents the most prominent gap in current product design, while the temporal regularity of usage scenarios and individual state variability serve as the two driving dimensions for adaptive design. Based on these findings, this study proposes a three-layer adaptive design framework—“Perception—Decision—Output”—and completes a product design implementation. By constructing a closed-loop system comprising perception, response, and learning layers, the product can effectively respond dynamically to users’ real-time states, demonstrating significant design value in both functional adaptability and emotional care experiences.

参考

[1] Weiser, M. (1991). The Computer for the 21st Century. Scientific American, 265(3), 94-105.

[2] World Health Organization. (2022). World mental health report: Transforming mental health for all. World Health Organization.

[3] Riva, G., Baños, R. M., Botella, C., Wiederhold, B. K., & Gaggioli, A. (2012). Positive technology: using interactive technologies to promote positive functioning. Cyberpsychology, Behavior, and Social Networking, 15(2), 69-77.

[4] iiMedia Research. (2023). 2023 China health and wellness consumer goods market research report. iiMedia Research.

[5] Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5(1), 4-7.

[6] Wiener, N. (1948). Cybernetics: Or control and communication in the animal and the machine. MIT Press.

[7] Norman, D. (2007). Emotional design: Why we love (or hate) everyday things. Basic Books.

[8] Hassenzahl, M., & Tractinsky, N. (2006). User experience-a research agenda. Behaviour & Information Technology, 25(2), 91-97.

[9] Picard, R. W. (1997). Affective computing. MIT Press.

[10] Calvo, R. A., & D'Mello, S. (2010). Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing, 1(1), 18-37.

[11] Koulivand, P. H., Khaleghi Ghadiri, M., & Gorji, A. (2013). Lavender and the nervous system. Evidence-Based Complementary and Alternative Medicine, 2013(1), 681304.

[12] Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 290215.

[13] Healey, J. A., & Picard, R. W. (2005). Detecting stress during real-world driving tasks using physiological sensors. IEEE Transactions on Intelligent Transportation Systems, 6(2), 156-166.

[14] Lewis, S. (2015). Qualitative inquiry and research design: Choosing among five approaches. Health Promotion Practice, 16(4), 473-475.

[15] Stickdorn, M., & Schneider, J. (2011). This is service design thinking: Basics, tools, cases. BIS Publishers.

[16] Kim, J., & André, E. (2008). Emotion recognition based on physiological changes in music listening. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(12), 2067-2083.

[17] Diego, M. A., Jones, N. A., Field, T., Hernandez-Reif, M., Schanberg, S., Kuhn, C., & Galamaga, M. (1998). Aromatherapy positively affects mood, EEG patterns of alertness and math computations. International Journal of Neuroscience, 96(3-4), 217-224.

[18] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

##submission.downloads##

已出版

2026-05-24

##plugins.generic.recommendBySimilarity.heading##

##plugins.generic.recommendBySimilarity.advancedSearchIntro##