Application of Smart Wearable Device Interaction Design Based on User Experience Map

Authors

DOI:

https://doi.org/10.71451/ISTAER2573

Keywords:

User experience map; Smart wearable devices; Interaction design; User research; Touchpoint optimization

Abstract

This paper addresses the interaction design challenges faced by smart wearable devices in limited screen space and diverse usage scenarios, proposing and systematically demonstrating an interaction design method based on user experience maps. By constructing a closed-loop design framework of "user research - journey description - pain point analysis - solution generation - prototype verification," the user experience map is elevated from an analysis tool to a core navigator throughout the entire design process, effectively solving the problems of experience breakpoints and scenario disconnects in traditional design methods. In a case study of a smartwatch's sports and health monitoring function, this framework successfully guided the design process from identifying pain points such as inconvenient data viewing and cumbersome operation to implementing specific solutions such as interface simplification, gesture optimization, and voice feedback. Empirical data shows that after optimization, task operation time was reduced by 45%, the completion rate reached 100%, and the system usability scale improved to an excellent level. This research innovatively establishes a systematic experience design method applicable to smart wearable devices, not only providing an operable process guide for design practice but also laying a theoretical foundation for exploring the integration of user experience maps with new technologies such as artificial intelligence and promoting the development of adaptive interaction.

 

References

[1] Zhang, Q., & Liu, Y. (2022). Smart user experience medical app interface design based on mobile devices. Expert Systems, 39(5), e12808. DOI: https://doi.org/10.1111/exsy.12808 DOI: https://doi.org/10.1111/exsy.12808

[2] Chen, G. (2024). Design and Application of Scenario-Based Perception of Smart Wearable Device Interaction Method. International Journal of Interactive Mobile Technologies, 18(13). DOI: https://doi.org/10.3991/ijim.v18i13.49071 DOI: https://doi.org/10.3991/ijim.v18i13.49071

[3] Hu, L., Chen, Y., Cao, E., & Hu, W. (2025). User experience & usability of wearable health device: A bibliometric analysis of 2014–2023. International Journal of Human–Computer Interaction, 41(8), 5100-5119. DOI: https://doi.org/10.1080/10447318.2024.2357905 DOI: https://doi.org/10.1080/10447318.2024.2357905

[4] Ren, X. (2024, December). User Experience Design of Wearable Devices using Fuzzy Logic. In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 1284-1288). IEEE. DOI: https://doi.org/10.1109/CICN63059.2024.10847376 DOI: https://doi.org/10.1109/CICN63059.2024.10847376

[5] Li, Z. (2024, December). User-Centered Design and Implementation of an Intelligent Wearable Device for Real-Time Health Monitoring in IoT Ecosystems. In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC) (pp. 1290-1293). IEEE. DOI: https://doi.org/10.1109/EIECC64539.2024.10929262 DOI: https://doi.org/10.1109/EIECC64539.2024.10929262

[6] Baskan, A., & Goncu-Berk, G. (2022). User experience of wearable technologies: a comparative analysis of textile-based and accessory-based wearable products. Applied Sciences, 12(21), 11154. DOI: https://doi.org/10.3390/app122111154 DOI: https://doi.org/10.3390/app122111154

[7] Khan, A., & Khusro, S. (2022). A mechanism for blind-friendly user interface adaptation of mobile apps: A case study for improving the user experience of the blind people. Journal of Ambient Intelligence and Humanized Computing, 13(5), 2841-2871. DOI: https://doi.org/10.1007/s12652-021-03393-5 DOI: https://doi.org/10.1007/s12652-021-03393-5

[8] Yin, R., Wang, D., Zhao, S., Lou, Z., & Shen, G. (2021). Wearable sensors‐enabled human–machine interaction systems: from design to application. Advanced Functional Materials, 31(11), 2008936. DOI: https://doi.org/10.1002/adfm.202008936 DOI: https://doi.org/10.1002/adfm.202008936

[9] Srivastava, R., Alsamhi, S. H., Murray, N., & Devine, D. (2022). Shape memory alloy-based wearables: a review, and conceptual frameworks on HCI and HRI in industry 4.0. Sensors, 22(18), 6802. DOI: https://doi.org/10.3390/s22186802 DOI: https://doi.org/10.3390/s22186802

[10] Liu, W., Lee, K. P., Gray, C. M., Toombs, A. L., Chen, K. H., & Leifer, L. (2021). Transdisciplinary teaching and learning in UX design: a program review and AR case studies. Applied Sciences, 11(22), 10648. DOI: https://doi.org/10.3390/app112210648 DOI: https://doi.org/10.3390/app112210648

[11] Prati, E., Villani, V., Grandi, F., Peruzzini, M., & Sabattini, L. (2021). Use of interaction design methodologies for human–robot collaboration in industrial scenarios. IEEE Transactions on Automation Science and Engineering, 19(4), 3126-3138. DOI: https://doi.org/10.1109/TASE.2021.3107583 DOI: https://doi.org/10.1109/TASE.2021.3107583

[12] Rui, Z., & Gu, Z. (2021). A review of EEG and fMRI measuring aesthetic processing in visual user experience research. Computational Intelligence and Neuroscience, 2021(1), 2070209. DOI: https://doi.org/10.1155/2021/2070209 DOI: https://doi.org/10.1155/2021/2070209

[13] Šumak, B., Brdnik, S., & Pušnik, M. (2021). Sensors and artificial intelligence methods and algorithms for human–computer intelligent interaction: A systematic mapping study. Sensors, 22(1), 20. DOI: https://doi.org/10.3390/s22010020 DOI: https://doi.org/10.3390/s22010020

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Published

2025-11-28

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Research Article

How to Cite

Application of Smart Wearable Device Interaction Design Based on User Experience Map. (2025). International Scientific Technical and Economic Research , 147-155. https://doi.org/10.71451/ISTAER2573

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