The work aims to accurately analyze the wearing comfort requirements of headphones in sleep scenes. The network content analysis was carried out to screen the online review data of sleep headphones, the ROST software was applied to mine the high-frequency words of the text, the TF-IDF algorithm was employed to extract the feature words, the programmatic grounded theory research method was used to explore the preference factors for the comfort of wearing sleep headphones, and the fuzzy comprehensive evaluation method was adopted to calculate the weights of each index. Finally, a sleep headphone comfort evaluation system composed of 17 indexes in 6 dimensions was constructed, and a case test was conducted. The overall comfort and adaptability of sleep headphones were significantly improved by focusing on improving comfort elements such as touch interaction, multi-scene mode, sleep pressure, and prompt sound. The weight ranking of headphone wearing factors proposed by the evaluation system can assist designers to regulate the wearing needs in sleep scenes, and enhance the sleep aid perception and wearable experience recognition of headphone products.
LIU Jun, ZHANG Yanyan, FEI Bangyu.
Feature Analysis and Optimization Design of the Wearing Characteristics of Sleep Headphones from the Perspective of Consumer Reviews[J]. Packaging Engineering. 2025, 46(14): 113-120 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.012
中图分类号:
TB472
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