Design of Interactive Devices for Museum Study Tours Based on Kano-AHP-FAST

FAN Meng

doi:10.19554/j.cnki.1001-3563.2026.14.042

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (14) : 484-496. DOI: 10.19554/j.cnki.1001-3563.2026.14.042

Design Discussion

Design of Interactive Devices for Museum Study Tours Based on Kano-AHP-FAST

FAN Meng^*

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Abstract

In response to the "Double Reduction" policy, the work aims to optimize the interactive device for museum study tours and address the prominent issues with traditional devices, such as "overemphasizing display over interaction" and "content disconnecting from curriculum standards", thereby substantially enhancing the quality of study tour experiences for primary and secondary school students. Based on field observations, online behavioral data mining, and in-depth interviews, a preliminary requirement pool was constructed through a multi-source data fusion research paradigm. The KANO model was applied to deconstruct requirement attributes. Subsequently, the Analytic Hierarchy Process (AHP) was employed to quantify weight coefficients for each requirement dimension, forming a judgment matrix. The FAST method enabled systematic mapping of user requirements to product functional modules, establishing a functional architecture tree. Based on these design elements, a conceptual design proposal for intelligent interactive devices meeting K-12 students' museum study tour needs was formulated. The Kano-AHP-FAST integrated model developed in this work provides a systematic solution for educational equipment research and development, supporting the implementation of the "Double Reduction" policy and the development of the "museum-school collaboration" model, advancing quality education reform, and holds significant practical value.

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KANO model / Analytic Hierarchy Process (AHP) / Function Analysis System Technique (FAST) / museum study tours / intelligent interactive product design

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FAN Meng. Design of Interactive Devices for Museum Study Tours Based on Kano-AHP-FAST[J]. Packaging Engineering. 2026, 47(14): 484-496 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.042

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