Sustainable Strategies for Digital Communication of Cliff Inscriptions Based on the Experience Economy and AHP: A Case Study of the Shimen Thirteen Inscriptions
Year: 2025
Type: article
Abstract: The inherent spatial inaccessibility of cliff inscriptions and the dilemma between preservation and public access have made digital dissemination essential for their legacy. Using the digital design of the “Shimen Thirteen Inscriptions” in Hanzhong as a case study, this research integrates the four-dimensional experience economy model with the Analytic Hierarchy Process (AHP) to construct a mixed evaluation framework combining expert rational weighting and user perceptual scoring. Weightings were determined by seven experts, and user experience data was collected from 198 questionnaires. The priority for platform optimization was then identified via a “weight × gap” matrix. The results show the following: (1) In digital settings, the experience structure is significantly reordered, with interactivity (44.4%) and immersion (29.8%) taking the lead. (2) Overall platform satisfaction was good (4.05 out of 5.00), but diversity of operations and depth of knowledge emerged as the main shortcomings. (3) A staged optimization scheme of “progressive interaction + hierarchical knowledge delivery” is proposed, which can enhance sustainable dissemination effectiveness without increasing technological barriers. This study proposes a sustainability-oriented strategy prototype for the digital communication of cliff inscriptions, develops second-level constructs for design and measurement support, and employs AHP-based expert weighting to prioritize strategy elements and derive design pathways. The platform functions as a research prototype for academic inquiry and methodological demonstration, without involvement in operational KPI loops or full system deployment. The contribution lies in offering a replicable user experience evaluation grid and a closed-loop optimization process, rather than advancing 3D/AR/VR techniques per se.
Source: Applied Sciences
DOI: 10.3390/app152111510
Authors: Hua Wei, Xinyu Jing, Dingbang Luh, Haixia Yan
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4415620134