Evidence map›Paper›PMID 40267121›Full record

ArticlePloS one2025

User-centric innovation strategies for cultural creative products in China's rural tourism.

Yuzhe Qi, Qing Ni, Jing Zhang, Jiangyue Han, Hongyan Ren

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuzhe QiIndustrial Design Program, Silla University, Busan, Korea.
Qing NiCollege of Art and Design, Henan Finance University, Zhengzhou, China.ORCID 0009-0006-7538-9198
Jing ZhangIndustrial Design Program, Silla University, Busan, Korea.
Jiangyue HanIndustrial Design Program, Silla University, Busan, Korea.
Hongyan RenIndustrial Design Program, Silla University, Busan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cultural creative products play an important role in the revitalization of tourism-oriented rural areas and the preservation of cultural heritage. However, existing products fail to fully meet the diverse needs of consumers and lack a systematic design framework. This study proposes a user-centered framework aimed at guiding the innovation of cultural creative products in China's rural tourism. During the exploration of user needs, grounded theory was used to identify three core user needs: emotional identification, personalization and uniqueness, and enhancement of quality of life. Using the KANO model, these needs were further categorized into basic needs, performance needs, and excitement needs, clarifying their priorities. In the stage of translating user needs into actionable design elements, the Analytic Hierarchy Process (AHP) was employed to assign weights to each need, and Quality Function Deployment (QFD) theory was used to construct the House of Quality, refining 14 user needs into 9 key design elements. The findings indicate a positive correlation between multifunctional design and ergonomic design, that usability and convenience are closely related to human-machine ergonomics, and that the integration of cultural symbols with emotional design and innovative forms significantly enhances the cultural value and user experience of the products. This study provides a systematic theoretical framework and practical guidance for the innovation of rural cultural creative products, with significant implications for future research and practice.

Indexed as

CreativityRural PopulationTourismAdultChinaErgonomicsFemaleHumansInventionsMaleQuality of Life

Identifiers

PMID40267121
PMCPMC12017506

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.