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Correction

Correction: Wu et al. Critical Factors for Predicting Users’ Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426

1
School of Design, Jiangnan University, Wuxi 214122, China
2
Wuxi Institute of Arts and Technology, Wuxi 214206, China
*
Authors to whom correspondence should be addressed.
Information 2025, 16(11), 923; https://doi.org/10.3390/info16110923
Submission received: 30 September 2025 / Accepted: 8 October 2025 / Published: 22 October 2025

Text Correction

There was an error in the original publication [1]. The author’s name “Mahlke” was incorrectly written in the main text. A correction has been made to Section 2: Literature Review, Section 2.2: User Experience, Paragraph 1:
“The international standard ISO 9241-210 defines user experience as “people’s cognitive impression and response to the products, systems or services they use and expect to use”. Because of the subjectivity of user experience, it is difficult for researchers to observe the whole process objectively, therefore they build factor models to test user experience from different dimensions [32]. For example, Vyas et al. [33] used an interaction-centric approach to propose the APEC model. Mahlke [34] pointed out that in the process of information interaction, both technical factors (e.g., system usefulness and ease of use) and non-technical factors (e.g., hedonic quality and visual attractiveness) will affect the user experience of a website. Nascimento et al. [35] believe that user experience includes three stages of expectation, interaction, and reflection and should consider the user’s cognitive, psychological, emotional, and cultural aspects.”
There was an error in the original publication. The term “human–computer” was incorrectly written in the main text. A correction has been made to Section 6: Conclusions and Suggestions, Section 6.2: Practical Value, Paragraph 4:
“Furthermore, our results may encourage museum web designers to improve the usability and appearance of online interfaces. As an information dissemination system, the ultimate goal of digital museums is to maximize the transmission of information to the public. If digital museums adopt other rich elements, such as multimedia and three-dimensional models, they will better show cultural relics’ form and information. However, it should not be ignored that people will feel tired when they actively operate in a similar information presentation environment for a long time, resulting in a loss of concentration and a decline in perceptual ability. Therefore, multi-dimensional human–computer interaction means (such as virtual reality technology) are significant. This technology will help digital museum users simulate the actual visit process, thus, enhancing the users’ experiences.”

Missing Citation

In the original publication, reference [2] was not cited. The citation has now been inserted in Section 2: Literature Review, Section 2.2: User Experience, Paragraphs 1 and 2, as well as in the caption of Figure 1. This reference was also cited in Section 3: Research Model and Hypotheses, Section 3.2: Interaction Stage: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Perceived Playfulness (PP), Paragraph 1.

Citation Correction

In the original publication, there was an error in reference [1]. The positions of the citations for references [3,4,5,6], as well as references [7,8], were swapped within the main text. The correct citations have now been inserted in Section 4: Data and Methodology, Section 4.2: Sample and Data Collection, Paragraph 1, Appendix A. Measurement Model and Sources, Section 3: Research Model and Hypotheses, Section 3.3: Expectation Stage: Confirmation (CON) and Media Richness (MR), Paragraph 1, and should read as follows:
“The measurement indicators of this study were modified according to relevant published research. All items were measured using a 7-point Likert scale (from 1 = strongly disagree to 7 = strongly agree). The questionnaire items and reference sources are shown in Appendix A. To measure CON, three items from Bhattacherjee [5] were adopted, such as “My experience with using DM was better than what I expected”. The MR measurement scales were drawn from the work of Hung et al. [1] and Huang et al. [49], such as “The DM presents information about objects in different formats”. PP was assessed based on three items from Moon and Kim [41], the measurement scales for PU from Davis [39], and, for PEOU, from Venkatesh [50]. SAT was examined using the instrument developed by Hsu and Chiu [51], such as “I am satisfied with the performance of DM”. Finally, to measure CI, we used four items from Bhattacherjee [5] and Roca et al. [52], such as “I will frequently use the DM to acquire knowledge in the future.””

Appendix A

Table A1. Measurement Model and Sources.
Table A1. Measurement Model and Sources.
ConstructIndicatorDescriptionReferences
Confirmation (CON)CON1My experience with using the digital museum (DM) was better than what I expected.Bhattacherjee [5]
CON2The service level or system quality provided by the DM was better than what I expected.
CON3Overall, most of my expectations from using the DM were confirmed.
Media richness (MR)MR1The DM can provide me instant feedback upon my requests.Hung et al. [1]
Huang et al. [49]
MR2The DM presents information about objects in different formats (e.g., text, picture, video, audio, animation, and 3D virtual environment).
MR3The DM provides accurate information in pictures, texts, and numbers.
Perceived playfulness (PP)PP1When interacting with the DM, I do not realize the time elapsed.Moon and Kim [41]
PP2When interacting with the DM, I am not aware of any noise.
PP3When interacting with the DM, I often forget the work I must do.
Perceived ease of use (PEOU)PEOU1My interaction with the DM is clear and understandable.Venkatesh [50]
PEOU2Interacting with the DM does not require a lot of my mental effort.
PEOU3I find it easy to get the DM to do what I want it to do.
Perceived usefulness (PU)PU1Using the DM improves my academic or research performance.Davis [39]
PU2Using the DM improves the efficiency of my access to resources.
PU3Using the DM can get what I want knowledge or information.
Satisfaction (SAT)SAT1I am satisfied with the performance of the DM.Hsu and Chiu [51]
SAT2I am pleased with the experience of using the DM.
SAT3My decision to use the DM was a wise one.
Continuance Intention (CI)CI1I intend to continue using DMs rather than discontinue their use.Bhattacherjee [5]
Roca et al. [52]
CI2My intentions are to continue using DMs rather than use any alternative means.
CI3I will frequently use DMs to acquire knowledge in the future.
CI4I intend to increase my use of DMs to acquire knowledge in the future.
“Motivation and expectations of visiting the website are essential factors that affect user experience. Bhattacherjee [5] believes that IS users’ continuance decisions are similar to customers’ repurchase decisions. User expectation is a variable that contains expectations of the experience of using museum websites, and it is expressed in the aspects of perceived usefulness, usage characteristics, perceived ease of use, and content quality [44]. Expectation confirmation as personal characteristics is an important influencing factor of user satisfaction, perceived playfulness, and perceived ease of use [40]. Relevant studies have shown that when users’ expectations for entertainment and ease of operation of an online platform are confirmed, perceived playfulness and ease of use can be triggered to a greater extent [45,46], that is to say, if users’ confirmations are closer to their actual experiences using digital museums, their perceptions of playfulness, ease of use, and satisfaction will be improved.”

References Information Update

In the reference section, there were errors in the volume and issue numbers, and in the author order for references [9,10,11,12]. These errors were corrected accordingly to maintain their accuracy. With this correction, the order of some references has been adjusted accordingly. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

References

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  11. Tong, F. Digital Narrative: Research on Museum Design in the Context of New Technology. J. Nanjing Arts Inst. Fine Arts Des. 2020, 165–171. Available online: https://d.wanfangdata.com.cn/periodical/ChVQZXJpb2RpY2FsQ0hJMjAyNTA2MjISGG5qeXN4eXhiLW1zeXNqYjIwMjAwMzAzMhoIcmc2YTNxcG0%253D (accessed on 17 September 2021). (In Chinese).
  12. Peng, J.; Wang, G. The new value of museum APP service based on user needs. View Publ. 2018, 73–75. Available online: https://link.cnki.net/doi/10.16491/j.cnki.cn45-1216/g2.2018.21.021 (accessed on 17 September 2021). (In Chinese).
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MDPI and ACS Style

Wu, Y.; Jiang, Q.; Ni, S.; Liang, H. Correction: Wu et al. Critical Factors for Predicting Users’ Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426. Information 2025, 16, 923. https://doi.org/10.3390/info16110923

AMA Style

Wu Y, Jiang Q, Ni S, Liang H. Correction: Wu et al. Critical Factors for Predicting Users’ Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426. Information. 2025; 16(11):923. https://doi.org/10.3390/info16110923

Chicago/Turabian Style

Wu, Yue, Qianling Jiang, Shiyu Ni, and Hui’e Liang. 2025. "Correction: Wu et al. Critical Factors for Predicting Users’ Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426" Information 16, no. 11: 923. https://doi.org/10.3390/info16110923

APA Style

Wu, Y., Jiang, Q., Ni, S., & Liang, H. (2025). Correction: Wu et al. Critical Factors for Predicting Users’ Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426. Information, 16(11), 923. https://doi.org/10.3390/info16110923

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