ArticleHeliyon2024
Evaluating the influence of characteristics on the acceptance of artificial intelligence application: An empirical study.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- AI overuse in education extending the technology acceptance model with Confucian cultural moderation.Frontiers in psychology · 2026Article
Corrections and comments
- Retraction · 2025-11-12Concerns/Issues about Referencing/Attributions · Investigation by Journal/Publisher · Objections by Author(s) · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence has accelerated the application scenarios and business value of map applications. However, the sustained intention of map applications utilizing artificial intelligence technology has not received sufficient attention and scholarly investigation. Therefore, this study constructs a theoretical model of the continuance intention of map applications, based on their characteristics and combined with user satisfaction and trust, aiming to explore the influence mechanism of this continuance intention. The results of structural equation modeling show that not only user trust and satisfaction have a positive effect on continuance intention towards map applications, but also interactivity characteristics, reliability characteristics, richness characteristics, and personalized characteristics have a positive effect on user satisfaction and trust towards map applications. This study reveals the influence mechanism of map application continuance intention, which can effectively guide map application operators to optimize their services and then provide practical insights for users to use map applications consistently.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.