ArticleHeliyon2024
Exploring the Chatbot usage intention-A mediating role of Chatbot initial trust.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.
- Why should I use social chatbots? On potential users' acceptance and the role of anthropomorphism.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chatbots, an integral part of Digitalization, are becoming the cornerstone of modern-day marketing practices. This study's main objective is to identify the Chabot traits that have a bearing on users' confidence, acceptability, and engagement. Chatbots hold much potential for customer support in terms of service efficiency, cost savings, and customer experience. In addition to saving business costs, chatbots improve customer engagement, by reducing time and effort they need to spend in doing their business transactions. Aspiring, well-educated, and tech-savvy Gen Z customers perceive chatbots as highly compatible with their preferred method of seeking product-related information. As chatbots play a significant role in the marketing process, this study aims to identify the chatbot traits that influence customers' confidence, acceptance, and engagement with chatbots. Using the PLS-SEM tool/technique we computed a structural equation measurement model to test the traits leading to Chabot trust. The study also found that perceived ease of use, performance expectations, and social influence of chatbots are all greatly enhanced by trust on the part of the customers. Detailed statistical analysis showed that the trust that consumers have in chatbots strongly influences consumers' intentions, loyalty, and engagement levels. While gender had no impact on consumer intentions to use chatbots, the age of the respondents played a substantial role in their plans to use chatbots.
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.