ArticleDigital health
Understanding the influence of perceived intelligence and perceived anthropomorphism on users' intention to adopt healthcare chatbots.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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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.
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Authors and funding
3 authors.
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Abstract
Objectives: Healthcare chatbots have become essential tools for delivering health information and alleviating systemic pressures on medical resources. However, little research exists on how the AI attributes of healthcare chatbots affect users' adoption intentions. Methods: Drawing on the stimulus-organism-response framework and tri-dimensional trusting beliefs theory, this study considers two AI attributes-perceived intelligence and perceived anthropomorphism-as stimuli and explores their effects on users' functional perceptions (perceived usefulness, perceived ease of use, perceived fairness, perceived performance risk) and relational perceptions (competence trust, benevolence trust, integrity trust), and subsequently users' intention to adopt healthcare chatbots. The research model was assessed using partial least squares structural equation modeling, based on survey data from 416 respondents in China. Results: The results demonstrate that both perceived intelligence and perceived anthropomorphism significantly influence users' functional and relational perceptions. Perceived intelligence and perceived anthropomorphism enhance users' intention to adopt healthcare chatbots through perceived usefulness, competence trust, and benevolence trust. Competence trust and benevolence trust mediate the effects of perceived intelligence and perceived anthropomorphism on users' intention to adopt healthcare chatbots, while integrity trust did not significantly affect user adoption intention. Conclusions: The findings enhance the theoretical understanding of healthcare chatbot adoption and provide practical insights for their design and implementation.
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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 Socratic graph.