ArticleFrontiers in psychology2022
Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Intention to use smartphone medical applications among patients with chronic disease in southwest Ethiopia: an extended UTAUT2 model approach.BMC medical informatics and decision making · 2026Article
- Psychological mechanisms linking AI hallucinations to user trust and behavioral intentions toward AI-generated videos: an S-O-R perspective.Frontiers in psychology · 2026Article
- Exploring the use of double-speed video playback in a fast-paced society through structural equation modeling.Scientific reports · 2025Article
- Factors influencing digital media designers' subscription to premium versions of AI drawing tools through a mixed methods study.Scientific reports · 2025Article
- Ethical dilemmas and the reconstruction of subjectivity in digital mourning in the age of AI: an empirical study on the acceptance intentions of bereaved family members of cancer patients.Frontiers in digital health · 2025Article
- Utilization of, Perceptions on, and Intention to Use AI Chatbots Among Medical Students in China: National Cross-Sectional Study.JMIR medical education · 2024Article
- Acceptance of artificial intelligence in university contexts: A conceptual analysis based on UTAUT2 theory.Heliyon · 2024Review
- Analyzing Preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool.Heliyon · 2024Article
- Exploring the factors affecting elementary mathematics teachers' innovative behavior: an integration of social cognitive theory.Scientific reports · 2024Article
- Understanding older adults' acceptance of Chatbots in healthcare delivery: an extended UTAUT model.Frontiers in public health · 2024Article
- Exploring the recycled water acceptance based on the technological perspective of UTAUT2: a hybrid analytical approach.Frontiers in psychology · 2024Article
- Adoption of Wearable Insulin Biosensors for Diabetes Management: A Cross-Sectional Study.Cureus · 2023Article
- Artificial Intelligence and Patient Autonomy in Obesity Treatment Decisions: An Empirical Study of the Challenges.Cureus · 2023Article
- Factors Affecting the Adoption of Artificial Intelligence-Enabled Virtual Assistants for Leukemia Self-Management.Cureus · 2023Article
- Article
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
Virtual Assistants, also known as conversational artificial intelligence, are transforming the reality around us. These virtual assistants have challenged our daily lives by assisting us in the different dimensions of our lives, such as health, entertainment, home, and education, among others. The main purpose of this study is to develop and empirically test a model to predict factors that affect users' behavioral intentions when they use intelligent virtual assistants. As a theoretical basis for investigating behavioral intention of using virtual assistants from the consumers' perspective, researchers employed the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). For this research paper, seven variables were analyzed: performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, habit, and price/value. In order to improve consumer behavior prediction, three additional factors were included in the study: perceived privacy risk, trust, and personal innovativeness. Researchers carried out an online survey with 304 responses. The obtained sample was analyzed with Structural Equation Modeling (SEM) through IBM SPSS V. 27.0 and AMOS V 27.0. The main study results reveal that factors, such as
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.