IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-02-17 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1371583
Alfonsina D'Iorio, Federica Garramone, Silvia Rossi, Chiara Baiano, Gabriella Santangelo
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引用次数: 0

摘要

背景:技术接受和使用统一理论是一种自我评分问卷,用于评估与机器人接受程度相关的十二个构念,由 41 个项目组成,采用 5 点李克特量表评分。本研究的目的是在意大利健康受试者(HCs)样本中对意大利语版UTAUT(I-UTAUT)的心理测量特性进行初步评估。在121名接受蒙特利尔认知评估(MoCA)的健康人样本中评估了I-UTAUT的可靠性和发散有效性:最终的 I-UTAUT 版本易于理解。没有数据缺失,也没有下限和上限效应。与原始版本不同的是,主成分分析表明,I-UTAUT 具有七成分结构;Cronbach's alpha 为 0.94。I-UTAUT得分与MoCA没有相关性:I-UTAUT是一份可靠有效的问卷,可用于确定意大利健康样本对机器人技术的接受程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Italian version of the unified theory of acceptance and use of technology questionnaire: a pilot validation study.

Background: The Unified Theory of Acceptance and Use of Technology is a self-rated questionnaire to assess twelve constructs related to the level of acceptance of a robot, consisting of 41 items rated on a 5-point Likert scale. The aim of the study was to conduct a preliminary evaluation of the psychometric properties of the Italian version of the UTAUT (I-UTAUT) in a sample of Italian healthy subjects (HCs).

Materials and methods: 30 HCs underwent the I-UTAUT to assess its comprehensibility. Reliability and divergent validity of the I-UTAUT were evaluated in a sample of 121 HCs, who also underwent the Montreal Cognitive Assessment (MoCA).

Results: The final I-UTAUT version was easily comprehensible. There were no missing data, no floor and ceiling effects. Contrarily to the original version, the Principal Components Analysis suggested a seven-component structure; Cronbach's alpha was 0.94. The I-UTAUT score did not correlate with MoCA.

Conclusion: The I-UTAUT represented a reliable and valid questionnaire to identify the level of acceptance of robotics technology in Italian healthy sample.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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