Bevilacqua Roberta, Di Rosa Mirko, Riccardi Giovanni Renato, Pelliccioni Giuseppe, Lattanzio Fabrizia, Felici Elisa, Margaritini Arianna, Amabili Giulio, Maranesi Elvira
Scientific Direction, IRCCS INRCA, Ancona, Italy.
Unit of Geriatric Pharmacoepidemiology, IRCCS INRCA, Ancona, Italy.
Front Neurorobot. 2022 Jul 7;16:883106. doi: 10.3389/fnbot.2022.883106. eCollection 2022.
Nowadays, several robots have been developed to provide not only companionship to older adults, but also to cooperate with them during health and lifestyle activities. Despite the undeniable wealth of socially assistive robots (SARs), there is an increasing need to customize the tools used for measuring their acceptance in real-life applications.
Within the Robot-Era project, a scale was developed to understand the degree of acceptance of the robotic platform. A preliminary test with 21 participants was performed to assess the statistical validity of the Robot-Era Inventory (REI) scales.
Based on the criteria observed in the literature, 41 items were developed and grouped in different scales (perceived robot personality, human-robot interaction, perceived benefit, ease of use, and perceived usefulness). The reliability of the Robot-Era Inventory scale was analyzed with Cronbach's alpha, with a mean value of 0.79 (range = 0.61-0.91). Furthermore, the preliminary validity of this scale has been tested by using the correlation analysis with a gold standard, the Unified Theory of Acceptance and Use of Technology (UTAUT) model.
The Robot-Era Inventory represents a useful tool that can be easily personalized and included in the assessment of any SARs that cooperate with older people in real environment applications.
如今，已开发出多种机器人，它们不仅能陪伴老年人，还能在健康和生活方式活动中与他们合作。尽管社会辅助机器人（SAR）数量众多，但在实际应用中，越来越需要定制用于衡量其接受度的工具。
在“机器人时代”项目中，开发了一个量表以了解对机器人平台的接受程度。对21名参与者进行了初步测试，以评估“机器人时代量表”（REI）的统计有效性。
根据文献中观察到的标准，开发了41个项目，并将其分为不同量表（感知机器人个性、人机交互、感知益处、易用性和感知有用性）。使用克朗巴哈系数分析了“机器人时代量表”的信度，均值为0.79（范围=0.61-0.91）。此外，通过与黄金标准技术接受与使用统一理论（UTAUT）模型进行相关性分析，测试了该量表的初步效度。
“机器人时代量表”是一种有用的工具，可轻松实现个性化，并可纳入对任何在实际环境应用中与老年人合作的社会辅助机器人的评估。
