Colledani Daiana, Anselmi Pasquale, Robusto Egidio
Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Via Venezia 14, 35131 Padua, Italy.
AI Soc. 2023 Mar 22:1-13. doi: 10.1007/s00146-023-01646-9.
The present work aims at developing a scale for the assessment of a construct that we called "physical-digital integration", which refers to the tendency of some individuals not to perceive a clear differentiation between feelings and perceptions that pertain to the physical or digital environment. The construct is articulated in four facets: identity, social relationships, time-space perception, and sensory perception. Data from a sample of 369 participants were collected to evaluate factor structure (unidimensional model, bifactor model, correlated four-factor model), internal consistency (Cronbach's , McDonald's ), and correlations of the physical-digital integration scale with other measures. Results showed that the scale is valid and internally consistent, and that both the total score and the scores at its four subscales are worthy of consideration. The physical-digital integration scores were found to be differently associated with digital and non-digital behaviors, individuals' ability to read emotions in the facial expressions of others, and indicators of psychosocial functioning (anxiety, depression, and satisfaction with social relationships). The paper proposes a new measure whose scores are associated with several variables that may have relevant consequences at both individual and social levels.
本研究旨在开发一种量表，用于评估一种我们称之为“身心-数字整合”的结构，该结构指的是一些个体在涉及物理或数字环境的感觉和认知之间，不存在明显区分的倾向。该结构分为四个方面：身份认同、社会关系、时空感知和感官感知。我们收集了369名参与者的样本数据，以评估因子结构（单维模型、双因子模型、相关四因子模型）、内部一致性（克朗巴哈系数、麦克唐纳系数），以及身心-数字整合量表与其他测量方法之间的相关性。结果表明，该量表是有效的且具有内部一致性，其总分及四个子量表的得分均值得考虑。研究发现，身心-数字整合得分与数字和非数字行为、个体解读他人面部表情中情绪的能力，以及心理社会功能指标（焦虑、抑郁和社会关系满意度）存在不同程度的关联。本文提出了一种新的测量方法，其得分与多个变量相关，这些变量可能在个体和社会层面都产生相关影响。
