The FOUND questionnaire: identifying stable traits associated with success in remote operations-an exploratory study.

IF 3.6 4区 医学 Q2 NEUROSCIENCES
Frontiers in Systems Neuroscience Pub Date : 2025-11-06 eCollection Date: 2025-01-01 DOI:10.3389/fnsys.2025.1676412
Valentina Cesari, Enrico Cipriani, Giorgia Papini, Andrea Piarulli, Angelo Gemignani, Danilo Menicucci
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引用次数: 0

Abstract

Introduction: This study introduces the FOUndatioNal trait-BaseD Characterization (FOUND) questionnaire, specifically developed to assess stable characteristics of perceptual, cognitive, and emotional domains associated with effective performance in mediated settings.

Materials and methods: Items were derived from interviews with professionals in remote technology fields (e.g., robotic surgeons, drone pilots, crane operators) and grouped into four domains: cognitive-behavioral, socio-emotional, functional-organic, and value-based. Items, rated on a 4-point Likert scale, were designed to reflect stable traits. A panel of nine experts evaluated content validity; items with a CVI > 0.78 and a mean relevance ≥3 were retained, resulting in a 26-item scale. The factorial structure of FOUND was validated in a sample of 300 Italian participants, with convergent validity assessed, and participants were subsequently categorized into high and low procedural skill professions for known-groups comparisons (Study 1). Additionally, a separate sample of 34 remote operators (Study 2) was included to further evaluate known-groups validity.

Results: Exploratory and confirmatory factor analyses yielded a final 22-item structure, identifying four factors: Perception and Action, Empathic Attitude, Stress Management, and Group-Oriented Values. Convergent validity analysis using questionnaires that assess personality and stable characteristics (Five Facet Mindfulness Questionnaire-15, Big Five Inventory-10) did not yield significant correlations, indicating that the FOUND questionnaire may provide independent information. Known-groups validity was assessed by comparing scores between professions requiring high and low procedural skills identified in the 300 participants, revealing higher scores in Perception and Action, Empathic Attitude, and Stress Management for the first group (Study 1). Comparing remote operators (i.e., drone pilots) with the general population showed that remote operators scored higher in Perception and Action and Group-Oriented Values but lower in Stress Management, highlighting distinctive characteristics of individuals engaged in remote operations (Study 2).

Conclusion: The FOUND assesses perceptual, motor, cognitive, and socio-emotional constructs associated with performance in mediated and remote operations. It allows evaluation of stable traits and performance-related attitudes in contexts such as robotic surgery, telemedicine, education, and emergency response. By identifying these traits, the questionnaire can inform the design of personalized interventions and training programs tailored to individual characteristics, enhancing effectiveness in mediated environments.

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发现问卷:确定与远程操作成功相关的稳定特征——一项探索性研究。
简介:本研究引入了基础特征表征(FOUND)问卷,专门用于评估与中介环境中有效表现相关的知觉、认知和情绪领域的稳定特征。材料和方法:项目来源于对远程技术领域专业人员的访谈(例如,机器人外科医生,无人机飞行员,起重机操作员),并分为四个领域:认知行为,社会情感,功能有机和基于价值。以4分李克特量表打分的项目被设计用来反映稳定的特征。由九名专家组成的小组评估内容效度;保留CVI > 0.78项,平均相关性≥3项,共26项量表。在300名意大利参与者的样本中验证了find的析因结构,并评估了收敛效度,随后将参与者分为高和低程序技能专业进行已知组比较(研究1)。此外,我们还纳入了34名远程操作员的单独样本(研究2),以进一步评估已知组的有效性。结果:探索性和验证性因素分析产生了最终的22项结构,确定了四个因素:感知和行动,共情态度,压力管理和群体导向价值观。使用评估人格和稳定特征的问卷(五面正念问卷-15,大五量表-10)进行收敛效度分析,没有产生显著的相关性,表明发现问卷可能提供独立的信息。通过比较300名参与者中需要高、低程序技能的职业的得分来评估已知组效度,发现第一组在感知和行动、移情态度和压力管理方面得分较高(研究1)。远程操作人员(即无人机驾驶员)与普通人群的比较表明,远程操作人员在感知和行动以及群体导向价值观方面得分较高,但在压力管理方面得分较低,突出了从事远程操作的个体的鲜明特征(研究2)。结论:发现评估知觉、运动、认知和社会情绪结构与中介和远程手术的表现有关。它允许在机器人手术、远程医疗、教育和应急响应等环境中评估稳定的特征和与性能相关的态度。通过识别这些特征,问卷可以为个性化干预和针对个体特征的培训计划的设计提供信息,从而提高在中介环境中的有效性。
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来源期刊
Frontiers in Systems Neuroscience
Frontiers in Systems Neuroscience Neuroscience-Developmental Neuroscience
CiteScore
6.00
自引率
3.30%
发文量
144
审稿时长
14 weeks
期刊介绍: Frontiers in Systems Neuroscience publishes rigorously peer-reviewed research that advances our understanding of whole systems of the brain, including those involved in sensation, movement, learning and memory, attention, reward, decision-making, reasoning, executive functions, and emotions.
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