我就是不信任他们":科技、工程和数学领域个人人口调查问卷中的不信任和不披露原因

IF 1.7 Q2 SOCIOLOGY Societies Pub Date : 2024-06-29 DOI:10.3390/soc14070105
Maria Goldshtein, Erin K. Chiou, Rod D. Roscoe
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引用次数: 0

摘要

人口数据与人们的身份和行为有关。对人口数据的分析可用于描述模式和预测行为,为界面设计甚至机构决策过程提供信息。因此,人口统计数据必须完整、正确,以确保它们能够以反映现实的方式进行分析。本研究包括对 40 名科技、教育和工程人员的访谈,探讨了人口统计学数据收集中关系(不)信任的原因是如何导致普遍存在的回答缺失、不正确和不负责任的回答(如不披露、虚假回答、流失和犹豫是否使用服务)等问题的。随后,研究结果根据信任理论的最新发展,提出了一套初步建议,以培养可信度,并设计出反应灵敏、值得信赖的系统。具体来说,我们探讨了人口调查问卷的设计(如项目结构和说明)如何向用户传达必要的保证和透明度。正在进行的研究为提高人口统计数据收集的质量和完整性提供了基于访谈的建议。这项研究是对其他有关改进人口调查问卷的建议的补充。
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‘I Just Don’t Trust Them’: Reasons for Distrust and Non-Disclosure in Demographic Questionnaires for Individuals in STEM
Demographic data pertain to people’s identities and behaviors. Analyses of demographic data are used to describe patterns and predict behaviors, to inform interface design, and even institutional decision-making processes. Demographic data thus need to be complete and correct to ensure they can be analyzed in ways that reflect reality. This study consists of interviews with 40 people in STEM and addresses how causes of relational (dis)trust in demographic data collection contribute to pervasive problems of missing and incorrect responses and disobliging responses (e.g., non-disclosure, false responses, attrition, and hesitancy to use services). The findings then guide a preliminary set of recommendations for cultivating trustworthiness based on recent developments in trust theory and designing for responsive and trustworthy systems. Specifically, we explore how demographic questionnaire design (e.g., item construction and instructions) can communicate necessary reassurances and transparency for users. The ongoing research provides interview-based recommendations for improving the quality and completeness of demographic data collection. This research adds to other recommendations on improving demographic questionnaires.
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来源期刊
Societies
Societies SOCIOLOGY-
CiteScore
3.10
自引率
9.50%
发文量
150
审稿时长
11 weeks
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