Privacy Attitudes toward Mouse-Tracking Paradata Collection

Author:

Henninger Felix1ORCID,Kieslich Pascal J2ORCID,Fernández-Fontelo Amanda3ORCID,Greven Sonja4ORCID,Kreuter Frauke5ORCID

Affiliation:

1. Graduate Student at the Chair for Statistics and Data Science in Social Sciences and the Humanities, Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München , Munich, Germany; and Research Affiliate, Mannheim Centre for European Social Research, University of Mannheim, Mannheim, Germany

2. Mannheim Centre for European Social Research, University of Mannheim Research Affiliate, , Mannheim, Germany

3. Postdoctoral Researcher, Departament de Matemàtiques, Universitat Autònoma de Barcelona , Barcelona, Spain; and Research Affiliate with Chair of Statistics, School of Business and Economics, Humboldt-Universität zu Berlin, Berlin, Germany

4. School of Business and Economics, Humboldt-Universität zu Berlin Professor at the Chair of Statistics, , Berlin, Germany

5. Chair for Statistics and Data Science in Social Sciences and the Humanities, Ludwig-Maximilians-Universität München Professor at the , Munich, Germany; and Professor, Joint Program in Survey Methodology, University of Maryland, College Park, MD, US

Abstract

Abstract Survey participants’ mouse movements provide a rich, unobtrusive source of paradata, offering insight into the response process beyond the observed answers. However, the use of mouse tracking may require participants’ explicit consent for their movements to be recorded and analyzed. Thus, the question arises of how its presence affects the willingness of participants to take part in a survey at all—if prospective respondents are reluctant to complete a survey if additional measures are recorded, collecting paradata may do more harm than good. Previous research has found that other paradata collection modes reduce the willingness to participate, and that this decrease may be influenced by the specific motivation provided to participants for collecting the data. However, the effects of mouse movement collection on survey consent and participation have not been addressed so far. In a vignette experiment, we show that reported willingness to participate in a survey decreased when mouse tracking was part of the overall consent. However, a larger proportion of the sample indicated willingness to both take part and provide mouse-tracking data when these decisions were combined, compared to an independent opt-in to paradata collection, separated from the decision to complete the study. This suggests that survey practitioners may face a trade-off between maximizing their overall participation rate and maximizing the number of participants who also provide mouse-tracking data. Explaining motivations for paradata collection did not have a positive effect and, in some cases, even reduced participants’ reported willingness to take part in the survey.

Funder

Deutsche Forschungsgemeinschaft

DFG

German Research Foundation

Statistical Modeling Using Mouse Movements to Model Measurement Error and Improve Data Quality in Web Surveys

Publisher

Oxford University Press (OUP)

Subject

History and Philosophy of Science,General Social Sciences,Sociology and Political Science,History,Communication

Reference40 articles.

1. Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study;Altmann;JMIR mHealth and uHealth,2020

2. Informed Consent for Web Paradata Use;Couper;Survey Research Methods,2013

3. To Mix or Not to Mix Data Collection Modes in Surveys;De Leeuw;Journal of Official Statistics,2005

4. Predicting Question Difficulty in Web Surveys: A Machine Learning Approach Based on Mouse Movement Features;Fernández-Fontelo;Social Science Computer Review,2023

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3