Investigating Responsible Nudge Design for Informed Decision-Making Enabling Transparent and Reflective Decision-Making

David Leimstädtner, Peter Sörries, C. Müller-Birn
{"title":"Investigating Responsible Nudge Design for Informed Decision-Making Enabling Transparent and Reflective Decision-Making","authors":"David Leimstädtner, Peter Sörries, C. Müller-Birn","doi":"10.1145/3603555.3603567","DOIUrl":null,"url":null,"abstract":"Consent interfaces are habitually designed to coerce people into sharing the maximum amount of data, rather than making decisions that align with their intentions and privacy attitudes, by leveraging cognitive biases to nudge users toward certain decision outcomes through interface design. Reflection and transparency have been proposed as two design dimensions of a choice architecture constituting a responsible nudge approach capable of counteracting these mechanisms by prompting reflected choice. In a crowdsourced experiment, we evaluate these capabilities of a proposed data-disclosure consent interface design deploying the responsible nudge approach within a realistic setting by exploiting a status quo bias during the sign-up of an online survey platform as a secondary task within a crowdsourcing context. Our results provide insights into a responsible design of consent interfaces, suggesting that prompting reflection significantly decreases the discrepancy between users’ privacy attitudes and decision outcomes. Meanwhile, making the presence of a nudge transparent had no significant effect on its influence. Furthermore, identifying individuals’ attitudes as a significant predictor of privacy behavior provides a promising direction for future research.","PeriodicalId":132553,"journal":{"name":"Proceedings of Mensch und Computer 2023","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Mensch und Computer 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3603555.3603567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Consent interfaces are habitually designed to coerce people into sharing the maximum amount of data, rather than making decisions that align with their intentions and privacy attitudes, by leveraging cognitive biases to nudge users toward certain decision outcomes through interface design. Reflection and transparency have been proposed as two design dimensions of a choice architecture constituting a responsible nudge approach capable of counteracting these mechanisms by prompting reflected choice. In a crowdsourced experiment, we evaluate these capabilities of a proposed data-disclosure consent interface design deploying the responsible nudge approach within a realistic setting by exploiting a status quo bias during the sign-up of an online survey platform as a secondary task within a crowdsourcing context. Our results provide insights into a responsible design of consent interfaces, suggesting that prompting reflection significantly decreases the discrepancy between users’ privacy attitudes and decision outcomes. Meanwhile, making the presence of a nudge transparent had no significant effect on its influence. Furthermore, identifying individuals’ attitudes as a significant predictor of privacy behavior provides a promising direction for future research.
调查负责任的助推设计为知情决策实现透明和反思决策
通过利用认知偏差,通过界面设计将用户推向某些决策结果,习惯性地设计为强迫人们共享最大数量的数据,而不是根据他们的意图和隐私态度做出决策。反射和透明度被提出作为选择架构的两个设计维度,构成了一种负责任的推动方法,能够通过提示反射选择来抵消这些机制。在众包实验中,我们通过利用在线调查平台注册过程中的现状偏见作为众包背景下的次要任务,评估了提议的数据披露同意界面设计在现实环境中部署负责任的推动方法的这些能力。我们的研究结果为负责任的同意界面设计提供了见解,表明提示反思显着降低了用户隐私态度与决策结果之间的差异。同时,使助推的存在变得透明对其影响没有显著影响。此外,将个人态度作为隐私行为的重要预测因子,为未来的研究提供了一个有希望的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信