Enhancing User Interfaces to Support Privacy Mental Models

增强用户界面以支持隐私心理模型

• 批准号: RGPIN-2022-03353
• 负责人: ZhangKennedy, Leah
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=755958
• 关键词: Enhancing; User; Interfaces; Support; Privacy

A key aspect of privacy considers the human users who make critical decisions and interact with privacy mechanisms to protect their personal information. Users' perceptions and interactions with processes and technology are guided by their mental models. The long-term goal of my research program is to design, develop, and evaluate software tools and methods to support users' mental models of privacy and improve the usability, transparency, and control of privacy interfaces and mechanisms. My research program's first objective (O1) is to develop feedback systems to support decision-making as countermeasures for privacy-compromising manipulative interfaces (i.e., privacy dark patterns). We will develop just-in-time warning systems and educational games to help users recognize and avoid these patterns. The design of these tools will be informed by a research-driven design process, learning science, iterative prototyping, and user studies showing evidence of engagement and learning outcomes. The second objective (O2) will examine methodological approaches and tools for identifying conceptual and visual metaphors that support mental models of emerging technologies. We will develop visualization tools for collecting and analyzing privacy "stories", usage scenarios, and information flows. We will use the data to identify users' perceptions, mental models, and metaphors of privacy in the context of emerging technology, such as the Internet of Things (IoT) in smart home environments. The research activities will advance our understanding of the visual and conceptual metaphors of privacy in emerging technology, which can aid the design of new privacy interfaces and imagery. In the third and final objective (O3), we will develop tools to support users' mental models in specialized situations with distinct privacy requirements. We propose starting with parent-child caregiving situations when privacy preferences are delegated to a trusted proxy. We will develop a model that describes how these users should be supported and identify specialized privacy personas to cluster users based on their attitudes and behaviours towards privacy in these situations. Next, we will use participatory design techniques to develop and evaluate new tools designed to facilitate privacy interactions and build mental models, such as a privacy-preserving parental control system with educational feedback. Major outcomes of this research will include empirically validated tools, methods, and user interface design principles for supporting users' privacy decision-making processes. Trainees under the research program will gain evidence-based, multidisciplinary research skills in human-computer interaction (HCI), usable privacy, user experience (UX), and user interface (UI) design, which are critical for addressing future privacy challenges in Canada and worldwide.

隐私的一个关键方面是考虑做出关键决策并与隐私机制交互以保护其个人信息的人类用户。用户对流程和技术的感知和交互是由他们的心智模型引导的。我的研究计划的长期目标是设计、开发和评估软件工具和方法，以支持用户的隐私心理模型，提高隐私接口和机制的可用性、透明度和控制。我的研究计划的第一个目标（O1）是开发反馈系统，以支持决策，作为隐私妥协操作接口（即隐私暗模式）的对策。我们将开发及时警告系统和教育游戏，以帮助用户识别和避免这些模式。这些工具的设计将通过研究驱动的设计过程、学习科学、迭代原型和用户研究来显示参与和学习成果的证据。第二个目标（O2）将研究识别支持新兴技术心理模型的概念和视觉隐喻的方法方法和工具。我们将开发可视化工具，用于收集和分析隐私“故事”、使用场景和信息流。我们将使用这些数据来识别用户在新兴技术背景下的感知、心理模型和隐私隐喻，例如智能家居环境中的物联网（IoT）。研究活动将促进我们对新兴技术中隐私的视觉和概念隐喻的理解，这可以帮助设计新的隐私界面和图像。在第三个也是最后一个目标（O3）中，我们将开发工具来支持具有不同隐私要求的特定情况下的用户心理模型。我们建议从亲子看护开始，将隐私偏好委托给可信代理。我们将开发一个模型，描述应该如何支持这些用户，并根据用户在这些情况下对隐私的态度和行为，确定专门的隐私角色来对用户进行分组。接下来，我们将使用参与式设计技术来开发和评估旨在促进隐私互动和建立心理模型的新工具，例如带有教育反馈的隐私保护父母控制系统。本研究的主要成果将包括经验验证的工具、方法和用户界面设计原则，以支持用户的隐私决策过程。该研究项目的学员将在人机交互（HCI）、可用隐私、用户体验（UX）和用户界面（UI）设计方面获得基于证据的多学科研究技能，这对于解决加拿大和全球未来的隐私挑战至关重要。