Reframe: An Augmented Reality Storyboarding Tool for Character-Driven Analysis of Security & Privacy Concerns

Title of the Paper

Reframe: An Augmented Reality Storyboarding Tool for Character-Driven Analysis of Security & Privacy Concerns

Paper Information

• Subject Area: Augmented Reality (AR) Design and Security & Privacy Threat Modeling
• Keywords: Augmented Reality, Storyboarding Tool, Security and Privacy, Threat Modeling, User Interface Design, Character-Driven Analysis

Research Background and Problem

• Issues and Challenges:

  • Current augmented reality (AR) creation tools help beginners lower technical barriers but lack support for analyzing potential security and privacy (S&P) threats during the design process.
  • AR devices, while capturing users' environments, may pose privacy risks, such as bystanders' privacy concerns and malicious sharing of virtual content.
  • Beginner designers often lack formal S&P training, which may lead to overlooking security risks during the design process.

• Significance:

  • With the proliferation of AR systems, it is crucial to introduce effective threat modeling processes in the early design stages. This not only mitigates the potential negative impacts of technology on users but also accelerates the implementation of privacy design principles.
  • Threat modeling is a systematic approach to identifying the potential adverse impacts of technology, providing guidance to safeguard against critical privacy harms.

• Research Motivation and Related Work:

  • Inspired by privacy education tools (e.g., ideation cards and privacy comics), the authors aim to embed these methods into the design workflow.
  • Existing research has expanded AR creation technologies but has not sufficiently addressed the security and privacy implications of design.
  • By creating the Reframe system, the authors seek to integrate threat analysis with low-fidelity AR storyboarding tools, offering actionable solutions for beginner designers.

Solution

• Proposed Solution:

  • Reframe is a digital storyboarding tool that employs a framework-based creation and character-driven analysis approach, enabling beginner designers to identify and evaluate potential security and privacy threats.
  • The character-driven analysis tool personifies security and privacy threats, making it easier for beginners to understand complex threat models.

• Innovations:

  • Embedding threat modeling into early AR creation tools, tightly integrating the design and risk analysis processes.
  • Using a framework approach to focus designers on low-fidelity interaction prototypes while iteratively identifying potential threats.
  • The character-driven analysis tool visually represents threats and supports designers in generating mitigation strategies through prompts.

• Implementation Steps and Key Techniques:

  1. Create a character-driven threat model to categorize and describe major security and privacy threats in AR.
  2. Develop a frame-based AR storyboarding tool, including simulated environments, asset libraries, and interaction technique visualizations.
  3. Automatically insert characters and analysis prompts into scenes to help designers identify threats and consider mitigation strategies.
  4. Provide screen and audio recording tools to capture designers' analysis processes, supporting subsequent review and improvement.

Research Outcomes

• Specific Outcomes:

  • The development of the Reframe system enhanced beginner designers' ability to perform threat modeling and propose mitigation strategies.
  • After using the Reframe tool, beginners were able to design threat mitigation measures that experts deemed of high quality.
  • The character-driven analysis tool effectively facilitated designers' understanding and resolution of threats.

• Advantages:

  • Compared to traditional hand-drawn storyboards, Reframe supports more efficient threat analysis through digital means.
  • Experts found the analysis results supported by Reframe to be of good quality and conducive to multi-stakeholder collaboration.
  • Beginners using Reframe were able to explore more interaction design possibilities.

• Experiment and Evaluation Results:

  • In a user study, 8 beginner designers efficiently used Reframe to create storyboards and conduct threat modeling.
  • A second study showed that 4 security and privacy experts positively evaluated the quality of threat analyses and mitigation strategies generated by beginners (average score: 3.91/5).
  • Experts believed Reframe helped designers more comprehensively analyze threats and propose preliminary solutions.

• Limitations and Future Directions:

  • Limitations:

    • Reframe's low-fidelity environment may lack the ability to simulate real-world usage scenarios, failing to fully capture fine-grained interactions or more complex threats.
    • Currently, it only supports specific threat models (e.g., role-based threats synchronized within the scene) and does not cover remote or more technical privacy issues.
    • Digital creation may pose a higher technical barrier for novice designers.

  • Future Work Directions:

    • Explore ways to support more realistic environment simulations for better threat analysis.
    • Expand Reframe to address remote threats or privacy issues related to multiple applications.
    • Develop collaborative tools to enhance cooperation between designers and S&P experts for improved mitigation strategies.
    • Investigate methods to integrate existing AR creation tools (e.g., Unity and Unreal) with such security and privacy guidance tools.