Trauma-Informed Computing: Towards Safer Technology Experiences for All

Universal & Inclusive DesignPrivacy by Design & User ControlTechnology Ethics & Critical HCIAssistive Technology SpecialistsHCI ResearchersCognitive Scientists

Title of the Paper

Trauma-Informed Computing: Towards Safer Technology Experiences for All

Paper Information

  • Subject Areas: Human-Computer Interaction (HCI), Information Security, Trauma-Informed Design
  • Keywords: Trauma, Trauma-Informed Computing, Intimate Partner Violence (IPV), Transgender Individuals, Gender-Based Violence, Computer Security and Privacy

Research Background and Problems

  • Problems and Challenges:

    1. Trauma, as an emotional or psychological issue triggered by significant stress events (such as disasters, violence, and psychological harm), has a widespread impact on individuals' lives and their experiences with technology.
    2. Digital technologies can trigger or even exacerbate traumatic experiences, such as cases where technology amplifies intimate partner violence (IPV) or identity theft.
    3. Current technological designs fail to adequately consider how trauma affects user behavior and experiences, potentially leading to secondary trauma (i.e., re-triggering trauma responses).
  • Significance of the Research:

    1. In a world where trauma is prevalent, neglecting trauma-informed design results in technology that fails to meet user needs.
    2. Marginalized groups, including IPV survivors, transgender individuals, and victims of identity theft, face additional psychological stress and harm due to digital technologies.
  • Motivation and Related Work:

    • Existing research has explored technology use issues among specific trauma-affected groups (e.g., PTSD patients and IPV survivors), but lacks a comprehensive framework to explain the relationship between technology and trauma.
    • This study introduces trauma-informed theories from social work and public health, aiming to extend their applicability to computing research and practice.

Solutions

  • Proposed Solution or Framework:

    • A framework called Trauma-Informed Computing is proposed, focusing on enhancing the safety of technology design and reducing traumatic interactions.
  • Core Principles of the Solution:

    1. Safety: Ensuring both physical and psychological safety in technology use.
    2. Trust: Building user trust in technology through transparency and predictability.
    3. Peer Support: Using technology to connect individuals with similar experiences to form support networks.
    4. Collaboration: Empowering users to play an active role in the design and operation of technology.
    5. Enablement: Enhancing users' self-help capabilities and providing greater decision-making power.
    6. Intersectionality: Recognizing the systemic inequalities arising from the intersections of multiple identities (e.g., gender, race).
  • Innovative Aspects:

    • Integrating core principles of trauma-informed theory (e.g., guidelines from the U.S. Substance Abuse and Mental Health Services Administration) into the processes of technology design, development, and evaluation.
    • High adaptability, applicable to fields such as HCI, security and privacy, artificial intelligence, and organizational culture.
  • Implementation Steps and Technical Methods:

    1. Illustrating the multidimensional connections between trauma and technology interaction through real-world cases (e.g., IPV and transgender individuals' technology-related experiences).
    2. Designing trauma-informed guidelines and applying them across various stages, including user research, interface design, security threat modeling, and algorithm development.
    3. Evaluating improvements in traditional goals such as psychological safety and transparency.

Research Outcomes

  • Specific Outcomes:

    1. Trauma-informed principles were successfully adapted and applied to technology design, development, and evaluation.
    2. An adaptable trauma-informed computing framework was proposed, with practical value demonstrated in four major application areas:
      • User experience research and design
      • Security and privacy
      • Artificial intelligence and machine learning
      • Internal culture of technology companies
  • Comparison with Existing Solutions and Advantages:

    • Compared to traditional technology design, this approach places greater emphasis on the specific needs of marginalized user groups, such as reducing potential trauma triggers.
    • Enhances existing privacy and security models by incorporating emotional and psychological factors into threat modeling.
  • Experimental or Evaluation Results:

    • Instead of traditional quantitative experiments, the framework's practical feasibility was validated through real-world cases and theoretical analysis.
    • Detailed design strategies and guidelines were proposed, such as improving platform trust and transparency through change notifications, user-friendly interfaces, and support for diverse forms of expression.
  • Limitations and Future Directions:

    • This framework does not directly treat trauma but aims to mitigate technology-induced harm.
    • Implementation challenges stem from the current profit-driven technology development model (e.g., "move fast and break things") and the need to balance user privacy with technological transparency.
    • Future work should further integrate technology with broader fields such as social justice and mental health interventions.

Conclusion

Trauma-Informed Computing provides a framework for technology design and development, inspired by principles advocated in traditional social work and mental health practices. This framework can significantly improve the technology experiences of marginalized communities while enhancing overall user safety and satisfaction.

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https://hci.top/en/papers/chi/71985/2022

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DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3517475
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Source
CHI
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2022
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9 authors
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Subtopics
Universal & Inclusive Design, Privacy by Design & User Control, Technology Ethics & Critical HCI
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Assistive Technology Specialists, HCI Researchers, Cognitive Scientists
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