Co-designing Recovery Technologies: Empowering Users in Substance Use Disorder Support

Category: User-Centred Design · Effect: Strong effect · Year: 2018

Involving individuals with lived experience of substance use disorders in the design process leads to the identification of critical technological support needs aligned with their recovery values and practices.

Design Takeaway

Designers must actively involve individuals in recovery as co-creators to develop technologies that are sensitive to their unique needs, values, and the community structures that support their journey.

Why It Matters

This approach ensures that digital tools are not only functional but also culturally relevant and supportive of the user's journey. By prioritizing user agency and community traditions, designers can create more effective and ethical interventions.

Key Finding

The research identified five key areas where technology can support individuals in recovery from substance use disorders: facilitating recovery practices, managing acute distress, ensuring user control over personal data, monitoring progress, and aiding in the establishment of a new life routine.

Key Findings

Research Evidence

Aim: What are the key themes and design opportunities for supportive technologies identified through participatory design with women in recovery from substance use disorders?

Method: Qualitative, Participatory Design Workshops

Procedure: Researchers conducted participatory design workshops with women in recovery from substance use disorders. The workshops aimed to identify needs and opportunities for supportive technologies. Data from these workshops were analyzed using a data-driven inductive qualitative analysis to identify major themes.

Context: Support technologies for recovery from substance use disorders.

Design Principle

Involve end-users with lived experience in the co-design of support technologies to ensure relevance, efficacy, and ethical considerations.

How to Apply

When designing any support system for vulnerable populations, conduct co-design workshops to understand their specific needs, cultural contexts, and desired levels of control.

Limitations

Findings are specific to the experiences of women in recovery and may not be generalizable to all demographics or substance use disorders. The study did not involve the development or testing of actual technological prototypes.

Student Guide (IB Design Technology)

Simple Explanation: When making technology to help people with addiction, it's super important to ask them what they need and want, not just guess. They know best what helps them stay sober and feel safe.

Why This Matters: This research shows that user-centered design, especially with vulnerable groups, leads to more effective and respectful solutions. It highlights the importance of understanding user values and community practices.

Critical Thinking: How might the identified themes for recovery technologies differ for different age groups or genders within the substance use disorder community?

IA-Ready Paragraph: This design project adopts a user-centred approach, informed by research such as Schmitt and Yarosh (2018), which emphasizes the critical role of participatory design in developing technologies for recovery from substance use disorders. Their work highlights how co-design with individuals in recovery can uncover essential themes like supporting recovery practices, managing crises, ensuring privacy, tracking progress, and building a new life, thereby ensuring that technological solutions are not only functional but also ethically sound and aligned with user values.

Project Tips

How to Use in IA

Examiner Tips

Independent Variable: ["Participatory design workshops with women in recovery."]

Dependent Variable: ["Identified themes for supportive technologies.","Design opportunities."]

Controlled Variables: ["Qualitative analysis methodology."]

Strengths

Critical Questions

Extended Essay Application

Source

Participatory Design of Technologies to Support Recovery from Substance Use Disorders · Proceedings of the ACM on Human-Computer Interaction · 2018 · 10.1145/3274425