Memory Machine

Digital Memory Aid

Memory Machine assists people living with Alzheimer’s disease by using personalised prompts and reminders to support memory and routine. User research highlighted design and accessibility challenges in the product’s design. I created a design system and UX guidelines to rectify these issues while enhancing usability and accessibility.

Role

UX Consultant

Timeline

Apr 2023

-

Sep 2023

Team
  • Founder
Responsibilities
  • User Research
  • Design Guidelines
  • Design Systems
  • User Interface
  • Interaction Design

UX Challenge

The challenge was to create a visually appealing, intuitive and accessible design system for users who may be suffering from cognitive, mobility or visual impairments. As the target audience can become easily stressed or confused, I needed to ensure that the design system would produce experiences that were intuitive and easy to navigate.

Discovery

Before designing the solution, I needed to understand the unique characteristics of those living with Alzheimer’s disease. I undertook a number of research practices including literature review, user interviews and observation, consulted with experts in the field, and reviewed accessibility guidelines (e.g. WCAG).

The literature helped me understand the many changes and impairments as the disease progresses that I would need to accomodate in the design, including:

Short-term memory impairments

Impaired problem solving

Motor impairments

Disorientation

We interviewed Alzheimer's patients and their caregivers to understand their needs, struggles, and behaviours with the product. Their feedback revealed the following issues:

Overwhelming content

Complicated navigation

Inconsistent interface

We consulted with numerous guidelines for designing for an older population. Comparing our product to the WCAG 2.1 helped us identify areas lacking compliance and ways to improve:

Avoid relying on colour

Ensure high colour contrast ratios

Ensure larger text sizes for better readability

Use larger touch targets

Limitations

Being a small start-up with limited resources, we leant on the amazing work done by others where possible. For example, the design teams at Adobe and IBM have done amazing work creating accessible colour palettes.

We decided to utilise the Adobe Spectrum colour palette to cut down on design time. Similarly, I found that both Apple CarPlay and Android Auto provided helpful guidelines to conceptualise designing work flows for low cognitive load. 

Guidelines

Out of the discovery process, I created a set of guidelines and recommendations to help accomodate users of the platform.

1

Visual accessibility

To account for reduced visual acuity and contrast reduction, the design system adopted a type scale with a larger base size alongside high contrast colours. Colours need to meet a minimum contrast ratio of 4.5:1. 

Design

Below are some examples of the guidelines as applied to the interface.

Implementation & Results

The recommendations were implemented over a series of iterative design phases. Each change was tested with our users for feedback. Post-implementation, there was a significant reduction in instances of user confusion or stress. We received positive feedback from caregivers who noted an improvement in the ease-of-use and effectiveness of Memory Machine.

Conclusion

This case study underscores the importance of accessibility in UX design, especially for users with specific needs. Through a user-centred approach and standard accessibility guidelines, we improved Memory Machine’s functionality, making it a more reliable and effective tool for people with Alzheimer's and their caregivers. 

Continued testing and user feedback will guide future enhancements, ensuring Memory Machine remains an accessible and user-friendly aid for Alzheimer's patients.