Co-designing Generative AI Technologies with Older Adults to Enhance Wellbeing

Co-designing Generative AI Technologies with Older Adults to Enhance Wellbeing

As our global population continues to age, finding innovative ways to support the health, independence, and overall wellbeing of older adults has become increasingly vital. The rapid advancements in Generative AI (GenAI) technologies present exciting new opportunities to enhance the lives of aging individuals, empowering them to better manage daily tasks, maintain cognitive function, and seamlessly integrate with healthcare services.

However, to truly harness the transformative potential of these emerging technologies, it is essential to involve older adults themselves in the design and development process. By co-designing GenAI solutions in close collaboration with the end-users, we can ensure that the unique needs, preferences, and concerns of this demographic are thoughtfully addressed.

Cultivating Insights Through Co-Design

Researchers at the MIT Media Lab and MIT AgeLab recently conducted a series of co-design workshops, bringing together older adults, caregivers, and GenAI experts to explore how these cutting-edge technologies could support cognitive aging. The workshops aimed to answer two key questions: “How might GenAI support people in cognitive tasks as they age?” and “What are older adults’ interests, needs, and concerns around such technologies?”

Through these collaborative sessions, the participants worked hands-on to conceptualize and prototype GenAI-powered solutions that could enhance daily living, memory, healthcare management, and technology usage for the older adult community. The insights gleaned from this process offer valuable guidance for the responsible development of GenAI technologies that truly meet the needs of aging individuals.

Envisioning GenAI-Powered Cognitive Support

One of the primary areas identified by workshop participants was the potential for GenAI to augment communication and social interaction. Older adults envision GenAI technologies that could “translate” and adjust the pace of conversations, allowing each communicator to be properly heard and understood. These systems could also generate visual aids, like images, to supplement verbal exchanges and enhance non-verbal communication.

Additionally, participants highlighted the opportunity for GenAI to mediate family meetings and decision-making, summarizing key discussion points and offering personalized suggestions tailored to the concerns of older adults and their loved ones. AI-powered “scribes” could also assist in conversations with healthcare providers, helping to capture and replay important information.

Enhancing Memory and Independence

Another key area of focus was the potential for GenAI to enhance memory and support independent living. Participants suggested that GenAI technologies could manage daily tasks and schedules, provide reminders for appointments and special occasions, and offer personalized information updates, like news and weather reports. By incorporating multimodal inputs, these systems could tailor their functionality to the individual’s needs and preferences, minimizing disruption and maximizing usability.

Interestingly, the older adults also envisioned GenAI playing a role in their healthcare management. They imagined systems that could visually identify medications, track symptoms, answer common medical questions, and even detect changes in vocal tone that could indicate health issues. GenAI-powered “health companions” could also generate personalized exercise plans and provide safety checks and warnings.

Addressing Accessibility and Privacy Concerns

As the workshop participants enthusiastically explored the possibilities of GenAI, they also voiced a number of important considerations and concerns. Chief among these was the need for accessibility and personalization, ensuring that the technologies are intuitive, adaptable, and responsive to the diverse needs and abilities of older adults.

Participants emphasized the importance of seamless integration with existing devices and systems, rather than requiring a complete overhaul of their technological ecosystem. The ability to customize interfaces, functionality, and data-sharing preferences was seen as crucial, allowing users to tailor the experience to their individual preferences and comfort levels.

Unsurprisingly, privacy and data security emerged as a paramount concern. Older adults were clear that any GenAI-powered solutions must have watertight data protection measures, with the option to store personal information locally rather than in the cloud. Transparency around data usage and the ability to control access were identified as essential for building trust and facilitating adoption.

Preserving Human Connections

While the workshop participants were excited about the potential of GenAI to enhance their daily lives, they were adamant that these technologies should not replace human interactions and relationships. Rather, the ideal GenAI solutions were envisioned as tools that could supplement and support human-to-human connections, facilitating more meaningful and efficient communication with healthcare providers, family members, and friends.

Participants stressed that GenAI should not be positioned as a replacement for in-person care, but rather as a means of improving access, coordination, and transparency within the healthcare system. The ability to seamlessly share information and insights with their healthcare team was seen as a key benefit, empowering older adults to play a more active role in their own wellbeing.

A Roadmap for Responsible GenAI Development

The insights gleaned from these co-design workshops underscore the importance of involving older adults as active partners in the development of GenAI technologies. By incorporating their unique perspectives, needs, and concerns, we can ensure that these emerging solutions truly address the challenges and aspirations of aging individuals.

To guide the responsible development of GenAI for cognitive aging, the researchers propose the following roadmap:

  1. Further Identify Older Adult and Caregiver Perspectives: Continue engaging with older adults and their caregivers to deeply understand their experiences, priorities, and ideas for GenAI-powered support.

  2. Engage Policymakers for Enhanced Privacy and Security: Work with policymakers to establish robust regulations around data privacy and security, ensuring that older adults’ sensitive information is protected.

  3. Expand Research and Development in Opportunity Areas: Delve deeper into the key opportunity areas identified, such as communication, memory assistance, healthcare management, and technology learning, to develop innovative GenAI solutions.

  4. Foster Cross-Disciplinary Collaborations: Bring together experts from diverse fields, including technology, aging, healthcare, and design, to collaboratively create GenAI technologies tailored to the needs of older adults.

  5. Incorporate Older Adult Interests and Concerns: Ensure that the unique interests, needs, and concerns of older adults, such as accessibility, personalization, and preserving human connections, are central to the design and development process.

  6. Test Solutions with Diverse Stakeholders: Involve older adults, their families, caregivers, and healthcare providers in the iterative testing and refinement of GenAI technologies to ensure their effectiveness and usability.

  7. Remain Adaptable to Evolving Needs: Recognize that the interests and preferences of older adults will continue to evolve, and be prepared to update GenAI solutions accordingly.

By following this roadmap and keeping older adults at the heart of the design process, we can unlock the transformative potential of GenAI to enhance the wellbeing, independence, and quality of life for aging individuals worldwide.

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