Managing AI Conversations in AgeTech Apps

Conversational AI systems represent a fundamental shift in healthcare technology—they are socio-technical systems that blur traditional boundaries between human-computer interaction. Unlike conventional electronic health record systems that simply store and retrieve data, these AI assistants simulate human conversation, build rapport, and…

A fairly recent research in Measurement Journal reveals a critical disconnect between laboratory testing and real-world performance of fall detection systems (Casilari & Silva, 2022). These wearable devices, typically pendants or smartwatches equipped with accelerometers, automatically alert caregivers when falls occur.

Colorado's SB24-205 introduces comprehensive AI regulations that will significantly impact AgeTech companies and caregiving organizations using AI systems with seniors. Taking effect February 2026, the law requires AI developers and deployers to implement rigorous risk management for "high-risk" AI systems, conduct impact assessments, provide transparency to consumers, and report algorithmic discrimination.

My qualitative research estimate tool streamlines the process of requesting, scoping, and pricing qualitative research projects.

This research timeline calculator will help us estimate realistic timelines for qualitative research studies with older adults. It accounts for key variables that impact study duration, including participant recruitment complexity, accessibility needs, health considerations, and geographic distribution.

Imagine helping your mom choose a smart device to manage her medications. You see two similar products - both claiming to be "AI-powered" and "reliable." But one carries a clear safety label, like the nutrition facts she checks carefully on her food packages. This label shows exactly how accurate the system is, verified by independent experts, and explained in simple terms that both you and your mom can understand. The other product just has marketing claims… (click to read more)

The home-care industry is entering a period of rapid evolution (2025-2035) driven by emerging AI capabilities. While technological advancement makes transformation more viable than ever, success depends on a human-centered service design approach.

This analysis maps key challenges - both technological and operational - that providers must address as they… (click to read more)

In today's rapidly evolving technological landscape, artificial intelligence has become a powerful tool for enhancing products and services designed for older adults. However, many organizations find themselves at a crossroads: they understand the potential of AI to transform their offerings, but they're unsure how to implement it responsibly. This uncertainty often leads to… (click to read more)

The intersection of AgeTech and AI presents unique challenges to companies and organizations operating in this space. AI systems should be viewed as socio-technical systems, each encapsulating conflicting interests between people, technology and regulations, especially when vulnerable populations, privacy, bias and transparency are concerned.

 This guide suggests a familiar and repeatable structured approach combining design-led thinking and sprint methodology that… (click to read more)