Voice/AI/Voice Assistants

Apple gets it that its customers are aging – and have their devices.  That was not always the case. Long ago, maybe as early as 2009, a query was placed to the analyst relations team at Apple to find folks to discuss Apple and technology adoption of older adults.  The answer was: "Apple does not do aging."  Then in 2010, on behalf of an AARP-sponsored research effort to contact a few of multiple Apple groups already involved one way or the other (Apple Health!), got no response to requests to interview execs that would have been interested based on their roles.  That was then. Fast forward to 2021 and the fact that baby boomers have all the money (and many health issues, too). Note Apple Health, Apple Accessibility, fall detection on the watch, detection of gait changes, changes in AirPods that clearly target conversational hearing issues. And that doesn’t count the health-specific features on the watch that will no doubt include blood pressure checks.  

AI – it’s everywhere, including tech for older adults. So what is AI? Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI can use machine learning based on large data sets, and has a number of well-known applications, including recommendations from Netflix, Siri and Alexa, bots and robo-advisors. AI plays an increasing role in healthcare, including the growing use of chatbot tools used by patients. In addition, there are multiple examples of use in the care of older adults. In some cases, these are the result of partnerships, in others from product development. Here are five recent examples leveraging AI, with all information coming from vendor announcements and websites:

Technology access is a vital sign.  Non-adoption is not an option. Post Covid-19 we have reached a technology dependency level that is worrisome (see remote hacking), problematic for young people (see social media impact), positive/negative impact on depression in older adults. But when viewed in aggregate, lack of access may be worse. Consider categories like smartphones and text messaging, voice assistants, wearables, cameras, computers, tablets, digital health, medication management, home security services, fall detection, fintech, hearables, location tracking, online shopping and more. What? You know older adults who could use a few of those categories, but likely are not. Why not? Perhaps they are worried about barriers, from A to Z: