Can Machines Help Us Live Better?

Artificial intelligence is being used to create personalized lifestyle recommendations to help people make healthier choices. These recommendations are designed to support individuals in changing their behavior and improving their overall well-being. However, just because a machine suggests something doesn't mean a person will follow it.

There have been many studies on AI-enabled health interventions, but few have looked at whether people actually accept and adopt the recommendations made by machines. A recent review aimed to change that by examining how people respond to AI-generated lifestyle recommendations. The goal was to understand what makes people likely to accept and follow these suggestions.

The review looked at 21 studies that focused on AI-generated lifestyle recommendations given to end-users or caregivers. Most of these studies were published recently, in 2025 or 2026. The researchers found that people are more likely to accept and adopt recommendations that are tailored to their needs and context. They also found that people need to trust the recommendations and feel they have the ability to follow them.

The review identified several key factors that influence people's willingness to follow AI-generated recommendations. These include the capabilities of the system, the properties of the content, individual characteristics, and contextual constraints. The researchers developed a framework that positions acceptability and adoption as a process that involves the system, content, user, and context.

This framework can help guide the design of future AI-generated lifestyle recommendations. It highlights the importance of creating systems that can adapt to individual needs and contexts. It also emphasizes the need for recommendations that are actionable, credible, and trustworthy. By taking a user-centered approach, AI-generated lifestyle recommendations can move from being technically possible to being effective and supportive tools for behavior change.