Abstract: A method for identifying and presenting a customized health-related feature for a user of a digital assistant. The method includes: determining, based on an input dataset, a current state of a user and a desirability score; generating a first group of a plurality of health-related features based on the current state, wherein the plurality of health-related features within the first group shares at least a common characteristic among the plurality of health-related features; extracting an experience level value for each of the plurality of health-related features within the first group; identifying a customized health-related feature; and presenting the customized health-related feature by the digital assistant.

Abstract: A method and system for providing a recommendation by a digital assistant using a persuasive action are provided. The method includes determining a recommendation for a user of the digital assistant to perform a certain activity, wherein the recommendation is determined based on a current state of the user; analyzing a historical dataset related to the user to compile a persuasive action, wherein the persuasive action is customized based on at least one convincing method and based on the analysis of the historical dataset and the current state of the user; and presenting the determined recommendation by applying the persuasive action, wherein the recommendation is presented by means of an input/output (I/O) device executing the digital assistant, wherein the persuasive action is a convincing method having the highest probability to cause the user to accept the recommendation of the digital assistant.