Health literacy is crucial to supporting good health and is a major national goal. Audio delivery of information is becoming more popular for informing oneself. In this study, we evaluate the effect of audio enhancements in the form of information emphasis and pauses with health texts of varying difficulty and we measure health information comprehension and retention. We produced audio snippets from difficult and easy text and conducted the study on Amazon Mechanical Turk (AMT). Our findings suggest that emphasis matters for both information comprehension and retention. When there is no added pause, emphasizing significant information can lower the perceived difficulty for difficult and easy texts. Comprehension is higher (54%) with correctly placed emphasis for the difficult texts compared to not adding emphasis (50%). Adding a pause lowers perceived difficulty and can improve retention but adversely affects information comprehension.

In day to day life, individuals are effectively confronting a few choices to make. For a machine to settle on these sorts of decisions, the automatic route is to show the issues faced in a numerical articulation. The mathematical articulation could legitimately be structured from the issue foundation. Machine learning is a formal learning model. For example, a candy machine could utilize the gauges and security enrichment of cash to distinguish false payment.