When searching for information, humans use natural language processing to perform an auto search. Auto searches are performed by software that analyzes text, and produce a result based on the analysis. In the past, auto searches were performed manually by people using computers.

However, as people have become more educated and as computers have become more sophisticated, humans have shifted their focus to the manual aspects of auto searches. Currently, many scholars argue about the pros and cons of performing auto searches versus performing manual ones. According to a study published in 2017 in the journal Science Advances, humans are performing more than 500 billion auto searches per year. Therefore, it is crucial to understand how we perform these searches and what changes could improve our efficiency.