Unlocking Efficiency Through a Comparative Analysis of Predictive Text on User Chatting Experience in iOS and Android Smartphones

Smartphone chatting features on both iOS and Android operating systems have benefited from the features developed through a feature referred to as predictive text. As the name suggests, by using artificial intelligence people's previous typing behaviors, predictive text could automatically recommend any word(s) or phrase(s) which in turn, could potentially reduce the amount of time people spend in typing out the messages. The purpose of this study is to evaluate how accurate prediction helps the common user in his or her day-to-day communication through their smartphone apart from the professional realm and in informal chatting. If information about the usage of predictive texts was to be obtained, then a quantitative method was used. Surveys were posted on different social networks regarding Google Forms to access as many participants as possible. From the findings, it is clear that both iOS and Android users find the predictive text helpful as it enhances typing speed and greatly lessens typing errors. Most importantly saves time and minimizes typing errors, especially for frequently used words or phrases. Participants said it takes less time to write messages when the phone predicts the words as it helps in the overall flow of the conversation since people do not have to make corrections for wrong actions made when typing the message. Although there may sometimes be problems with the results, only a few participants had complaints regarding this feature, and the majority considered it highly useful for communication in their everyday lives.