Design of tooltips for health data

Tooltips are regarded as beneficial methods for users to understand either a user interface element or tasks related to the system. However, little research has compared text, tables and illustrations or addressed the content of tooltips, thus this research aims to address this aspect. Through a question-suggestion approach, accompanied by interviews and questionnaires, we have looked at what actual users would prefer as expression format and content type for tooltips. We found that text is the preferred type of expression, while normal values are the preferred content type.