Research on Interface Design of Interactive Response System App with Different Learning Styles

Abstract

This paper discusses the interaction between students (humans) and an interaction response system (IRS) app (machine) in the teaching context and explores the interface usability and interactive experience design through the experimental method. The experiment mainly explored the differences in the use of the IRS app by learners with different learning styles. A total of 72 subjects were recruited for the experiment, of which the four learning styles (diverger, assimilator, converger, and accommodator) and the two kinds of information architecture (deep/shallow) are discussed respectively. With operating time performance and use experience as dependent variables, the relationship between variables was explored. The results of this study are as follows: in the learning style factor, subjects of the reflection and observation type responded faster to vibration; in the information architecture factor, with the deep information architecture, it took longer for page switching as more pages needed to be switched, and thus the operation performance was poor. According to the results of the two-stage experiment, the following design suggestions are proposed. It is expected that the research results can contribute to the fields of interactive experience design and teaching technology.