An analysis of information overload with implications for survey design research

Publisher Website
Google Scholar
Abstract
A laboratory‐type experiment was conducted to examine potential information overload causes and solutions. It was found that both information quantity and information complexity are potential causes of information overload. The experiment results also suggested that information overload problems may be reduced through carefully designed information display patterns. When designing survey questionnaires, attention must be given to potential causes of information overload. Methods of presenting information that ameliorate information overload must also be considered. As demonstrated in this study, survey designs can be tested in controlled, laboratory‐type experiments. The results of these experiments can then be used to improve the design of field survey questionnaires.

This publication has 11 references indexed in Scilit: