Evaluating children’s websites from an information visualization perspective: findings of a comparative mixed-methods study

Author:

Norouzi Yaghoub,Keshavarz Hamid,Jafari Athar Zahra

Abstract

Purpose This study aims to evaluate the selected children’s websites in terms of information visualization features based on the criteria existing in the related literature and expert scrutiny. Design/methodology/approach A mixed-methods (qualitative-quantitative) study was conducted with a descriptive-comparative approach. A set of 80 English websites, as well as 24 quality Persian websites, were selected constituting a sample size of 104 websites. A conceptual model was developed from an extensive literature review on information visualization in children’s websites. In the quantitative part, a checklist derived from the conceptual model and based on the heuristic evaluation method was distributed among 20 related experts, the data of which were then analysed through Partial Least Squares using SmartPLS 3.0. Findings Confirmatory factor analysis showed high-reliability indicators and fit indices in measurement and structural models showing that the conceptual model had the necessary validities among the expert evaluators. Path coefficients showed that layout design and user interface design were the first and last priorities among the dimensions. It was also found that English websites were much more successful than Persian websites in supporting the features of information visualization. Originality/value The current study has implications for the effective use of standard features related to information visualization in children’s websites usable for designers, media specialists, parents, instructors and librarians, which would also make the children more engaged to better use, learn and interact with the websites.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Internet-based New Media in Information Visualization;2022 World Automation Congress (WAC);2022-10-11

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