Experiment 2 - Interpretive Assessment
收藏Mendeley Data2026-04-09 收录
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The data from the survey were collected using Microsoft Forms, leveraging Material UI to ensure a clean and professional design with pre-built components for streamlined development. Explainability outputs were primarily presented through Python-generated graphs and charts. These visualisations are tailored from the selected models in the Captum library, which offers customisation on its generic output.
本调研的数据通过微软表单(Microsoft Forms)采集,采集过程借助Material UI组件库实现简洁专业的界面设计,并通过预构建组件简化开发流程。可解释性输出主要通过Python生成的各类图表进行展示。此类可视化内容均基于Captum库中选定的模型定制生成,该库支持对其通用输出进行个性化自定义。



