arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2103.16399cs.HC
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技术支持的反思量表的编制与验证

The Development and Validation of the Technology-Supported Reflection Inventory

Marit Bentvelzen, Jasmin Niess, Mikołaj P. Woźniak, Paweł W. Woźniak

摘要:

反射是人机交互研究中经常涉及的设计目标。近年来,已经开发出越来越多的用于反射的人工制品。然而,评估交互式技术是否以及如何帮助用户反思仍然是复杂的。这使得很难比较工件(或原型)的反射,阻碍了未来的设计工作。为了解决这个问题,我们开发了\emph{Technology-Supported Reflection Inventory}(TSRI),这是一个评估系统支持反射的有效性的量表。我们首先根据过去定义反射的工作创建了一个可能的尺度项列表。然后由专家对这些项目进行审查。接下来,我们进行了探索性因素分析,以减少规模的最终长度为9个项目。随后,我们确认了我们的工具的重测效度,以及它的结构效度。TSRI使研究人员和从业者能够比较旨在支持反思的原型。

英文摘要:

Reflection is an often addressed design goal in Human-Computer Interaction (HCI) research. An increasing number of artefacts for reflection have been developed in recent years. However, evaluating if and how an interactive technology helps a user reflect is still complex. This makes it difficult to compare artefacts (or prototypes) for reflection, impeding future design efforts. To address this issue, we developed the \emph{Technology-Supported Reflection Inventory} (TSRI), which is a scale that evaluates how effectively a system supports reflection. We first created a list of possible scale items based on past work in defining reflection. The items were then reviewed by experts. Next, we performed exploratory factor analysis to reduce the scale to its final length of nine items. Subsequently, we confirmed test-retest validity of our instrument, as well as its construct validity. The TSRI enables researchers and practitioners to compare prototypes designed to support reflection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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