Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire

Nanna Inie, Bjørn Hjorth Westh

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

This paper presents and evaluates a new survey metric, the active Reading Support indeX (aRSX), which was created to help researchers and designers evaluate whether a specific software or hardware tool supports active reading of academic texts. The aRSX is comprised of questions in five categories: The Text, Cognitive Workload, Physical Workload, Perceived Learning, User Experience and Aesthetics, and Flow, as well as an open-ended question for additional comments. In this paper, we present our initial development of two beta-versions of the questionnaire in two studies of n = 100 and n = 53 deployments, evaluating paper, laptops, iPads, and reMarkable tablets as reading support tools. These studies led to the current version of the aRSX, and the initial results suggest that the metric is a reliable and valid indicator of a tool’s ability to support reading of academic texts.
Original languageEnglish
Title of host publicationCommunications in Computer and Information Science (CCIS, volume 1624)
Volume1624
PublisherSpringer
Publication date2022
Pages316-335
ISBN (Print)978-3-031-14755-5
ISBN (Electronic)978-3-031-14756-2
DOIs
Publication statusPublished - 2022

Keywords

  • active reading
  • survey metric
  • reading support tools
  • cognitive workload
  • user experience

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