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 language | English |
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Title of host publication | Communications in Computer and Information Science (CCIS, volume 1624) |
Volume | 1624 |
Publisher | Springer |
Publication date | 2022 |
Pages | 316-335 |
ISBN (Print) | 978-3-031-14755-5 |
ISBN (Electronic) | 978-3-031-14756-2 |
DOIs | |
Publication status | Published - 2022 |
Keywords
- active reading
- survey metric
- reading support tools
- cognitive workload
- user experience