Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire

Nanna Inie; Bjørn Hjorth Westh

doi:10.1007/978-3-031-14756-2_16

Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire

Nanna Inie
, Bjørn Hjorth Westh

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-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 language	English
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	https://doi.org/10.1007/978-3-031-14756-2_16 https://doi.org/10.1007/978-3-031-14756-2_16
Publication status	Published - 2022
Event	International Conference on Computer Supported Education - VIRTUAL, VIRTUAL Duration: 22 Apr 2022 → 24 Apr 2022 Conference number: 14 https://link.springer.com/book/10.1007/978-3-031-40501-3

Conference

Conference	International Conference on Computer Supported Education
Number	14
Location	VIRTUAL
City	VIRTUAL
Period	22/04/2022 → 24/04/2022
Internet address	https://link.springer.com/book/10.1007/978-3-031-40501-3

Keywords

active reading
survey metric
reading support tools
cognitive workload
user experience

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title = "Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire",

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{\textquoteright}s ability to support reading of academic texts.",

keywords = "active reading, survey metric, reading support tools, cognitive workload, user experience, active reading, survey metric, reading support tools, cognitive workload, user experience",

author = "Nanna Inie and Westh, \{Bj{\o}rn Hjorth\}",

year = "2022",

doi = "10.1007/978-3-031-14756-2\_16",

language = "English",

isbn = "978-3-031-14755-5",

volume = "1624",

pages = "316--335",

booktitle = "Communications in Computer and Information Science (CCIS, volume 1624)",

publisher = "Springer",

address = "Germany",

note = "International Conference on Computer Supported Education, CSEDU ; Conference date: 22-04-2022 Through 24-04-2022",

url = "https://link.springer.com/book/10.1007/978-3-031-40501-3",

}

Inie, N & Westh, BH 2022, Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire. in Communications in Computer and Information Science (CCIS, volume 1624). vol. 1624, Springer, pp. 316-335, International Conference on Computer Supported Education, VIRTUAL, 22/04/2022. https://doi.org/10.1007/978-3-031-14756-2_16, https://doi.org/10.1007/978-3-031-14756-2_16

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T1 - Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire

AU - Inie, Nanna

AU - Westh, Bjørn Hjorth

N1 - Conference code: 14

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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KW - survey metric

KW - reading support tools

KW - cognitive workload

KW - user experience

KW - active reading

KW - survey metric

KW - reading support tools

KW - cognitive workload

KW - user experience

UR - https://doi.org/10.1007/978-3-031-14756-2_16

U2 - 10.1007/978-3-031-14756-2_16

DO - 10.1007/978-3-031-14756-2_16

M3 - Article in proceedings

SN - 978-3-031-14755-5

VL - 1624

SP - 316

EP - 335

BT - Communications in Computer and Information Science (CCIS, volume 1624)

PB - Springer

T2 - International Conference on Computer Supported Education

Y2 - 22 April 2022 through 24 April 2022

ER -

Evaluating Academic Reading Support Tools: Developing the aRSX-Questionnaire

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