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Development and Validation of a Descriptive Cognitive Model for Predicting Usability Issues in a Low-Code Development Platform.

Authors :
Silva C
Vieira J
Campos JC
Couto R
Ribeiro AN
Source :
Human factors [Hum Factors] 2021 Sep; Vol. 63 (6), pp. 1012-1032. Date of Electronic Publication: 2020 May 22.
Publication Year :
2021

Abstract

Objective: The aim of the study was the development and evaluation of a Descriptive Cognitive Model (DCM) for the identification of three types of usability issues in a low-code development platform (LCDP).<br />Background: LCDPs raise the level of abstraction of software development by freeing end-users from implementation details. An effective LCDP requires an understanding of how its users conceptualize programming. It is necessary to identify the gap between the LCDP end-users' conceptualization of programming and the actions required by the platform. It is also relevant to evaluate how the conceptualization of the programming tasks varies according to the end-users' skills.<br />Method: DCMs are widely used in the description and analysis of the interaction between users and systems. We propose a DCM which we called PRECOG that combines task decomposition methods with knowledge-based descriptions and criticality analysis. This DCM was validated using empirical techniques to provide the best insight regarding the users' interaction performance. Twenty programmers (10 experts, 10 novices) were observed using an LCDP and their interactions were analyzed according to our DCM.<br />Results: The DCM correctly identified several problems felt by first-time platform users. The patterns of issues observed were qualitatively different between groups. Experts mainly faced interaction-related problems, while novices faced problems attributable to a lack of programming skills.<br />Conclusion: By applying the proposed DCM we were able to predict three types of interaction problems felt by first-time users of the LCDP.<br />Application: The method is applicable when it is relevant to identify possible interaction problems, resulting from the users' background knowledge being insufficient to guarantee a successful completion of the task at hand.

Subjects

Subjects :
Humans
Cognition
Software

Details

Language :
English
ISSN :
1547-8181
Volume :
63
Issue :
6
Database :
MEDLINE
Journal :
Human factors
Publication Type :
Academic Journal
Accession number :
32442034
Full Text :
https://doi.org/10.1177/0018720820920429