McKay, Fraser, Kölling, Michael (2013) Predictive Modelling for HCI Problems in Novice Program Editors. In: Proceedings of BCS HCI 2013 - The Internet of Things XXVII. . British Computer Society, London, UK (KAR id:34950)
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Official URL: http://ewic.bcs.org/content/ConWebDoc/51722 |
Abstract
We extend previous cognitive modelling work to four new programming systems, with results contributing to the development of a new novice programming editor. Results of a previous paper, which quantified differences in certain visual languages, and feedback we had regarding interest in the work, suggested that there may be more systems to which the technique could be applied. This short paper reports on a second series of models, discusses their strengths and weaknesses, and draws comparisons to the first. This matters because we believe “bottlenecks” in interaction design to be an issue in some beginner languages – painfully slow interactions may not always be noticeable at first, but start to become intrusive as the programs grow larger. Conversely, text-based languages are generally less viscous, but often use difficult symbols and terminology, and can be highly error-prone. Based on the models presented here, we propose some simple design choices that appear to make a useful and substantive difference to the editing problems discussed.
Item Type: | Conference or workshop item (Paper) |
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Uncontrolled keywords: | Cognitive models, programming, Scratch, Alice, StarLogo, CogTool, cognitive dimensions, viscosity |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | F. Mckay |
Date Deposited: | 12 Sep 2013 17:10 UTC |
Last Modified: | 05 Nov 2024 10:18 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/34950 (The current URI for this page, for reference purposes) |
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