Wandercode: An Interaction Design for Code Recommenders to Reduce Information Overload, Ease Exploration, and Save Screen Space
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| Main Authors: | , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866916370616156160 |
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| author | Henley, Austin Z. Shepherd, David Fleming, Scott D. |
| author_facet | Henley, Austin Z. Shepherd, David Fleming, Scott D. |
| contents | In this paper, we present Wandercode, a novel interaction design for recommender systems that recommend code locations to aid programmers in software development tasks. In particular, our design aims to improve upon prior designs by reducing information overload, by better supporting the exploration of recommendations, and by making more efficient use of screen space. During our design process, we developed a set of design dimensions to aid others in the design of code recommenders. To validate our design, we implemented a prototype of our design as an Atom code editor extension with support for the Java programming language, and conducted an empirical user evaluation comparing our graph-based Wandercode design to a control design representative of prior list-based interaction designs for code recommenders. The results showed that, compared with the control design, Wandercode helped participants complete tasks more quickly, reduced their cognitive load, and was viewed more favorably by participants. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_14589 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Wandercode: An Interaction Design for Code Recommenders to Reduce Information Overload, Ease Exploration, and Save Screen Space Henley, Austin Z. Shepherd, David Fleming, Scott D. Human-Computer Interaction In this paper, we present Wandercode, a novel interaction design for recommender systems that recommend code locations to aid programmers in software development tasks. In particular, our design aims to improve upon prior designs by reducing information overload, by better supporting the exploration of recommendations, and by making more efficient use of screen space. During our design process, we developed a set of design dimensions to aid others in the design of code recommenders. To validate our design, we implemented a prototype of our design as an Atom code editor extension with support for the Java programming language, and conducted an empirical user evaluation comparing our graph-based Wandercode design to a control design representative of prior list-based interaction designs for code recommenders. The results showed that, compared with the control design, Wandercode helped participants complete tasks more quickly, reduced their cognitive load, and was viewed more favorably by participants. |
| title | Wandercode: An Interaction Design for Code Recommenders to Reduce Information Overload, Ease Exploration, and Save Screen Space |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2408.14589 |