| dc.contributor.author | Lieber, Tom | |
| dc.contributor.author | Brandt, Joel | |
| dc.contributor.author | Miller, Robert C. | |
| dc.date.accessioned | 2014-09-29T18:34:44Z | |
| dc.date.available | 2014-09-29T18:34:44Z | |
| dc.date.issued | 2014-04 | |
| dc.identifier.isbn | 9781450324731 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/90445 | |
| dc.description.abstract | We present Theseus, an IDE extension that visualizes run-time behavior within a JavaScript code editor. By displaying real-time information about how code actually behaves during execution, Theseus proactively addresses misconceptions by drawing attention to similarities and differences between the programmer's idea of what code does and what it actually does. To understand how programmers would respond to this kind of an always-on visualization, we ran a lab study with graduate students, and interviewed 9 professional programmers who were asked to use Theseus in their day-to-day work. We found that users quickly adopted strategies that are unique to always-on, real-time visualizations, and used the additional information to guide their navigation through their code. | en_US |
| dc.description.sponsorship | Adobe Systems | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (Award SOCS-1111124) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Association for Computing Machinery (ACM) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1145/2556288.2557409 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | Addressing misconceptions about code with always-on programming visualizations | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Tom Lieber, Joel R. Brandt, and Rob C. Miller. 2014. Addressing misconceptions about code with always-on programming visualizations. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14). ACM, New York, NY, USA, 2481-2490. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.mitauthor | Lieber, Tom | en_US |
| dc.contributor.mitauthor | Miller, Robert C. | en_US |
| dc.relation.journal | Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.orderedauthors | Lieber, Tom; Brandt, Joel R.; Miller, Rob C. | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-0442-691X | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |