Show simple item record

dc.contributor.authorLieber, Tom
dc.contributor.authorBrandt, Joel
dc.contributor.authorMiller, Robert C.
dc.date.accessioned2014-09-29T18:34:44Z
dc.date.available2014-09-29T18:34:44Z
dc.date.issued2014-04
dc.identifier.isbn9781450324731
dc.identifier.urihttp://hdl.handle.net/1721.1/90445
dc.description.abstractWe 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.sponsorshipAdobe Systemsen_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Award SOCS-1111124)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2556288.2557409en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleAddressing misconceptions about code with always-on programming visualizationsen_US
dc.typeArticleen_US
dc.identifier.citationTom 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.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorLieber, Tomen_US
dc.contributor.mitauthorMiller, Robert C.en_US
dc.relation.journalProceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsLieber, Tom; Brandt, Joel R.; Miller, Rob C.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0442-691X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record