EMIP: The eye movements in programming dataset
Bednarik, R
Busjahn, T
Gibaldi, A
Ahadi, A
Bielikova, M
Crosby, M
Essig, K
Fagerholm, F
Jbara, A
Lister, R
Orlov, P
Paterson, J
Sharif, B
Sirkiä, T
Stelovsky, J
Tvarozek, J
Vrzakova, H
van der Linde, I
- Publisher:
- Elsevier BV
- Publication Type:
- Journal Article
- Citation:
- Science of Computer Programming, 2020, 198, pp. 102520-102520
- Issue Date:
- 2020-10-15
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
2020_08_BednarikEtAl2020EMIP_TheEyeMovementsInProgrammingDataset.pdf | Accepted version | 1.23 MB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Bednarik, R | |
dc.contributor.author | Busjahn, T | |
dc.contributor.author | Gibaldi, A | |
dc.contributor.author | Ahadi, A | |
dc.contributor.author | Bielikova, M | |
dc.contributor.author | Crosby, M | |
dc.contributor.author | Essig, K | |
dc.contributor.author | Fagerholm, F | |
dc.contributor.author | Jbara, A | |
dc.contributor.author |
Lister, R |
|
dc.contributor.author | Orlov, P | |
dc.contributor.author | Paterson, J | |
dc.contributor.author | Sharif, B | |
dc.contributor.author | Sirkiä, T | |
dc.contributor.author | Stelovsky, J | |
dc.contributor.author | Tvarozek, J | |
dc.contributor.author | Vrzakova, H | |
dc.contributor.author | van der Linde, I | |
dc.date.accessioned | 2020-12-09T15:20:43Z | |
dc.date.available | 2020-12-09T15:20:43Z | |
dc.date.issued | 2020-10-15 | |
dc.identifier.citation | Science of Computer Programming, 2020, 198, pp. 102520-102520 | |
dc.identifier.issn | 0167-6423 | |
dc.identifier.uri | http://hdl.handle.net/10453/144601 | |
dc.description.abstract | © 2020 A large dataset that contains the eye movements of N=216 programmers of different experience levels captured during two code comprehension tasks is presented. Data are grouped in terms of programming expertise (from none to high) and other demographic descriptors. Data were collected through an international collaborative effort that involved eleven research teams across eight countries on four continents. The same eye tracking apparatus and software was used for the data collection. The Eye Movements in Programming (EMIP) dataset is freely available for download. The varied metadata in the EMIP dataset provides fertile ground for the analysis of gaze behavior and may be used to make novel insights about code comprehension. | |
dc.language | en | |
dc.publisher | Elsevier BV | |
dc.relation.ispartof | Science of Computer Programming | |
dc.relation.isbasedon | 10.1016/j.scico.2020.102520 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 0803 Computer Software | |
dc.subject.classification | Software Engineering | |
dc.title | EMIP: The eye movements in programming dataset | |
dc.type | Journal Article | |
utslib.citation.volume | 198 | |
utslib.for | 0803 Computer Software | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Strength - HCTD - Human Centred Technology Design | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science | |
pubs.organisational-group | /University of Technology Sydney | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2020-12-09T15:20:33Z | |
pubs.publication-status | Published | |
pubs.volume | 198 |
Abstract:
© 2020 A large dataset that contains the eye movements of N=216 programmers of different experience levels captured during two code comprehension tasks is presented. Data are grouped in terms of programming expertise (from none to high) and other demographic descriptors. Data were collected through an international collaborative effort that involved eleven research teams across eight countries on four continents. The same eye tracking apparatus and software was used for the data collection. The Eye Movements in Programming (EMIP) dataset is freely available for download. The varied metadata in the EMIP dataset provides fertile ground for the analysis of gaze behavior and may be used to make novel insights about code comprehension.
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