Anglia Ruskin Research Online (ARRO)
Browse
Bednarik_et_al_2020.pdf (1.87 MB)

EMIP: The eye movements in programming dataset

Download (1.87 MB)
journal contribution
posted on 2023-08-30, 17:42 authored by Roman Bednarik, Teresa Busjahn, Agostino Gibaldi, Alireza Ahadi, Maria Bielikova, Martha Crosby, Kai Essig, Fabian Fagerholm, Ahmad Jbara, Raymond Lister, Pavel Orlov, James Paterson, Bonita Sharif, Teemu Sirkiä, Jan Stelovsky, Jozef Tvarozek, Hana Vrzakova, Ian van der Linde
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.

History

Refereed

  • Yes

Volume

198

Page range

102520

Publication title

Science of Computer Programming

ISSN

0167-6423

Publisher

Elsevier

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-09-22

Legacy creation date

2020-09-23

Legacy Faculty/School/Department

Faculty of Science & Engineering

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC