Decoding Semantic Categories from EEG Activity in Object-Based Decision Tasks

Rekrut, Maurice; Sharma, Mansi; Schmitt, Matthias; Alexandersson, Jan; Krüger, Antonio

doi:10.1109/bci48061.2020.9061628

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…Power line noise was removed by a notch filter with a lower cutoff frequency of 49 Hz and an upper cutoff frequency of 51 Hz. Second, to obtain a more robust performance in the subsequent analysis, we also removed baseline drifts and highfrequent noise with a bandpass filter ranging from 4 to 200 Hz [63].…”

Section: Eeg Datamentioning

confidence: 99%

Correlates of programmer efficacy and their link to experience: a combined EEG and eye-tracking study

Peitek

Bergum

Rekrut

et al. 2022

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Enginee

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Background: Despite similar education and background, programmers can exhibit vast differences in efficacy. While research has identified some potential factors, such as programming experience and domain knowledge, the effect of these factors on programmers' efficacy is not well understood. Aims: We aim at unraveling the relationship between efficacy (speed and correctness) and measures of programming experience. We further investigate the correlates of programmer efficacy in terms of reading behavior and cognitive load. Method: For this purpose, we conducted a controlled experiment with 37 participants using electroencephalography (EEG) and eye tracking. We asked participants to comprehend up to 32 Java sourcecode snippets and observed their eye gaze and neural correlates of cognitive load. We analyzed the correlation of participants' efficacy with popular programming experience measures. Results: We found that programmers with high efficacy read source code more targeted and with lower cognitive load. Commonly used experience levels do not predict programmer efficacy well, but selfestimation and indicators of learning eagerness are fairly accurate. Implications: The identified correlates of programmer efficacy can be used for future research and practice (e.g., hiring). Future research should also consider efficacy as a group sampling method, rather than using simple experience measures. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI ; HCI design and evaluation methods.

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Section: Eeg Datamentioning

confidence: 99%