Human mental workload: A survey and a novel inclusive definition

L Longo, CD Wickens, G Hancock… - Frontiers in …, 2022 - frontiersin.org
Human mental workload is arguably the most invoked multidimensional construct in Human
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …

Detecting emotions through electrodermal activity in learning contexts: A systematic review

A Horvers, N Tombeng, T Bosse, AW Lazonder… - Sensors, 2021 - mdpi.com
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …

A survey of machine learning techniques in physiology based mental stress detection systems

SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …

Ivie: Lightweight anchored explanations of just-generated code

L Yan, A Hwang, Z Wu, A Head - … of the 2024 CHI Conference on Human …, 2024 - dl.acm.org
Programming assistants have reshaped the experience of programming into one where
programmers spend less time writing and more time critically examining code. In this paper …

[HTML][HTML] What multimodal data can tell us about the students' regulation of their learning process?

S Järvelä, J Malmberg, E Haataja, M Sobocinski… - Learning and …, 2021 - Elsevier
Highlights•New data-capturing devices allow researchers trace a range of cognitive and
noncognitive processes.•We discuss and demonstrate how by data triangulating it is …

A practical guide on conducting eye tracking studies in software engineering

Z Sharafi, B Sharif, YG Guéhéneuc, A Begel… - Empirical Software …, 2020 - Springer
For several years, the software engineering research community used eye trackers to study
program comprehension, bug localization, pair programming, and other software …

Machine/deep learning for software engineering: A systematic literature review

S Wang, L Huang, A Gao, J Ge, T Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Eye movements in code reading: Relaxing the linear order

T Busjahn, R Bednarik, A Begel… - 2015 ieee 23rd …, 2015 - ieeexplore.ieee.org
Code reading is an important skill in programming. Inspired by the linearity that people
exhibit while natural language text reading, we designed local and global gaze-based …

I know what you did last summer-an investigation of how developers spend their time

R Minelli, A Mocci, M Lanza - 2015 IEEE 23rd international …, 2015 - ieeexplore.ieee.org
Develo** software is a complex mental activity, requiring extensive technical knowledge
and abstraction capabilities. The tangible part of development is the use of tools to read …

Stuck and frustrated or in flow and happy: Sensing developers' emotions and progress

SC Müller, T Fritz - 2015 IEEE/ACM 37th IEEE International …, 2015 - ieeexplore.ieee.org
Software developers working on change tasks commonly experience a broad range of
emotions, ranging from happiness all the way to frustration and anger. Research, primarily in …