Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/105462
Título: | Can EEG Be Adopted as a Neuroscience Reference for Assessing Software Programmers' Cognitive Load? | Autor: | Medeiros, Júlio Couceiro, Ricardo Duarte, Gonçalo Durães, João Castelhano, João Duarte, Catarina Castelo-Branco, Miguel Madeira, Henrique Carvalho, Paulo de Teixeira, César |
Palavras-chave: | software engineering; bio-signal processing; electroencephalogram; biofeedback; human error | Data: | 27-Mar-2021 | Editora: | MDPI | Título da revista, periódico, livro ou evento: | Sensors | Volume: | 21 | Número: | 7 | Resumo: | An emergent research area in software engineering and software reliability is the use of wearable biosensors to monitor the cognitive state of software developers during software development tasks. The goal is to gather physiologic manifestations that can be linked to error-prone scenarios related to programmers' cognitive states. In this paper we investigate whether electroencephalography (EEG) can be applied to accurately identify programmers' cognitive load associated with the comprehension of code with different complexity levels. Therefore, a controlled experiment involving 26 programmers was carried. We found that features related to Theta, Alpha, and Beta brain waves have the highest discriminative power, allowing the identification of code lines and demanding higher mental effort. The EEG results reveal evidence of mental effort saturation as code complexity increases. Conversely, the classic software complexity metrics do not accurately represent the mental effort involved in code comprehension. Finally, EEG is proposed as a reference, in particular, the combination of EEG with eye tracking information allows for an accurate identification of code lines that correspond to peaks of cognitive load, providing a reference to help in the future evaluation of the space and time accuracy of programmers' cognitive state monitored using wearable devices compatible with software development activities. | URI: | https://hdl.handle.net/10316/105462 | ISSN: | 1424-8220 | DOI: | 10.3390/s21072338 | Direitos: | openAccess |
Aparece nas coleções: | I&D CISUC - Artigos em Revistas Internacionais I&D ICNAS - Artigos em Revistas Internacionais I&D CIBIT - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
Can-EEG-be-adopted-as-a-neuroscience-reference-for-assessing-software-programmers-cognitive-loadSensors.pdf | 5.51 MB | Adobe PDF | Ver/Abrir |
Citações SCOPUSTM
21
Visto em 7/out/2024
Citações WEB OF SCIENCETM
17
Visto em 2/out/2024
Visualizações de página
106
Visto em 8/out/2024
Downloads
46
Visto em 8/out/2024
Google ScholarTM
Verificar
Altmetric
Altmetric
Este registo está protegido por Licença Creative Commons