Distributed Remote EEG Data Collection for NeuroIS Research: A Methodological Framework

Demazure, Théophile; Karran, Alexander J.; Boasen, Jared; Léger, Pierre‐Majorique; Sénécal, Sylvain

doi:10.1007/978-3-030-78114-9_1

Cited by 4 publications

(2 citation statements)

References 65 publications

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“…In the context of a global pandemic, Demazure et al (2021) creatively devised a way of conducting remote EEG data collection that increases the ecological validity, although at the cost of some internal validity. Their framework, which includes thorough training, guides this remote data collection.…”

Section: Designing a Research Program With Complementary Neurophysiol...mentioning

confidence: 99%

Embracing brain and behaviour: Designing programs of complementary neurophysiological and behavioural studies

Kirwan

Vance

Jenkins

et al. 2022

Information Systems Journal

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NeuroIS-the methods and knowledge of neuroscience applied to the information systems (IS) domain-has become an established research field within the IS discipline. A key advantage of NeuroIS is its ability to provide insights into human cognition beyond those obtained using behavioural techniques alone. Nevertheless, in neuroscience, there is renewed interest in examining behaviour together with neurophysiological methods to better inform our understanding of neural processes. In this research opinion article, we argue that in the field of NeuroIS, there is an opportunity for hybrid programs of study that combine neurophysiological and behavioural methods in a complementary manner. We outline four strategies for designing complementary neurophysiological and behavioural experiments in a research program: (1) observe the relationship between neural processes and behavioural change; (2) combine neurophysiological and behavioural methods to enhance internal, external, and ecological validity; (3) extend, rather than replicate, experiments based on theory; and (4) use neurophysiological and behavioural experiments together to evaluate IT artefact design. By applying these strategies, researchers can more effectively design programs using

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Section: Designing a Research Program With Complementary Neurophysiol...mentioning

confidence: 99%

Embracing brain and behaviour: Designing programs of complementary neurophysiological and behavioural studies

Kirwan

Vance

Jenkins

et al. 2022

Information Systems Journal

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“…In such a scenario, the platform advises the participants to adjust the Muse fitting to improve the connection and to go through the signal quality check once again. Additionally, guarantee good data quality for remote EEG data collection, we have adopted most of the experimental infrastructure recommendations, such as using a low-density, consumer-grade, wireless, dry EEG device (Muse), using API for EEG data acquisition along with open-source software for time-synchronization and stimuli presentation (MuseLSL + native experiment design) suggested by Demazure et al [17].As Musejs only gives access to the raw signals coming from Muse, we apply additional processing to it to ensure that each timestamp is accompanied by its corresponding data value. The processing also helps in ensuring that the Muse maximum sampling rate of 256Hz is utilized.…”

Section: Solution For Ensuring the Eeg Data Obtained From The Platfor...mentioning

confidence: 99%

Sans Tracas: A Cross-platform Tool for Online EEG Experiments.

Desai

Orji

Roudaia

et al. 2022

Companion of the 2022 ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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Driven by a desire to democratize electroencephalography (EEG) research, we created Sans Tracas -a cross-platform web application for running EEG experiments online. A collaborative effort between cognitive neuroscientists and HCI researchers, the platform is designed via a multidisciplinary lens to be easy to use by researchers and study participants alike. For researchers, the platform allows users to augment any behavioural study deployed on online platforms with EEG data recordings from the commercially-available InteraXon Muse EEG device. For end-users who have access to the Muse, the platform is focused on having them perform entire EEG studies on their own from the comfort of their homes. We conducted a pilot study to test the usability of our developed platform. The results suggest that participants found the platform easy to use, useful, and had fun participating in EEG experiments independently and are now more interested in EEG and Brain Computer Interface (BCI) research than before. We contribute to HCI by presenting the design, development, and preliminary evaluation of a cross-platform application that allows users to conduct EEG experiments online using low-cost, commercially-available devices. This platform is a first step towards enabling greater access to research involving electroencephalography around the world. CCS CONCEPTS• Human-centered computing; • Human computer interaction (HCI); • HCI design and evaluation methods; • Usability testing; Laboratory experiments; User studies.; • Interaction paradigms; • Web-based interaction; Graphical user interfaces.;

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The View of Participants on the Potential of Conducting NeuroIS Studies in the Wild

Greif-Winzrieth

Peukert²,

Toreini³

et al. 2022

Information Systems and Neuroscience

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Distributed Remote EEG Data Collection for NeuroIS Research: A Methodological Framework

Cited by 4 publications

References 65 publications

Embracing brain and behaviour: Designing programs of complementary neurophysiological and behavioural studies

Embracing brain and behaviour: Designing programs of complementary neurophysiological and behavioural studies

Sans Tracas: A Cross-platform Tool for Online EEG Experiments.

The View of Participants on the Potential of Conducting NeuroIS Studies in the Wild

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