Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions

R Riedl - Electronic Markets, 2022 - Springer
Artificial intelligence (AI) refers to technologies which support the execution of tasks normally
requiring human intelligence (eg, visual perception, speech recognition, or decision …

What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions.

M Nadj, R Rissler, MTP Adam, MT Knierim… - MIS …, 2023 - search.ebscohost.com
Flow, the holistic sensation people experience when they act with total involvement, is a
known driver for desired work outcomes like task performance. However, the increasing …

Efficacy of neurofeedback training for improving attentional performance in healthy adults: A systematic review and meta-analysis

I Kimura, H Noyama, R Onagawa, M Takemi… - Imaging …, 2024 - direct.mit.edu
This systematic review and meta-analysis examined the neurofeedback training (NFT)
effects on attentional performance in healthy adults. Six databases were searched until June …

Getting Around to It: How Design Science Researchers Set Future Work Agendas

J Barata, P Rupino da Cunha - … Asia Journal of the Association for …, 2023 - aisel.aisnet.org
Background: There is a long tradition of writing about future work in research papers, and
information systems design science research (IS DSR) is no exception. However, there is a …

Enhancing learning experiences: EEG-based passive BCI system adapts learning speed to cognitive load in real-time, with motivation as catalyst

N Beauchemin, P Charland, A Karran… - Frontiers in Human …, 2024 - frontiersin.org
Computer-based learning has gained popularity in recent years, providing learners greater
flexibility and freedom. However, these learning environments do not consider the learner's …

Enhancing operator engagement during AI-assisted manufacturing work using optimal state deviation feedback system

L Couture, M Passalacqua, L Joblot, F Magnani… - 2024 - sam.ensam.eu
The integration of Artificial Intelligence (AI) in manufacturing is shifting the focus of operators
from manual labor to cognitive supervision roles. While this transition demands more …

Neuroergonomics for Human-Centered Technological Contexts

G Barresi - Digital Environments and Human Relations, 2024 - Springer
Enabling technologies constitute key milestones for humankind, expanding the capabilities
of individuals and societies. Such a disruptive impact can also shape the perspective of any …

for Cognitive State Estimation, Development Overview and Study in Progress

N Beauchemin, AJ Karran, J Boasen… - Information Systems …, 2024 - books.google.com
Cognitive load management is important in successful learning, referring to working memory
and other factors related to accomplishing instructional tasks. Cognitive overload and …

Zweck und Ziele der Wirtschaftsinformatik

A Heinzl, A Mädche, R Riedl - Wirtschaftsinformatik: Einführung und …, 2024 - Springer
Im zweiten Kapitel wurden die Erkenntnisgewinnung (Beschreibung, Erklärung) und
Erkenntnisverwertung (Gestaltung, Prognose) als Wissenschaftsziele vorgestellt, also Ziele …

Adaptive System to Enhance Operator Engagement during Smart Manufacturing Work

L Couture, M Passalacqua, L Joblot, F Magnani… - Sensors & …, 2024 - hal.science
Sustaining optimal task engagement is becoming vital in smart factories, where
manufacturing operators' roles are increasingly shifting from hands-on machinery tasks to …