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Titlebook: Information Systems and Neuroscience; NeuroIS Retreat 2022 Fred D. Davis,René Riedl,Gernot R. Müller-Putz Conference proceedings 2022 The E

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41#
發(fā)表于 2025-3-28 17:07:07 | 只看該作者
42#
發(fā)表于 2025-3-28 19:44:15 | 只看該作者
Flow in Knowledge Work: An Initial Evaluation of Flow Psychophysiology Across Three Cognitive Tasksork-related situations by observing flow emergence across three controlled tasks. In a pretest, we manipulated the type and difficulty of task and recorded subjective (self-reports) as well as objective (EEG features) measures of flow and mental effort. Results indicate that a novel text typing task
43#
發(fā)表于 2025-3-29 02:53:54 | 只看該作者
Biosignal-Based Recognition of Cognitive Load: A Systematic Review of Public Datasets and Classifie (IS) which react to the user’s current state of cognitive load has increased. However, its measurement through surveys is cumbersome and impractical. Alternatively, it was shown that by collecting biosignals and analysing them with supervised machine learning, it is possible to recognize cognitive
44#
發(fā)表于 2025-3-29 06:31:02 | 只看該作者
Enhancing Wireless Non-invasive Brain-Computer Interfaces with an Encoder/Decoder Machine Learning , electroencephalographic brain-computer interface systems while maintaining data integrity and increasing the speed of transmission. This paper uses machine learning techniques to develop an encoder/decoder pair. The encoder learns the important information from the analog signal, reducing the amou
45#
發(fā)表于 2025-3-29 08:33:18 | 只看該作者
46#
發(fā)表于 2025-3-29 12:16:42 | 只看該作者
47#
發(fā)表于 2025-3-29 15:46:00 | 只看該作者
48#
發(fā)表于 2025-3-29 20:00:15 | 只看該作者
Recognizing Polychronic-Monochronic Tendency of Individuals Using Eye Tracking and Machine Learningd that eye movement analysis using machine learning algorithms also represents a promising approach to recognize user characteristics and states as a foundation for designing neuro-adaptive information systems. Polychronicity, an individual’s attitude towards multitasking work, is a user characteris
49#
發(fā)表于 2025-3-30 01:50:15 | 只看該作者
50#
發(fā)表于 2025-3-30 06:35:19 | 只看該作者
Is Our Ability to Detect Errors an Indicator of Mind Wandering? An Experiment Proposal, are difficult to measure objectively. In this paper, we describe work-in-progress to address this problem in a novel way. We describe two studies that will observe participants’ ability to detect errors in a task as a correlate of mind wandering. Demonstrating the technique using a lecture paradigm
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