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  1. Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces.Nicolina Sciaraffa, Gianluca Di Flumeri, Daniele Germano, Andrea Giorgi, Antonio Di Florio, Gianluca Borghini, Alessia Vozzi, Vincenzo Ronca, Fabio Babiloni & Pietro Aricò - 2022 - Frontiers in Human Neuroscience 16.
    Technologies like passive brain-computer interfaces can enhance human-machine interaction. Anyhow, there are still shortcomings in terms of easiness of use, reliability, and generalizability that prevent passive-BCI from entering real-life situations. The current work aimed to technologically and methodologically design a new gel-free passive-BCI system for out-of-the-lab employment. The choice of the water-based electrodes and the design of a new lightweight headset met the need for easy-to-wear, comfortable, and highly acceptable technology. The proposed system showed high reliability in both laboratory and (...)
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  • Neuroadaptive Technology and the Self: a Postphenomenological Perspective.Stephen Fairclough - 2023 - Philosophy and Technology 36 (2):1-17.
    Neuroadaptive technology (NAT) is a closed-loop neurotechnology designed to enhance human–computer interaction. NAT works by collecting neurophysiological data, which are analysed via autonomous algorithms to create actions and adaptations at the user interface. This paper concerns how interaction with NAT can mediate self-related processing (SRP), such as self-awareness, self-knowledge, and agency. We begin with a postphenomenological analysis of the NAT closed loop to highlight the built-in selectivities of machine hermeneutics, i.e., autonomous chains of algorithms that convert data into an assessment (...)
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  • EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications.Gianluca Di Flumeri, Vincenzo Ronca, Andrea Giorgi, Alessia Vozzi, Pietro Aricò, Nicolina Sciaraffa, Hong Zeng, Guojun Dai, Wanzeng Kong, Fabio Babiloni & Gianluca Borghini - 2022 - Frontiers in Human Neuroscience 16.
    Human errors are widely considered among the major causes of road accidents. Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and permanent injuries are directly related to mental tiredness, fatigue, and drowsiness of the drivers. In particular, driving drowsiness is recognized as a crucial aspect in the context of road safety, since drowsy drivers can suddenly lose control of the car. Moreover, the driving drowsiness episodes mostly appear suddenly without any prior behavioral evidence. The present (...)
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  • Cognitive Modeling of Anticipation: Unsupervised Learning and Symbolic Modeling of Pilots' Mental Representations.Sebastian Blum, Oliver Klaproth & Nele Russwinkel - 2022 - Topics in Cognitive Science 14 (4):718-738.
    The ability to anticipate team members' actions enables joint action towards a common goal. Task knowledge and mental simulation allow for anticipating other agents' actions and for making inferences about their underlying mental representations. In human–AI teams, providing AI agents with anticipatory mechanisms can facilitate collaboration and successful execution of joint action. This paper presents a computational cognitive model demonstrating mental simulation of operators' mental models of a situation and anticipation of their behavior. The work proposes two successive steps: (1) (...)
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