Hochschule für Gestaltung und Kunst Basel FHNW

Dauerhafte URI für den Bereichhttps://irf.fhnw.ch/handle/11654/11

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2021 - 20232

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    Publikation
    Black box. On digital media and attention in post-industrial society
    (Hochschule für Gestaltung und Kunst Basel FHNW, 2023) Muscheidt, Boris; López, Paloma; Hollaus, Invar Torre; Bircher, Thomas
    Black Box takes the form of an audiovisual installation, specifically of the interaction interface itself. The controller acts as an intransparent operative mechanism for accessing six individual and loop-based video works, which are then displayed on a vertical screen, while audio is transmitted via headphones. The series is segmented into pairs of two, with each pair representing a concept of perspective: into the medium, out of the medium and an outer view. The employed research method draws from artistic works, but also concepts of political theory and sociology that are seeking to analyse emergent forms of digital capitalism. The video works employ methods of live-action video, 2D animation, coding and sound design to illustrate various aspects of human-digital interaction. One central focus lies in displaying a novel form of alienation: creating a dialogue between the rational/neutral aesthetic of digitality and the irrationality of the human psyche along with the challenges of daily life.
    11 - Studentische Arbeit
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    Publikation
    The Algorithms of Mindfulness
    (SAGE, 22.06.2021) Bruder, Johannes
    This paper analyzes notions and models of optimized cognition emerging at the intersections of psychology, neuroscience, and computing. What I somewhat polemically call the algorithms of mindfulness describes an ideal that determines algorithmic techniques of the self, geared at emotional resilience and creative cognition. A reframing of rest, exemplified in corporate mindfulness programs and the design of experimental artificial neural networks sits at the heart of this process. Mindfulness trainings provide cues as to this reframing, for they detail each in their own way how intermittent periods of rest are to be recruited to augment our cognitive capacities and combat the effects of stress and information overload. They typically rely on and co-opt neuroscience knowledge about what the brains of North Americans and Europeans do when we rest. Current designs for artificial neural networks draw on the same neuroscience research and incorporate coarse principles of cognition in brains to make machine learning systems more resilient and creative. These algorithmic techniques are primarily conceived to prevent psychopathologies where stress is considered the driving force of success. Against this backdrop, I ask how machine learning systems could be employed to unsettle the concept of pathological cognition itself.
    01A - Beitrag in wissenschaftlicher Zeitschrift