Institut Mensch in komplexen Systemen

Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/3

Listen

Filter

2019 - 20202

Einstellungen

Autor:in: search.filters.author.Beckerle, PhilippDateien dazu vorhanden?: Ja

Ergebnisse nach Hochschule und Institut

Gerade angezeigt 1 - 2 von 2
  • Vorschaubild
    Publikation
    Embodiment, Presence, and Their Intersections: Teleoperation and Beyond
    (ACM, 05/2020) Christ, Oliver; Beckerle, Philipp; Abbink, David A.; Nostadt, Nicolas
    Subjective experience of human control over remote, artificial, or virtual limbs has traditionally been investigated from two separate angles: presence research originates from teleoperation, aiming to capture to what extent the user feels like actually being in the remote or virtual environment. Embodiment captures to what extent a virtual or artificial limb is perceived as one’s own limb. Unfortunately, the two research fields have not interacted much. This survey intends to provide a coherent overview of the literature at the intersection of these two fields to further that interaction. Two rounds of systematic research in topic-related databases resulted in 414 related articles, 14 of which satisfy the deliberately strict inclusion criteria: 2 theoretical frameworks that highlighted intersections and 12 experimental studies that evaluated subjective measures for both concepts. Considering the surrounding literature as well, theoretical and experimental potential of embodiment and presence are discussed and suggestions to apply them in teleoperation research are derived.While increased publication activity is observed between 2016 and 2018, potentially caused by affordable virtual reality technologies, various open questions remain. To tackle them, human-in-the-loop experiments and three guiding principles for teleoperation system design (mechanical fidelity, spatial bodily awareness,and self-identification) are suggested
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    The Bayesian causal inference model benefits from an informed prior to predict proprioceptive drift in the rubber foot illusion
    (Springer, 21.08.2019) Schürmann, Tim; Vogt, Joachim; Christ, Oliver; Beckerle, Philipp
    Bayesian cognitive modeling has become a prominent tool for the cognitive sciences aiming at a deeper understanding of the human mind and applications in cognitive systems, e.g., humanoid or wearable robotics. Such approaches can capture human behavior adequately with a focus on the crossmodal processing of sensory information. We investigate whether the Bayesian causal inference model can estimate the proprioceptive drift observed in empirical studies.
    01A - Beitrag in wissenschaftlicher Zeitschrift