Introduction: The retrolabyrinthine approach provides shorter working distance and less cerebellar retraction compared with the retrosigmoid approach to the internal acoustic canal (IAC) and cerebellopontine angle cistern. However, exposure of the ventral surface of the brainstem and petroclival region may be restricted. Trautmann's triangle (TT), an area intimately related to this region, demonstrates significant anatomical variability, which may adversely affect the ease of the approach.
View Article and Find Full Text PDFUtilizing anthropomorphic features in industrial robots is a prevalent strategy aimed at enhancing their perception as collaborative team partners and promoting increased tolerance for failures. Nevertheless, recent research highlights the presence of potential drawbacks associated with this approach. It is still widely unknown, how anthropomorphic framing influences the dynamics of trust especially, in context of different failure experiences.
View Article and Find Full Text PDFObjective: This study's purpose was to better understand the dynamics of trust attitude and behavior in human-agent interaction.
Background: Whereas past research provided evidence for a perfect automation schema, more recent research has provided contradictory evidence.
Method: To disentangle these conflicting findings, we conducted an online experiment using a simulated medical X-ray task.
New measurements from the Arctic ± 40 days around the summer solstice show reflected sunlight from north of 80°N decreases 20-35%. Arctic sea ice coverage decreases 7-9% over this same time period (as reported by the NSIDC) implying Arctic sea ice albedo decreases in addition to the sea ice receding. Similar Antarctic measurements provide a baseline to which Arctic measurements are compared.
View Article and Find Full Text PDFImplementing anthropomorphic features to robots is a frequently used approach to create positive perceptions in human-robot interaction. However, anthropomorphism does not always lead to positive consequences and might trigger a more gendered perception of robots. More precisely, anthropomorphic features of robots seem to evoke a male-robot bias.
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