3,251 research outputs found
Voyage of the Northern Light : newspaper reports and articles.
No full textCover title.; For private circulation only.; Contains typescript copy of a letter from the author to the Daily telegraph.; Library's N copy is inscribed "To the Editor Bulletin, Joshua Slocum ... Strictly private". ANL; Electronic reproduction. Canberra, A.C.T. : National Library of Australia, 2009
Joshua Davis: Author of Spare Parts
No full textCitation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University
A Controllable and Repeatable Method to Study Perceptual and Motor Adaptation in Human-Robot Interaction
No full text<p>Human perception and motion are continuously influenced by prior experience. However, when humans have to share the same space and time, different previous experience could lead towards opposite percepts and actions, consequently failing in coordination. This study presents a novel experimental setup that aims at exploring the interplay between human perceptual mechanisms and motor strategies during human-robot interaction. To achieve this goal, we developed a complex system to enable the realization of an interactive perceptual task, where the participant has to perceive and estimate temporal durations together with iCub, with the goal of coordinating with the robotic partner. Results show that the experimental setup continuously monitor how participants implement their perceptual and motor behavior during the interaction with a controllable interacting agent. Therefore, it will be possible to produce quantitative models describing the interplay between perceptual and motor adaptation during an interaction.</p>
A pilot study towards the implementation of perceptual and motor adaptation in robots
No full textThe aim of our study is to understand the
perceptual and motor mechanisms of adaptation underlying
human-robot interaction. Our long-term goal is to develop
novel models of adaptation that could be implemented in robots
to enhance human-robot collaboration. Realizing adaptive
robots would be fundamental not only in the biomedical field for
assistance and rehabilitation, but also in industrial settings to
improve human-robot cooperation. In the current paper, we
present a pilot experiment aimed at exploring perceptual and
motor strategies adopted by participants who try to adapt their
perception to that of a robot with different prior sensory
experience
Enhancing human-AI collaboration: The case of colonoscopy
No full textDiagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows promise in mitigating this burden by supporting Medical Doctors in decision-making. However, the mere display of excellent or even superhuman performance by AI in specific tasks does not guarantee a positive impact on medical practice. Effective AI assistance should target the primary causes of human errors and foster effective collaborative decision-making with human experts who remain the ultimate decision-makers. In this narrative review, we apply these principles to the specific scenario of AI assistance during colonoscopy. By unraveling the neurocognitive foundations of the colonoscopy procedure, we identify multiple bottlenecks in perception, attention, and decision-making that contribute to diagnostic errors, shedding light on potential interventions to mitigate them. Furthermore, we explored how existing AI devices fare in clinical practice and whether they achieved an optimal integration with the human decision-maker. We argue that to foster optimal Human-AI collaboration, future research should expand our knowledge of factors influencing AI's impact, establish evidence-based cognitive models, and develop training programs based on them. These efforts will enhance human-AI collaboration, ultimately improving diagnostic accuracy and patient outcomes. The principles illuminated in this review hold more general value, extending their relevance to a wide array of medical procedures and beyond
Indigeous author talk
No full textA unique online author event celebrating the diversity of literature created by and for Two-Spirit and Indigiqueer people. This event features writers and creators T’áncháy Redvers and Joshua Whitehead in conversation with host Taya Jardine.Other UBCNon UBCUnreviewedOthe
Hebrew made easy [electronic resource] : or, a brief introduction to the Hebrew grammar, (upon a new and delightful plan); Whereby our British Gentlemen and Ladies may, in so very short a Time as Twenty-Four Days, learn the most necessary and essential Variations of that incomparable Language, without the Help of the Latin, or the Assistance of a Master. The second edition, with additions. By the author of The great importance of the Hebrew language.
No full textThe author of "The great importance of the Hebrew language" = Joshua Kettilby.Kettilby's 'Hebrew made easy' was first published in [1760?] (c.f.t123545). 'The excellency and great importance of the Hebrew language ... by Joshua Kettilby, author of Hebrew made easy' was published in 1762 (c.f.t183663)Electronic reproduction.English Short Title Catalog,Reproduction of original from Bodleian Library (Oxford)
Can a Robot's Hand Bias Human Attention?
No full textPrevious studies have revealed that humans prioritize attention to the space near their hands (the so-called near-hand effect). This effect may also occur towards a human partner's hand, but only after sharing a physical joint action. Hence, in human dyads, interaction leads to a shared body representation that may influence basic attentional mechanisms. Our project investigates whether a collaborative interaction with a robot might similarly influence attention. To this aim, we designed an experiment to assess whether the mere presence of a robot with an anthropomorphic hand could bias the human partner's attention. We replicated a classical psychological paradigm to measure this attentional bias (i.e., the near-hand effect) by adding a robotic condition. Preliminary results found the near-hand effect when performing the task with the self-hand near the screen, leading to shorter reaction times on the same side of the hand. On the contrary, we found no effect on the robot's hand in the absence of previous collaborative interaction with the robot, in line with studies involving human partners
Reply to Joshua Meltzer
No full textA reply to Joshua Meltzer\u27s comment on the author\u27s paper Bridging Fragmentation and Unity: International Law as a Universe of Inter-Connected Island
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