Results 111 to 120 of about 10,796,472 (313)

Injury Evaluation of Human-Robot Impacts [PDF]

open access: yes, 2008
Currently, large efforts are unertaken to bring robotic applications to domestic environments. Especially physical human-robot cooperation is a major concern and various design and control methodologies were developed on the way to achieve this task.
Hirzinger, Gerd   +9 more
core   +1 more source

15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction

open access: yes, 2022
International audienceRecent work identified a concerning trend of disproportional gender representation in research participants in Human-Computer Interaction (HCI).
Winkle, Katie   +7 more
core   +1 more source

Human-Robot Interaction [PDF]

open access: yesJournal of Robotics, 2018
Yunyi Jia   +4 more
openaire   +3 more sources

From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis

open access: yesArthritis Care &Research, EarlyView.
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss   +9 more
wiley   +1 more source

Head pose behavior in the Human-Robot Interaction space

open access: yes, 2014
Visual Focus of Attention is an important mechanism to support successful interactions. In order to communicate effectively and intentionally (issuing cues when a person is paying attention, for example), a robot must have an understanding of this Visual
Kirchner, N   +3 more
core   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

open access: yesArthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein   +3 more
wiley   +1 more source

Human Merging Behavior in a Coupled Driving Simulator: How Do We Resolve Conflicts?

open access: yesIEEE Open Journal of Intelligent Transportation Systems
Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap
Olger Siebinga   +2 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

"And then what happens?" Promoting Children’s Verbal Creativity Using a Robot

open access: yes, 2022
While creativity has been previously studied in Child-Robot interaction, the effect of regulatory focus on creativity skills has not been investigated. This paper presents an exploratory study that, for the first time, uses the Regulatory Focus Theory to
Paiva, Ana   +14 more
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

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