Results 1 to 10 of about 68,099 (157)
Human-Machine Collaboration for Medical Image Segmentation [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Image segmentation is a ubiquitous step in almost any medical image study. Deep learning-based approaches achieve state-of-the-art in the majority of image segmentation benchmarks. However, end-to-end training of such models requires sufficient annotation.
Mahdyar Ravanbakhsh +6 more
openaire +4 more sources
Engineering Human–Machine Teams for Trusted Collaboration [PDF]
Big Data and Cognitive Computing, 2020 The way humans and artificially intelligent machines interact is undergoing a dramatic change. This change becomes particularly apparent in domains where humans and machines collaboratively work on joint tasks or objects in teams, such as in industrial ...
Basel Alhaji +14 more
doaj +3 more sources
Human-machine collaboration: bringing artificial intelligence into colonoscopy [PDF]
Frontline Gastroenterology, 2018 Colorectal cancer (CRC) is the third most common malignancy worldwide. Colonoscopy offers protection against the development of CRC by detection and resection of neoplastic lesions. Unfortunately, the procedure remains highly operator dependent. A meta-analysis of tandem colonoscopy studies revealed a pooled miss rate of 22% for polyps of any size.1 ...
Omer F Ahmad +2 more
openaire +4 more sources
Human-machine collaboration in intelligence analysis: An expert evaluation [PDF]
Intelligent Systems with Applications, 2023 In this paper we illustrate how novel AI methods can improve the performance of intelligence analysts. These analysts aim to make sense of — often conflicting or incomplete — information, weighing up competing hypotheses which serve to explain an ...
Alice Toniolo +6 more
doaj +4 more sources
Human-machine collaboration in managerial decision making
Computers in Human Behavior, 2021 Abstract Although Artificial Intelligence (AI) has become a pervasive organizational phenomenon, it is still unclear if and when people are willing to cooperate with machines. We conducted five empirical studies (total N = 1025 managers). The results show that human managers do not want to exclude machines entirely from managerial decisions, but ...
Tessa Haesevoets +2 more
exaly +3 more sources
Designing for human-machine collaboration
Communication Design Quarterly, 2018 This study examines design aspects that shape human/machine collaboration between wearers of smart hearing aids and their networked aids. The Starkey Halo hearing aid and the TruLink iPhone app that facilitates real-time adjustments by the wearer offer a case study in designing for this sort of collaboration and for the wearer's rhetorical management ...
Krista Kennedy
exaly +2 more sources
Role reconstruction and competency requirements of emergency nurses in the human-machine collaborative mode: a qualitative study [PDF]
Frontiers in Public HealthObjectiveThis study aims to explore the role reconstruction characteristics and capability requirements of emergency nurses in the human-computer collaboration mode, providing experience and reference for improving the quality of nursing.MethodsA ...
Lina Chen +10 more
doaj +2 more sources
Human-Machine Collaboration: Definitions, Models, and Socio-Economic Impacts
International Journal of Crowd ScienceHuman-Machine Collaboration (HMC) is a pivotal manifestation of collective intelligence in the digital age, where the synergistic interaction of humans, machines, and physical systems drives socio-economic evolution.
Jin Sun, Leiju Qiu
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XAI Human-Machine collaboration applied to network security
Frontiers in Computer ScienceCyber attacking is easier than cyber defending—attackers only need to find one breach, while the defenders must successfully repel all attacks. This research demonstrates how cyber defenders can increase their capabilities by joining forces with ...
Steve Moyle +2 more
doaj +2 more sources
Advances in the application of human-machine collaboration in healthcare: insights from China [PDF]
Frontiers in Public HealthWang W, Liu L.
exaly +2 more sources