Results 201 to 210 of about 10,320,823 (245)
Amphibious Movement of Microrobots Inspired by Water Spiders
Inspired by the water strider, a novel microrobot is designed to maintain amphibious mobility in complex environments. It retains the ability to traverse the air‐liquid interface and perform directional movement within sophisticated, multifaceted environments, including complex gastric wall structures, with precise controllability.
Xiao Hu +7 more
wiley +1 more source
Human-machine collaboration in managerial decision making
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 ...
Kim Dierckx +2 more
exaly +4 more sources
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Proceedings of the 2026 3rd International Conference on Informatics Education and Computer Technology Applications
This chapter examines the conceptual framework of artificial intelligence (AI) systems in the organisational context in terms of human-machine collaboration in three dimensions: supportive, collaborative, and autonomous AI models. A literature review integrates theoretical approaches on employee perceptions, acceptance and resistance processes, and the
Junhao Cheng +2 more
+4 more sources
This chapter examines the conceptual framework of artificial intelligence (AI) systems in the organisational context in terms of human-machine collaboration in three dimensions: supportive, collaborative, and autonomous AI models. A literature review integrates theoretical approaches on employee perceptions, acceptance and resistance processes, and the
Junhao Cheng +2 more
+4 more sources
Human-Machine Collaboration for Face Recognition
Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 2020Despite advances in deep learning and facial recognition techniques, the problem of fault-intolerant facial recognition remains challenging. With the current state of progress in the field of automatic face recognition and the in-feasibility of fully manual recognition, the situation calls for human-machine collaborative methods.
Saurabh Ravindranath +5 more
openaire +2 more sources
Human–machine collaboration in transcription
Journal of AI, Robotics & Workplace Automation, 2022As automatic speech recognition (ASR) has improved, it has become a viable tool for content transcription. Prior to the use of ASR for this task, content transcription was achieved through human effort alone. Despite improvements, ASR performance is as yet imperfect, especially in more challenging conditions (eg multiple speakers, noise, nonstandard ...
Corey Miller +2 more
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cBDI: Towards an Architecture for Human–Machine Collaboration
International Journal of Social Robotics, 2016Effective human–machine collaboration is a long standing problem within rehabilitation robotics. Machines that affect peer-to-peer interaction hold promise. Agents can serve as the basis for such machines. Belief–desire–intention (BDI) paradigm is used to achieve human-like intelligence. However, the BDI model does not emulate human-like qualities such
Adity Saikia, Shyamanta M. Hazarika
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Human-Machine Collaborative Systems for Microsurgical Applications
The International Journal of Robotics Research, 2005Human-machine collaborative systems (HMCSs) are systems that amplify or assist human capabilities during the performance of tasks that require both human judgment and robotic precision. We examine the design and performance of HMCSs in the context of microsurgical procedures such as vitreo-retinal eye surgery. Three specific problems considered are: (1)
Danica Kragic +4 more
openaire +1 more source
A Survey of Human-machine Collaboration in Fuzzing
2022 7th IEEE International Conference on Data Science in Cyberspace (DSC), 2022Qian Yan, Minhuan Huang, Huayang Cao
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HUMAN–MACHINE COLLABORATION (COBOTS)
Human–machine collaboration through collaborative robots (cobots) represents a paradigm shift in manufacturing, transitioning from isolated automation to integrated human-robot partnerships. This chapter comprehensively examines cobot technologies enabling Industry 4.0 and Industry 5.0 implementations, emphasizing safety, intelligence, and ...null Shraddha Shinde, +1 more
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