Results 111 to 120 of about 9,872,649 (283)

The Human-AI Handshake Framework: A Bidirectional Approach to Human-AI Collaboration

open access: yesCoRR
Human-AI collaboration is evolving from a tool-based perspective to a partnership model where AI systems complement and enhance human capabilities. Traditional approaches often limit AI to a supportive role, missing the potential for reciprocal relationships where both human and AI inputs contribute to shared goals.
openaire   +3 more sources

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

Human-AI Collaboration in Academic Writing: towards a Synergy Model and A Case to Include AI as a Co-Author

open access: yes
As generative AI systems such as ChatGPT and Gemini 2.5 become increasingly integrated into academic workflows, the question of their legitimacy, limitations, and potential in scholarly writing has become urgent.
Jan Marius Keppel Hesselink
core   +1 more source

Collaborative Intelligence: A Scoping Review Of Current Applications

open access: yesApplied Artificial Intelligence
This review provides a novel examination of the emerging field of collaborative intelligence and demonstrates the value that human-AI teams can deliver. Humans and artificial intelligence (AI) systems have complementary strengths.
Emma Schleiger   +4 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Benefits and Challenges of Collaboration between Students and Conversational Generative Artificial Intelligence in Programming Learning: An Empirical Case Study

open access: yesEducation Sciences
The utilization of conversational generative artificial intelligence (Gen AI) in learning is often seen as a double-edged sword that may lead to superficial learning.
Wanxin Yan, Taira Nakajima, Ryo Sawada
doaj   +1 more source

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

open access: yesAdvanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir   +4 more
wiley   +1 more source

Quantitative assessment of collaboration [PDF]

open access: yes, 2010
Site de l'éditeur : http://www.iisi.de/international-reports-on-socio-informatics-irsi/This paper presents a short literature review of a research trend that endeavors to model collaboration by quantifying each group member‟s contribution. In such a view,
BUISINE, Stéphanie, Stéphanie Buisine
core  

Human-AI collaboration and the future of education

open access: yes
Artificial Intelligence (AI), including generative AI (GenAI), is rapidly transforming educational settings in many ways. To succeed in our today’s society, learners need to combine expertise and ideas, solve problems and create new knowledge in various ...
Näykki, Piia   +3 more
core   +1 more source

Operationalizing human–AI collaboration in city intelligence systems

open access: yesDiscover Cities
Cities face compounding shocks, however, many “smart city” initiatives stall because data and pilots do not translate into enforceable, revisable governance. This research conceptualizes City Intelligence Systems (CIS) as an ecosystem governance capacity
Xiuli Chen, Joohan Ryoo
doaj   +1 more source

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