AIMC Topic: Cooperative Behavior
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Human factors considerations for the context-aware design of adaptive autonomous teammates.
Ergonomics
Jul 26, 2024
Despite the gains in performance that AI can bring to human-AI teams, they also present them with new challenges, such as the decline in human ability to respond to AI failures as the AI becomes more autonomous. This challenge is particularly dangero...
The Collaboverse: A Collaborative Data-Sharing and Speech Analysis Platform.
Journal of speech, language, and hearing research : JSLHR
Jul 12, 2024
PURPOSE: Collaboration in the field of speech-language pathology occurs across a variety of digital devices and can entail the usage of multiple software tools, systems, file formats, and even programming languages. Unfortunately, gaps between the la...
AI-teaming: Redefining collaboration in the digital era.
Current opinion in psychology
Jun 29, 2024
Integrating artificial intelligence (AI) into human teams, forming human-AI teams (HATs), is a rapidly evolving field. This overview examines the complexities of team constellations and dynamics, trust in AI teammates, and shared cognition within HAT...
HOTSPOT: An ad hoc teamwork platform for mixed human-robot teams.
PloS one
Jun 28, 2024
Ad hoc teamwork is a research topic in multi-agent systems whereby an agent (the "ad hoc agent") must successfully collaborate with a set of unknown agents (the "teammates") without any prior coordination or communication protocol. However, research ...
When performing actions with robots, attribution of intentionality affects the sense of joint agency.
Science robotics
Jun 26, 2024
Sense of joint agency (SoJA) is the sense of control experienced by humans when acting with others to bring about changes in the shared environment. SoJA is proposed to arise from the sensorimotor predictive processes underlying action control and mo...
GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks.
Neural networks : the official journal of the International Neural Network Society
Jun 18, 2024
Reinforcement learning aided by the skill conception exhibits potent capabilities in guiding autonomous agents toward acquiring meaningful behaviors. However, in the current landscape of reinforcement learning, a skill is often merely a rudimentary a...
Individual and team profiling to support theory of mind in artificial social intelligence.
Scientific reports
Jun 2, 2024
We describe an approach aimed at helping artificial intelligence develop theory of mind of their human teammates to support team interactions. We show how this can be supported through the provision of quantifiable, machine-readable, a priori informa...
How does the status of errant robot affect our desire for contact? - The moderating effect of team interdependence.
Ergonomics
May 23, 2024
Technological breakthroughs such as artificial intelligence and sensors make human-robot collaboration a reality. Robots with highly reliable, specialised skills gain informal status in collaborative teams, but factors such as unstructured work envir...
Collaborative hunting in artificial agents with deep reinforcement learning.
eLife
May 7, 2024
Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed to be an advanced hunting strategy requiring large brains that involve high-level cognition. However, recent findings th...
Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly task.
Applied ergonomics
May 6, 2024
The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another human (H/H) a...
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