The AI Interface: Designing for the Ideal Machine-Human Experience DOI
Aparna Sundar, Tony Russell‐Rose, Udo Kruschwitz

et al.

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 108539 - 108539

Published: Dec. 1, 2024

Language: Английский

How does AI affect the self-actualization of content creators in dynamic environments? A knowledge management perspective DOI
Mingsheng Wang,

Yongzhong Yang,

Pauline Zhong

et al.

Technology in Society, Journal Year: 2025, Volume and Issue: unknown, P. 102855 - 102855

Published: Feb. 1, 2025

Language: Английский

Citations

0

Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways DOI Creative Commons
Raghu Raman, Robin M. Kowalski, Krishnashree Achuthan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 11, 2025

This study examines the imperative to align artificial general intelligence (AGI) development with societal, technological, ethical, and brain-inspired pathways ensure its responsible integration into human systems. Using PRISMA framework BERTopic modeling, it identifies five key shaping AGI's trajectory: (1) societal integration, addressing broader impacts, public adoption, policy considerations; (2) technological advancement, exploring real-world applications, implementation challenges, scalability; (3) explainability, enhancing transparency, trust, interpretability in AGI decision-making; (4) cognitive ethical considerations, linking evolving architectures frameworks, accountability, consequences; (5) systems, leveraging neural models improve learning efficiency, adaptability, reasoning capabilities. makes a unique contribution by systematically uncovering underexplored themes, proposing conceptual that connects AI advancements practical multifaceted technical, challenges of development. The findings call for interdisciplinary collaboration bridge critical gaps governance, alignment while strategies equitable access, workforce adaptation, sustainable integration. Additionally, highlights emerging research frontiers, such as AGI-consciousness interfaces collective offering new integrate human-centered applications. By synthesizing insights across disciplines, this provides comprehensive roadmap guiding ways balance innovation responsibilities, advancing progress well-being.

Language: Английский

Citations

0

Advancing Gait Analysis: Integrating Multimodal Neuroimaging and Extended Reality Technologies DOI Creative Commons
Vera Gramigna, Arrigo Palumbo,

Giovanni Di Perri

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 313 - 313

Published: March 19, 2025

The analysis of human gait is a cornerstone in diagnosing and monitoring variety neuromuscular orthopedic conditions. Recent technological advancements have paved the way for innovative methodologies that combine multimodal neuroimaging eXtended Reality (XR) technologies to enhance precision applicability analysis. This review explores state-of-the-art solutions an advanced approach, multidisciplinary concept integrates neuroimaging, extended reality technologies, sensor-based methods study locomotion. Several wearable modalities such as functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG), commonly used monitor analyze brain activity during walking explore neural mechanisms underlying motor control, balance, adaptation, were considered. XR including virtual, augmented, mixed reality, enable creation immersive environments analysis, real-time simulation, movement visualization, facilitating comprehensive assessment locomotion its biomechanical dynamics. approach enhances understanding by examining both cerebral aspects, offering insights into brain–musculoskeletal coordination. We highlight potential provide real-time, high-resolution data improved clinical decision-making rehabilitation strategies. Additionally, we address challenges integrating these fusion, computational demands, scalability. concludes proposing future research directions leverage artificial intelligence further optimize imaging applications ultimately driving their translation from laboratory settings practice. synthesis underscores transformative approaches personalized medicine patient outcomes.

Language: Английский

Citations

0

The AI Interface: Designing for the Ideal Machine-Human Experience DOI
Aparna Sundar, Tony Russell‐Rose, Udo Kruschwitz

et al.

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 108539 - 108539

Published: Dec. 1, 2024

Language: Английский

Citations

1