Results 121 to 130 of about 8,960,514 (293)

Unlocking the potential of cell‐permeable nanobodies for intracellular applications

FEBS Letters, EarlyView.
This review outlines current strategies for delivery of nanobodies into cells and highlights recent examples of functional applications. By addressing and manipulating intracellular targets, these molecules hold great potential for treating cancer, respiratory diseases and neurological disorders, making this a vibrant area of research in the biomedical
Mariona Gené‐Verdés, Luise Franz, Christian P.R. Hackenberger   +2 more
wiley   +1 more source

Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot

, 2014
Chiovetto E, Mukovskiy A, Reinhart F, et al. Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot. Perception. 2014;43(Suppl.
Khansari-Zadeh, Seyed Mohammad, Billard, Aude, Reinhart, Felix, Steil, Jochen J., Chiovetto, Enrico, Giese, Martin, Mukovskiy, Albert   +6 more
core  

Editorial: The Uncanny Valley Hypothesis and beyond

Frontiers in Psychology, 2017
Marcus Cheetham, Marcus Cheetham, Marcus Cheetham   +2 more
doaj   +1 more source

Reputation through artificial intelligence? On the effectiveness of virtual influencers as spokespersons in corporate crisis communication

Frontiers in Communication
With virtual social media influencers, a new form of brand ambassador has established itself on social networks. In our study, we look at the extent to which they are also suitable as spokespersons after a corporate crisis.
Zoe Olbermann, Magdalena Nagl
doaj   +1 more source

How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome

FEBS Letters, EarlyView.
In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini, Freia S. Buus, Benjamin Schuler, Birthe B. Kragelund   +3 more
wiley   +1 more source

More human-likeness, more trust? The effect of anthropomorphism on self-reported and behavioral trust in continued and interdependent human-agent cooperation

, 2019
Kulms P, Kopp S. More human-likeness, more trust? The effect of anthropomorphism on self-reported and behavioral trust in continued and interdependent human-agent cooperation.
Kopp, Stefan ; https://orcid.org/, Kulms, Philipp   +1 more
core  

Perceptual adaptation to human-likeness in voices

With synthetic voices now being a part of everyday life, it is important to understand how the perception of synthetic voices is shaped and modified through exposure.
Stefan R. Schweinberger, Ibrahim Vefa Arslan, Christine Nussbaum, Sebastian Goerke   +3 more
core   +1 more source

What can functional transcranial Doppler ultrasonography reveal about the cerebral lateralization of writing

FEBS Letters, EarlyView.
Which brain hemisphere controls writing? This review synthesizes all five functional transcranial Doppler studies of writing (handwriting and typing) published to date in adults and children. Right‐handers show left‐hemispheric dominance for the linguistic component of writing (written word generation), whereas findings for left‐handers remain ...
Marietta Papadatou‐Pastou
wiley   +1 more source

Uncanny valley effect: Research on the impact of digital human appearance on learners in a multi-agent collaborative learning environment

Educational Technology & Society
The integration of large language models and digital humans in multi-agent collaborative learning creates tension between technological advancement and human-centered design.
Jian Liao, Hui Li, Yaping Zuo, Linrong Zhong, Ming Liu, Tao Xie and Geping Liu
doaj   +1 more source

On Benchmarking Human-like Intelligence in Machines

Open Mind
Abstract Recent advances in Artificial Intelligence (AI) have yielded powerful computational models that, by learning from vast amounts of human-generated data, are increasingly posited as approximate models of human cognition. However, we argue that many current evaluation paradigms for AI are insufficient for assessing human-like ...
Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum   +8 more
openaire   +3 more sources