Results 141 to 150 of about 659,301 (279)

Individual differences in aesthetic ability: The case for an Aesthetic Quotient

Frontiers in Psychology, 2016
Nils eMyszkowski, Franck eZenasni
doaj   +1 more source

Tracing Adaptive Transfer Across Genres and Media: GenAI‐Supported ESL Learners' Digital Multimodal Composing and Traditional Writing Practices

TESOL Quarterly, EarlyView.
Abstract Drawing on the adaptive transfer and the genre knowledge model as a conceptual framework, this research explores how English as a second language (ESL) learners transferred knowledge across genres (narration and argumentation) and media (print‐based writing and video) with the assistance of generative artificial intelligence (GenAI) platforms ...
Meilu Liu, Lawrence Jun Zhang, Donglan Zhang   +2 more
wiley   +1 more source

Aesthetic judgment of apparent motion: effects of movement smoothness, synchrony, and shape. [PDF]

Psychol Res
Monroy E, Orgs G.
europepmc   +1 more source

Propositionwise judgment aggregation [PDF]

In the theory of judgment aggregation, it is known for which agendas of propositions it is possible to aggregate individual judgments into collective ones in accordance with the Arrow-inspired requirements of universal domain, collective rationality ...
List Christian, Dietrich Franz
core  

Teacher Perceptions of GenAI‐Integrated Digital Storytelling for Refugee‐Background Youth

TESOL Quarterly, EarlyView.
Abstract Digital storytelling (DST), the composing of 2–3 minute first‐person digital multimodal narratives, integrating photographs, video clips, voice‐over, text, and music related to personal experiences, is arguably one of the most powerful forms of digital multimodal composing (DMC).
Amir Michalovich, Shawn Porteous
wiley   +1 more source

The association between perceived usefulness of AI-generated art tools and self-reported creative design performance: a parallel mediation model of artistic perception, cognitive engagement, and aesthetic judgment. [PDF]

Front Psychol
Guosheng Z, Lei M.
europepmc   +1 more source

The Effect of Art Expertise on Eye Fixation-Related Potentials During Aesthetic Judgment Task in Focal and Ambient Modes. [PDF]

Front Psychol, 2018
Fudali-Czyż A, Francuz P, Augustynowicz P.   +2 more
europepmc   +1 more source

Comprehensive Evaluation of AI Consent Forms in Otolaryngologic Surgery

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Surgical consent documents are frequently written at reading levels exceeding average health literacy. Large language models (LLMs) may offer a scalable approach to generating clearer, procedure‐specific consent forms. This study evaluated the clarity, clinical accuracy, and acceptability of consent forms generated by GPT‐4 and ...
Sholem Hack, Rebecca Attal, Armin Farzad, Lilia Ann Crew, Shmuel Silverstein, Jacob E. Karni, Nir Livneh, Shibli Alsleibi, Naseem Saleh, Ben Gvili, David Yogev, Eric Remer, Eran E. Alon, Gil Siegal, Masayoshi Takashima, Habib G. Zalzal   +15 more
wiley   +1 more source

Evaluating ChatGPT's Reliability in Analyzing Facial Asymmetry: A Comparative Study With Human Evaluators Using Cross Sectional Static Images

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Facial asymmetry assessment is often subjective and time intensive, thus we aim to evaluate reliability of ChatGPT in analyzing facial asymmetry compared to human raters. Methods Thirty patients with unilateral facial paralysis who underwent facial reanimation surgery were included in this study.
Ali B. Jafar, Malak Motair, Shahah Al Hajeri   +2 more
wiley   +1 more source

Disparities in AI‐Based Prior Authorization for Head and Neck Reconstruction: A Large Language Model Analysis

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Large language models (LLM) are being rapidly integrated into healthcare, particularly to streamline time‐ and labor‐intensive administrative processes. However, the potential for artificial intelligence (AI) systems to demonstrate bias when employed for insurance authorization remains poorly understood.
Shannon S. Wu, Mugil V. Shanmugam, Yu‐Jin Lee, Noel F. Ayoub   +3 more
wiley   +1 more source