Results 151 to 160 of about 255,554 (310)

Using artificial intelligence thanabots as “thanatobots” to assist anatomy learning and professional development: Ghosts masquerading as opportunity?

open access: yesAnatomical Sciences Education, EarlyView.
Thanabots—AI‐generated digital representations of deceased donors—could enhance anatomy education by linking medical history with anatomy and fostering humanistic engagement. However, their use poses ethical questions and carries psychological risks, including issues around consent, authenticity, and emotional harm.
Jon Cornwall, Sabine Hildebrandt
wiley   +1 more source

Development of a framework for implementing digital serious games in anatomy education: A single‐centre qualitative study

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Serious games are emerging as innovative tools in medical education, yet their adoption in anatomy teaching remains limited due to educator hesitancy, institutional constraints, and design challenges. This qualitative study explores the perspectives of anatomy educators on digital serious games and proposes a framework for their implementation.
Arthur Chin Haeng Lau, James Pickering
wiley   +1 more source

Journey to the East. What is happening in the Chinese audio description (AD) world?

open access: yes
A pesar de la existencia de la audiodescripción (AD) en China desde 2005, se sabe poco sobre cómo se lleva a cabo la AD en China debido a la escasez de estudios sobre este tema. Este artículo, basado en entrevistas semiestructuradas con seis proveedores chinos de AD de Shanghái, Wuxi y Guangzhou, tiene como objetivo reducir esta brecha de conocimiento ...
openaire   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million   +3 more
wiley   +1 more source

Information retrieval or document retrieval? Terminological confusions and unrealistic goals in information science, exemplified in relation to generative artificial intelligence

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract ChatGPT and related technologies have revived an old issue in information science (IS) concerning information retrieval (IR) versus document retrieval. Since 1950, the term IR has primarily been used as a misnomer for document retrieval. This problematic terminology reflects a desire to go beyond documents and provide, in response to user ...
Birger Hjørland
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

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