This year's Narrative and Hypertext workshop intends to explore how generative AI is changing narrative Hypertext, but the workshop is open to the impact of other new technological frontiers as well.
Unknown authors· Proceedings of the 37th ACM...· 0 citations
Read in such a light, it is shown that current TfT have rediscovered, unknowingly, ideas already known in the hypertext community, while remaining blind both to that prior art and to these alternative traditions.
Mark W. R. Anderson· Proceedings of the 37th ACM...· 0 citations
An expert-informed qualitative study based on semi-structured interviews with 19 participants, using reflexive thematic analysis, identifies three learning priorities: connected knowledge, cultural-emotional resonance, and sustained interest, and derives design considerations for GenAI-supported adaptive hypermedia for...
Unknown authors· Proceedings of the 37th ACM...· 0 citations
It is suggested that hypertext’s role in scaffolding structured thinking is amplified rather than diminished by generative AI, provided the system demands co-construction rather than consumption.
D. Millard· Proceedings of the 37th ACM...· 0 citations
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Abstract Debates on the cognitive impact of Generative AI often assume a homogeneous model of human cognition and focus on individual performance. AI’s epistemic authority in contemporary life raises concerns about the social conditions for democratic inquiry and human flourishing. Drawing on Dewey’s pragmatist concept...
This developmental paper offers methodological musings at the point when we want to embark on a journey of empirically researching a philosophically complex and methodologically elusive concept: connoisseurship. The three authors are interested in connoisseurship for different reasons and thus from different perspectiv...
Viktor Dörfler, Marc Stierand, Alina Bas· Strathprints: The University...· 0 citations
In animal farming, artificial intelligence (AI) is increasingly promoted as a means to enhance productivity, reduce greenhouse gas emissions, and improve animal welfare. However, discussion of the animal welfare risks arising from these technologies, particularly emerging generative AI and computer vision tools, remain...
Joshua Jarvis‐Campbell, Marina A.G. von Keyserlingk, Albert Didriksen et al.· Computers and Electronics in...· 0 citations
This final chapter argues that the future of AI in screen industries will be determined less by long-range predictions than by near-term governance, organizational choices and explicit values. It critiques glossy futurism and Artificial General Intelligence fixation for masking current impacts of applied systems on lab...
This poster was presented at the 30th Annual International Conference on Science and Technology Indicators (STI-ENID 2026), held in Antwerp, Belgium, 9–11 September 2026. The poster presents GAIDeT as an approach for moving from narrative generative AI-use disclosures towards structured, machine-readable research infor...
Serhii Nazarovets, Yana Suchikova, Natalia Tsybuliak et al.· Zenodo (CERN European Organi...· 0 citations
University teaching and development lack a shared vocabulary for deciding which generative-AI model fits which use. This paper proposes user-grounded fidelity probes (here, probe means a diagnostic task whose answer the user already holds, not linear probing of internal representations): a diagnostic method that measur...
Manabu Higashida· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.