From the 3 of 129 papers with an AI index.
30 citations
- Centre National de la Recherche ScientifiqueFR41 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR38 papers
- Université Paris CitéFR38 papers
- California Institute of TechnologyUS37 papers
- National Institute for AstrophysicsIT37 papers
- Université Paris-SaclayFR37 papers
- CEA Paris-SaclayFR36 papers
- Istituto di Radioastronomia di BolognaIT36 papers
- University of GenevaCH36 papers
- Durham UniversityGB35 papers
- Leiden UniversityNL35 papers
- Max Planck Institute for AstronomyDE35 papers
9 papers · 1 filter
Speculating the Impacts of Mediated Social Touch Technology
Russian, Wu, Tim Moesgen +7
With growing research on haptic interfaces, Mediated Social Touch (MST) technologies offer the potential to record, synthesise, and reproduce (RSR) touch experiences across space a…
Point & Grasp: Flexible Selection of Out-of-Reach Objects Through Probabilistic Cue Integration
Xuejing Luo, Hee-Seung Moon, Christian Holz +1
Selecting out-of-reach objects is a fundamental task in mixed reality (MR). Existing methods rely on a single cue or deterministically fuse multiple cues, leading to performance de…
Adaptive Prompt Elicitation for Text-to-Image Generation
Xinyi Wen, Lena Hegemann, Xiaofu Jin +2
Aligning text-to-image generation with user intent remains challenging, as users frequently provide ambiguous inputs and struggle with model idiosyncrasies. We propose Adaptive Pro…
A Resource-Rational Principle for Modeling Visual Attention Control
Yunpeng Bai
Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task…
Relational Dissonance in Human-AI Interactions: The Case of Knowledge Work
Emrecan Gulay, Eleonora Picco, Enrico Glerean +1
When AI systems allow human-like communication, they elicit increasingly complex relational responses. Knowledge workers face a particular challenge: They approach these systems as…
The AI Memory Gap: Users Misremember What They Created With AI or Without
Tim Zindulka, Sven Goller, Daniela Fernandes +2
As large language models (LLMs) become embedded in interactive text generation, disclosure of AI as a source depends on people remembering which ideas or texts came from themselves…