4.3k citations
- University of TurkuFI233 papers
- Centre National de la Recherche ScientifiqueFR230 papers
- California Institute of TechnologyUS199 papers
- University of HelsinkiFI198 papers
- Université Paris CitéFR168 papers
- Helsinki Institute of PhysicsFI162 papers
- Sorbonne UniversitéFR158 papers
- Istituto di Radioastronomia di BolognaIT157 papers
- Leiden UniversityNL136 papers
- University College LondonGB136 papers
- Technical University of DenmarkDK135 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR134 papers
10 papers · 2 filters
Designing Intent Communication for Agent-Human Collaboration
Yi Li, Francesco Chiossi, Helena Anna Frijns +6
As autonomous agents, from self-driving cars to virtual assistants, become increasingly present in everyday life, safe and effective collaboration depends on human understanding of…
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
Yunhao Yuan, Jiaxun Zhang, Talayeh Aledavood +2
AI-powered companion chatbots (AICCs) such as Replika are increasingly popular, offering empathetic interactions, yet their psychosocial impacts remain unclear. We examined how eng…
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…
Mind & Motion: Opportunities and Applications of Integrating Biomechanics and Cognitive Models in HCI
Arthur Fleig, Florian Fischer, Markus Klar +5
Computational models of how users perceive and act within a virtual or physical environment offer enormous potential for the understanding and design of user interactions. Cognitio…
DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition
Danqing Shi, Furui Cheng, Tino Weinkauf +2
Human preferences are widely used to align large language models (LLMs) through methods such as reinforcement learning from human feedback (RLHF). However, the current user interfa…