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cs.HC2026

Treadstone: A Social-Media-Inspired Platform for Multi-Agent Collaborative Data Analysis

Hyunwook Lee, Sungbeom Cho, William Benjamin +6

Coordinating human analysts with autonomous AI agents faces the same challenges as human-to-human collaboration: sharing intermediate results, avoiding conflicts, and maintaining g…

cs.HC2026

From Role to Person: Trust Calibration Challenges in Twin Agents

Hugo Andersson, Niklas Elmqvist

Agentic AI has taken on the role of assistant, collaborator, and decision-support tool. We argue the next role on that list is more personal: you. These are digital twins of each i…

cs.HC2026

Material for Thought: Generative AI as an Active Creative Medium

Hugo Andersson, Niklas Elmqvist

Human-AI collaboration research has largely positioned the human as a judge of AI output, centering effort on evaluating whether rec- ommendations are reliable enough to accept. Th…

cs.HC2026

TombWriter: Scaffolding Story Archeology through Beat-Level Interaction in Human-AI Co-Writing

Hugo Andersson, Niklas Elmqvist

The dominant paradigm for LLM interaction in AI co-writing uses disposable prompts that vanish after use. This may lead to imprecise results, cumbersome workflows, and diminished a…

cs.HC2026

Context-Mediated Domain Adaptation in Multi-Agent Sensemaking Systems

Anton Wolter, Leon Haag, Vaishali Dhanoa +1

Domain experts possess tacit knowledge that they cannot easily articulate through explicit specifications. When experts modify AI-generated artifacts by correcting terminology, res…