A three-week group deployment of the ArtKrit drawing tool shows artists evolving from experimentation to selective use within supportive peer networks, suggesting CST evaluations should function as artistic practice opportunities.
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15 Pith papers cite this work. Polarity classification is still indexing.
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2026 15representative citing papers
WhatIf provides an interactive platform for real-time exploration of LLM-driven social simulations, enabling policymakers to iteratively test plans, reflect on assumptions, and uncover vulnerabilities in emergency preparedness scenarios.
Explorable theorems ground written proofs in Lean formalizations to enable step-by-step execution, custom example testing, and dependency tracing, with a user study showing improved comprehension.
AromaGen generates real-time custom aromas from free-form text or visual inputs via multimodal LLM mapping to 12 odorants, matching or exceeding human mixtures after iterative refinement in a 26-person study.
Fully aligned instructional videos for physical tasks yield 11.1% better completion quality and 15.5% faster times, with four decomposable visual attributes whose isolated misalignments degrade performance without users noticing.
CanvasConvo presents a spatial canvas interface for branching LLM conversations, evaluated in a 5-7 day field study with 24 participants that found support for exploratory workflows.
Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
MemoryDiorama generates animated 3D dioramas from photos via LLM scene analysis and generative components, yielding richer autobiographical recall than photo-only or static diorama baselines.
Aporia makes design decisions explicit and interactive in AI-assisted programming, leading to higher engagement and 5x fewer mental model disagreements with code in a 14-person user study compared to a baseline agent.
CoMAP introduces a graph-based shared workspace with dual-modality AI that improves educators' project-based learning design expression, divergent thinking, and iteration over dialogue-only baselines.
A 3x2x2 eye-tracking study finds one-line AI disclosures raise attentional cost via fixation and saccade metrics but not cognitive load, with user preference for detailed or on-demand designs.
MIRAGE improves VLM analysis of multi-figure art by inserting a verifiable structured representation of micro-interactions between spatial grounding and narrative output.
Organizational policies constrain agency in AI-mediated software engineering more than individual preferences, with seniors using detailed delegation and pre-AI instincts while juniors oscillate between over-reliance and avoidance.
A controlled user study with 24 programmers shows sketch-based pen input can handle breakpoint setting, step execution, and state inspection in debugging, though precision, recognition, and recall remain challenges.
citing papers explorer
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Explorable Theorems: Making Written Theorems Explorable by Grounding Them in Formal Representations
Explorable theorems ground written proofs in Lean formalizations to enable step-by-step execution, custom example testing, and dependency tracing, with a user study showing improved comprehension.
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Decision-Oriented Programming with Aporia
Aporia makes design decisions explicit and interactive in AI-assisted programming, leading to higher engagement and 5x fewer mental model disagreements with code in a 14-person user study compared to a baseline agent.