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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A survey of 457 papers yields a six-dimensional design space for abstraction in interactive systems that reframes gulfs of execution and evaluation while articulating cognitive and design processes for bridging abstraction gaps.
MAESTRO adds a shared preference memory plus GUI-adaptation and workflow-navigation mechanisms to conversational agents with GUIs and tests them in a 33-person movie-booking study.
DataSway supports creation of semantically aligned animations for metaphoric data visualizations by generating clips via VLMs and coordinating timelines based on entity order, attributes, layout, or randomness.
Neural Change Prediction generates mutation data to train bidirectional models linking code changes to behavioral effects for any executable program.
Designers using generative AI for concept envisioning engage in reciprocal reflection-in-action that surfaces multi-level value tensions and prioritizes harm recognition over positive value articulation.
Older adults with MCC adapted physical token input visualizations to track health data, using them for immediate pattern reflection, routine integration, and personal expression during a two-week study.
University community members split between reflecting on past events or recording today's experiences as future history when contributing to collective memory, yielding design considerations for community platforms.
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
A survey of user studies on LLM use in programming that identifies interaction behaviors, mixed benefits and weaknesses, and factors influencing human and task performance.
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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Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems
A survey of 457 papers yields a six-dimensional design space for abstraction in interactive systems that reframes gulfs of execution and evaluation while articulating cognitive and design processes for bridging abstraction gaps.
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MAESTRO: Adapting GUIs and Guiding Navigation with User Preferences in Conversational Agents with GUIs
MAESTRO adds a shared preference memory plus GUI-adaptation and workflow-navigation mechanisms to conversational agents with GUIs and tests them in a 33-person movie-booking study.
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DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and Coordination
DataSway supports creation of semantically aligned animations for metaphoric data visualizations by generating clips via VLMs and coordinating timelines based on entity order, attributes, layout, or randomness.
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Neural Change Prediction: Relating Software Changes to Their Effects and Vice Versa
Neural Change Prediction generates mutation data to train bidirectional models linking code changes to behavioral effects for any executable program.
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How Designers Envision Value-Oriented AI Design Concepts with Generative AI
Designers using generative AI for concept envisioning engage in reciprocal reflection-in-action that surfaces multi-level value tensions and prioritizes harm recognition over positive value articulation.
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Input Visualizations to Track Health Data by Older Adults with Multiple Chronic Conditions
Older adults with MCC adapted physical token input visualizations to track health data, using them for immediate pattern reflection, routine integration, and personal expression during a two-week study.
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Exploring the Grassroots Understanding and Practices of Collective Memory Co-Contribution in a University Community
University community members split between reflecting on past events or recording today's experiences as future history when contributing to collective memory, yielding design considerations for community platforms.
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How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative Autonomy
Qualitative studies show creatives prefer self-experimentation over structured guidance for GenAI image tools to preserve creative autonomy despite terminology barriers.
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Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks
A survey of user studies on LLM use in programming that identifies interaction behaviors, mixed benefits and weaknesses, and factors influencing human and task performance.