ResearchCube provides a 3D spatial interface with bipolar trade-off dimensions and direct-manipulation interactions to support multi-dimensional research ideation, shown helpful in a study with 11 researchers for externalizing thinking and increasing agency.
hub Canonical reference
In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23)
Canonical reference. 100% of citing Pith papers cite this work as background.
11
Pith papers citing it
Background
100% of classified citations
hub tools
citation-role summary
background 7
citation-polarity summary
fields
cs.HC 11roles
background 7polarities
background 7representative citing papers
IdeaBlocks modularizes divergent intents into Exploration Blocks with multi-level reuse options, enabling 2.13 times more images explored and 12.5% greater visual diversity than baseline in a comparative user study.
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.
CogInstrument represents human reasoning as revisable cognitive motifs in graphical form to support iterative alignment with LLMs during planning tasks, with a N=12 study indicating gains in targeted revision, agency, and trust over standard dialogue interfaces.
JARVIS delivers VLM-powered contextual AR guidance with state verification for cross-reality tasks, improving usability and success rates over baselines in a 14-person study.
Intent Lenses infer capture-time user intent from photos via LLMs to create dynamic, reusable interactive objects that generate and organize structured visual notes for later sensemaking.
AnimationDiff is a visual comparison tool that combines contextual scene viewing, overlay/side-by-side modes, filtering, and temporal lenses to help users select among generated 3D character animations.
OOPrompt reifies user intents into structured manipulable artifacts to enable modular and iterative prompting in LLM-based interactive systems.
A preliminary participatory design study identifies design opportunities for proactive mixed reality information support to enhance engagement in in-person small-group conversations.
Artographer is a zoomable 2D embedding-based map for art exploration, evaluated in a study with 20 participants to surface values of Visibility, Agency, Serendipity, and Friction that challenge recommendation-driven media distribution.
Semantic Reality maintains a persistent connectivity graph of objects in AR via multimodal reasoning and action recognition, then visualizes relationships to aid understanding and task guidance.
citing papers explorer
-
ResearchCube: Multi-Dimensional Trade-off Exploration for Research Ideation
ResearchCube provides a 3D spatial interface with bipolar trade-off dimensions and direct-manipulation interactions to support multi-dimensional research ideation, shown helpful in a study with 11 researchers for externalizing thinking and increasing agency.
-
IdeaBlocks: Expressing and Reusing Divergent Intents for Graphic Design Exploration using Generative AI
IdeaBlocks modularizes divergent intents into Exploration Blocks with multi-level reuse options, enabling 2.13 times more images explored and 12.5% greater visual diversity than baseline in a comparative user study.
-
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.
-
CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks
CogInstrument represents human reasoning as revisable cognitive motifs in graphical form to support iterative alignment with LLMs during planning tasks, with a N=12 study indicating gains in targeted revision, agency, and trust over standard dialogue interfaces.
-
JARVIS: A Just-in-Time Augmented Reality VLM-Powered Instruction System for Cross-Reality Task Guidance
JARVIS delivers VLM-powered contextual AR guidance with state verification for cross-reality tasks, improving usability and success rates over baselines in a 14-person study.
-
Intent Lenses: Inferring Capture-Time Intent to Transform Opportunistic Photo Captures into Structured Visual Notes
Intent Lenses infer capture-time user intent from photos via LLMs to create dynamic, reusable interactive objects that generate and organize structured visual notes for later sensemaking.
-
AnimationDiff: A Visual Comparison Tool for Generated 3D Character Animations
AnimationDiff is a visual comparison tool that combines contextual scene viewing, overlay/side-by-side modes, filtering, and temporal lenses to help users select among generated 3D character animations.
-
OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting
OOPrompt reifies user intents into structured manipulable artifacts to enable modular and iterative prompting in LLM-based interactive systems.
-
Exploring Needs and Design Opportunities for Proactive Information Support in In-Person Small-Group Conversations
A preliminary participatory design study identifies design opportunities for proactive mixed reality information support to enhance engagement in in-person small-group conversations.
-
Artographer: a Curatorial Interface for Art Space Exploration
Artographer is a zoomable 2D embedding-based map for art exploration, evaluated in a study with 20 participants to surface values of Visibility, Agency, Serendipity, and Friction that challenge recommendation-driven media distribution.
-
Semantic Reality: Interactive Context-Aware Visualization of Inter-Object Relationships in Augmented Reality
Semantic Reality maintains a persistent connectivity graph of objects in AR via multimodal reasoning and action recognition, then visualizes relationships to aid understanding and task guidance.