Users treat human delegation for long tasks as a flexible compass but AI delegation as rigid railway tracks due to perceived AI limitations in inference and judgment.
Froehlich, and James Fogarty
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
fields
cs.HC 6representative 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.
Adaptive Prompt Elicitation (APE) uses an information-theoretic framework to generate visual queries that elicit and compile user intent into better prompts for text-to-image models, showing improved alignment in benchmarks and a user study.
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.
A configurable framework called GamePals enables shared control via human cooperation or partial automation to improve video game accessibility for people with upper-limb impairments, evaluated in a study with 13 participants.
Student-facilitated workshops in one design class produced AI policies highlighting double standards in disclosure requirements between students and faculty, demonstrating value in participatory governance.
citing papers explorer
-
Compass vs Railway Tracks: Unpacking User Mental Models for Communicating Long-Horizon Work to Humans vs. AI
Users treat human delegation for long tasks as a flexible compass but AI delegation as rigid railway tracks due to perceived AI limitations in inference and judgment.
-
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.
-
Adaptive Prompt Elicitation for Text-to-Image Generation
Adaptive Prompt Elicitation (APE) uses an information-theoretic framework to generate visual queries that elicit and compile user intent into better prompts for text-to-image models, showing improved alignment in benchmarks and a user study.
-
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.
-
Video Game Accessibility through Shared Control for People with Upper-Limb Impairments
A configurable framework called GamePals enables shared control via human cooperation or partial automation to improve video game accessibility for people with upper-limb impairments, evaluated in a study with 13 participants.
-
Participatory, not Punitive: Student-Driven AI Policy Recommendations in a Design Classroom
Student-facilitated workshops in one design class produced AI policies highlighting double standards in disclosure requirements between students and faculty, demonstrating value in participatory governance.