WSTypist is a new RL-based simulation model that reproduces human-like word suggestion strategies, individual differences, and adaptation to design changes in mobile text entry.
Collage Is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools
4 Pith papers cite this work. Polarity classification is still indexing.
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AI support during drafting decreases writing ownership more than during planning due to greater AI text and idea contributions, while improving essay quality.
AI tools deliver useful overviews for research exploration but prove unreliable for precise information extraction and systematic reviews due to low explainability, reproducibility, and transparency.
Participants proposed customizable, context-sensitive accessibility symbols paired with technology to give users control over disability disclosure and reduce misinterpretation.
citing papers explorer
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Simulating Word Suggestion Usage in Mobile Typing to Guide Intelligent Text Entry Design
WSTypist is a new RL-based simulation model that reproduces human-like word suggestion strategies, individual differences, and adaptation to design changes in mobile text entry.
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From Planning to Revision: How AI Writing Support at Different Stages Alters Ownership
AI support during drafting decreases writing ownership more than during planning due to greater AI text and idea contributions, while improving essay quality.
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Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research
AI tools deliver useful overviews for research exploration but prove unreliable for precise information extraction and systematic reviews due to low explainability, reproducibility, and transparency.
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"Because we are no longer ashamed of our disabilities, we are proud": Advocating and Reclaiming Next-Gen Accessibility Symbols
Participants proposed customizable, context-sensitive accessibility symbols paired with technology to give users control over disability disclosure and reduce misinterpretation.