Search Results for author: Eytan Adar

Found 9 papers, 2 papers with code

Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts

no code implementations1 Mar 2024 Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung

Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale.

PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions

1 code implementation9 Aug 2023 John Joon Young Chung, Eytan Adar

Just as we iteratively tune colors through layered placements of paint on a physical canvas, PromptPaint similarly allows users to apply different prompts to different canvas areas and times of the generative process.

Text-to-Image Generation

Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory

no code implementations10 May 2022 Harmanpreet Kaur, Eytan Adar, Eric Gilbert, Cliff Lampe

We use an application of sensemaking in organizations as a template for discussing design guidelines for Sensible AI, AI that factors in the nuances of human cognition when trying to explain itself.

Towards A Process Model for Co-Creating AI Experiences

no code implementations15 Apr 2021 Hariharan Subramonyam, Colleen Seifert, Eytan Adar

Therefore, designers and AI engineers must collaborate in new ways to create both the material and its application experience.

Learning Word Relatedness over Time

1 code implementation EMNLP 2017 Guy D. Rosin, Eytan Adar, Kira Radinsky

Search systems are often focused on providing relevant results for the "now", assuming both corpora and user needs that focus on the present.

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