HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Knowledge Work, Writing, and Content Processing / Writing Collaboration, Summarization, and Text Suggestions

Users cannot dynamically adjust the depth and mode of collaboration with AI, limiting interaction flexibility.

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Users cannot dynamically adjust the depth and mode of collaboration with AI, limiting interaction flexibility.

UIST '24Intelligence as Agency

Similar questions

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Novice authors struggle to understand and master tacit norms in scientific writing.

CHI '25CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Researchers struggle to analyze multimodal behavior and conversational dynamics in technology interaction.

CHI '25Exploratory Visual Analysis of Transcripts for Interaction Analysis in Human-Computer Interaction

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Traditional writing tools struggle to support nonlinear, exploratory writing needs.

CHI '25Script&Shift: A Layered Interface Paradigm for Integrating Content Development and Rhetorical Strategy with LLM Writing Assistants

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Non-Western users may lose cultural distinctiveness when using AI writing assistance.

CHI '25AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Scholars from non-English cultural backgrounds are marginalized by English-dominated academic norms.

CHI '25The Power of Language: Resisting Western Heteropatriarchal Normative Writing Standards

lightbulbPractical problemWriting Collaboration, Summarization, and Text Suggestions

Users struggle to balance efficient replies and content control in mobile email.

CHI '25Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI

Related papers

CorpusStudio: Surfacing Emergent Patterns In A Corpus Of Prior Work While Writing

Hai Dang, Chelse Swoopes, Daniel Buschek

Exploratory Visual Analysis of Transcripts for Interaction Analysis in Human-Computer Interaction

Ben Rydal Shapiro, Rogers Hall, Arpit Mathur

Script&Shift: A Layered Interface Paradigm for Integrating Content Development and Rhetorical Strategy with LLM Writing Assistants

Momin Naushad Siddiqui, Roy Pea, Hariharan Subramonyam

AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances

Dhruv Agarwal, Mor Naaman, Aditya Vashistha

The Power of Language: Resisting Western Heteropatriarchal Normative Writing Standards

Divyanshu Kumar Singh, Dipto Das, Bryan Semaan

Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI

Tim Zindulka, Sven Goller, Florian Lehmann

Comparing Native and Non-native English Speakers’ Behaviors in Collaborative Writing through Visual Analytics

Yuexi Chen, Yimin Xiao, Kazi Tasnim Zinat

Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models

Paramveer Dhillon, Somayeh Molaei, Jiaqi Li

Writer-Defined AI Personas for On-Demand Feedback Generation

Karim Benharrak, Tim Zindulka, Florian Lehmann

DiaryMate: Understanding User Perceptions and Experience in Human-AI Collaboration for Personal Journaling

Taewan Kim, Donghoon Shin, Young-Ho Kim

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation

Susan Lin, Jeremy Warner, J.D. Zamfirescu-Pereira

Designing Diverse Pathways for Participation

Jeanette Falk, Anna Blumenkranz, Moritz Kubesch