Mapping the Design Space of Human-AI Interaction in Text Summarization

Understand

Automatic text summarization systems commonly involve humans for preparing data or evaluating model performance, yet, there lacks a systematic understanding of humans' roles, experience, and needs when interacting with or being assisted by AI.

• From a human-centered perspective, we map the design opportunities and considerations for human-AI interaction in text summarization and broader text generation tasks.
• We first conducted a systematic literature review of 70 papers, developing a taxonomy of five interactions in AI-assisted text generation and relevant design dimensions.
• We designed text summarization prototypes for each interaction.