mlsanityData to 14 Oct 2026

Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks

arXiv 2303.06430 ↗First posted 11 Mar 2023cs.AIcited by 6

Not on the map. Why?

Abstract (arXiv)

Large Language Models (LLMs) have demonstrated impressive text generation capabilities, prompting us to reconsider the future of human-AI co-creation and how humans interact with LLMs. In this paper, we present a spectrum of content generation tasks and their corresponding human-AI interaction patterns. These tasks include: 1) fixed-scope content curation tasks with minimal human-AI interactions, 2) independent creative tasks with precise human-AI interactions, and 3) complex and interdependent creative tasks with iterative human-AI interactions. We encourage the generative AI and HCI research communities to focus on the more complex and interdependent tasks, which require greater levels of human involvement.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 14 of its 31 references that are in the map. First posted on arXiv 11 Mar 2023.

Builds on

14 of 31 references.

References · 14

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022News Summarization and Evaluation in the Era of GPT-3cited by 327
  3. 2021All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Textcited by 287
  4. 2022Emergent Analogical Reasoning in Large Language Modelscited by 240
  5. 2022Evaluating Human-Language Model Interactioncited by 92
  6. 2021Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Textcited by 89
  7. 2022Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Bookcited by 84
  8. 2021Sparks: Inspiration for Science Writing using Language Modelscited by 80
  9. 2022Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summariescited by 47
  10. 2022Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPTcited by 27
  11. 2023Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativitycited by 23
  12. 2021Generative Pre-Trained Transformer for Design Concept Generation: An Explorationcited by 17
2 more
  1. 2022Mapping the Design Space of Human-AI Interaction in Text Summarizationcited by 15
  2. 2023Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Studycited by 3

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 2; 2025: 1.

6 papers.

  1. 2023RELIC: Investigating Large Language Model Responses using Self-Consistencycited by 23
  2. 2023Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generationcited by 14
  3. 2025Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creationcited by 14
  4. 2024Unpacking Human-AI interactions: From interaction primitives to a design spacecited by 7
  5. 2023Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoningcited by 3
  6. 2024Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitionscited by 3