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

• URL: http://arxiv.org/abs/2303.06430v2
• Date: Tue, 14 Mar 2023 13:44:40 GMT
• Title: Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks
• Authors: Zijian Ding, Joel Chan
• Abstract summary: Large Language Models (LLMs) have demonstrated impressive text generation capabilities. We present a spectrum of content generation tasks and their corresponding human-AI interaction patterns.
• Score: 8.160343645537106
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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