Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models-Reference-Cited by-同舟云学术

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

Published:2024-05-11 Issue: Volume:22 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Dhillon Paramveer S.¹^ORCID,Molaei Somayeh²^ORCID,Li Jiaqi³^ORCID,Golub Maximilian⁴^ORCID,Zheng Shaochun⁵^ORCID,Robert Lionel Peter¹^ORCID

Affiliation:

1. School of Information, University of Michigan, United States

2. Computer Science and Engineering, University of Michigan, United States

3. University of Michigan, Information School, United States

4. University of Michigan, United States

5. University of California, San Diego, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642134

Reference75 articles.

1. Power to the People: The Role of Humans in Interactive Machine Learning

2. Guidelines for Human-AI Interaction

3. Kenneth Arnold Krzysztof Gajos and Adam Kalai. 2016. On Suggesting Phrases vs. Predicting Words for Mobile Text Composition. 603–608. https://doi.org/10.1145/2984511.2984584

4. Sasan Baleghizadeh Abbas Memar and Hossein Parsazadeh. 2011. A Sociocultural Perspective on Second Language Acquisition: The Effect of High-structured Scaffolding versus Low-structured Scaffolding on the Writing Ability of EFL Learners. Reflections on English Language Teaching 10 (Jan. 2011) 43–54.

5. The Limits of Expert Text Entry Speed on Mobile Keyboards with Autocorrect

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow;Designing Interactive Systems Conference;2024-07