LLM-for-X: Application-agnostic Integration of Large Language Models to Support Personal Writing Workflows

A comparison of menu selection techniques: touch panel, mouse and keyboard

John Karat, James E. McDonald, and Matt Anderson. 1986 · 1986

Earlier work this paper cites.

Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research

Sandra G. Hart and Lowell E. Staveland. 1988 · 1988

Earlier work this paper cites.

SUS: A quick and dirty usability scale

John Brooke. 1995 · 1995

Earlier work this paper cites.

Work interrupted: a comparison of workplace interruptions in emergency departments and primary care offices

Carey D Chisholm, Amanda M Dornfeld, David R Nelson, and William H Cordell. 2001 · 2001

Earlier work this paper cites.

A Writer’s Collaborative Assistant

Tamara Babaian, Barbara Grosz, and Stuart Shieber. 2002 · 2002

Earlier work this paper cites.

Supporting complex search tasks. In Proceedings of the 23rd ACM international conference on conference on information and knowledge management . 829–838

Ahmed Hassan Awadallah, Ryen W White, Patrick Pantel, Susan T Dumais, and Yi-Min Wang. 2014 · 2014

Earlier work this paper cites.

You’re the Voice: Evaluating user interfaces for encouraging underserved youths to express themselves through creative writing. In Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition . 63–72

Frederica Gonçalves, Pedro Campos, Julian Hanna, and Simone Ashby. 2015 · 2015

Earlier work this paper cites.

" What can i help you with?" infrequent users’ experiences of intelligent personal assistants. In Proceedings of the 19th international conference on human-computer interaction with mobile devices and services . 1–12

Benjamin R Cowan, Nadia Pantidi, David Coyle, Kellie Morrissey, Peter Clarke, Sara Al-Shehri, David Earley, and Natasha Bandeira. 2017 · 2017

Earlier work this paper cites.

The work life of developers: Activities, switches and perceived productivity

André N Meyer, Laura E Barton, Gail C Murphy, Thomas Zimmermann, and Thomas Fritz. 2017 · 2017

Earlier work this paper cites.

A theoretical framework for conversational search. In Proceedings of the 2017 conference on conference human information interaction and retrieval . 117–126

Filip Radlinski and Nick Craswell. 2017 · 2017

Earlier work this paper cites.

Work interruptions resiliency: toward an improved understanding of employee efficiency

Original

Julie S Zide, Maura J Mills, Comila Shahani-Denning, and Carolyn Sweetapple. 2017 · 2017

Earlier work this paper cites.

A survey investigating usage of virtual personal assistants

Original

Mateusz Dubiel, Martin Halvey, and Leif Azzopardi. 2018 · 2018

Earlier work this paper cites.

The system usability scale: past, present, and future

James R Lewis. 2018 · 2018

Earlier work this paper cites.

AI-mediated communication: How the perception that profile text was written by AI affects trustworthiness. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–13

Maurice Jakesch, Megan French, Xiao Ma, Jeffrey T Hancock, and Mor Naaman. 2019 · 2019

Earlier work this paper cites.

Predictive text encourages predictable writing. In Proceedings of the 25th International Conference on Intelligent User Interfaces . 128–138

Kenneth C Arnold, Krysta Chauncey, and Krzysztof Z Gajos. 2020 · 2020

Earlier work this paper cites.

Intelligent personal assistants: A systematic literature review

Allan de Barcelos Silva, Marcio Miguel Gomes, Cristiano André da Costa, Rodrigo da Rosa Righi, Jorge Luis Victoria Barbosa, Gustavo Pessin, Geert De Doncker, and Gustavo Federizzi. 2020 · 2020

Earlier work this paper cites.

Interruptions and task transitions: Understanding their characteristics, processes, and consequences

Sophie Leroy, Aaron M Schmidt, and Nora Madjar. 2020 · 2020

Earlier work this paper cites.

Collaborative storytelling with large-scale neural language models. In Proceedings of the 13th ACM SIGGRAPH Conference on Motion, Interaction and Games . 1–10

Eric Nichols, Leo Gao, and Randy Gomez. 2020 · 2020

Earlier work this paper cites.

Evaluating large language models trained on code

Original

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021

Earlier work this paper cites.

SAGA: Collaborative Storytelling with GPT-3 (CSCW ’21 Companion) . Association for Computing Machinery, New York, NY, USA, 163–166

Hanieh Shakeri, Carman Neustaedter, and Steve DiPaola. 2021 · 2021

Earlier work this paper cites.

Beyond text generation: Supporting writers with continuous automatic text summaries. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology . 1–13

Hai Dang, Karim Benharrak, Florian Lehmann, and Daniel Buschek. 2022 · 2022

Earlier work this paper cites.

The Idea Machine: LLM-based Expansion, Rewriting, Combination, and Suggestion of Ideas. In Proceedings of the 14th Conference on Creativity and Cognition (Venice, Italy) (C&C ’22) . 623–627

Giulia Di Fede, Davide Rocchesso, Steven P. Dow, and Salvatore Andolina. 2022 · 2022

Earlier work this paper cites.

A Design Space for Writing Support Tools Using a Cognitive Process Model of Writing. In Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022) , Ting-Hao ’Kenneth’ Huang, Vipul Raheja, Dongyeop Kang, John Joon Young Chung, Daniel Gissin, Mina Lee, and Katy Ilonka Gero (Eds.). Association for Computational Linguistics, Dublin, Ireland, 11–24

Katy Gero, Alex Calderwood, Charlotte Li, and Lydia Chilton. 2022 · 2022

Cited alongside, same era.

Large Language Models are Zero-Shot Reasoners. In Advances in Neural Information Processing Systems , S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh (Eds.), Vol. 35. Curran Associates, Inc., 22199–22213

Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022

Cited alongside, same era.

CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 388, 19 pages

Mina Lee, Percy Liang, and Qian Yang. 2022 · 2022

Cited alongside, same era.

Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions

Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, Yashbir Singh, Shadi Atalla, and Wathiq Mansoor. 2023 · 2023

Later among the works it cites.

Navigating complex search tasks with AI copilots

Original

Ryen W White. 2023 · 2023

Later among the works it cites.

A survey on multimodal large language models

Original

Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, and Enhong Chen. 2023 · 2023

Later among the works it cites.

What is Alexa

Amazon. 2024a · 2024

Closest in time.

what is Amazon Lex

Amazon. 2024b · 2024

Closest in time.

Introducing Claude

anthropic. 2024 · 2024