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Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools.
Use of ranks in one-criterion variance analysis
William H Kruskal and WA Wallis. 1952 · 1952
Earlier work this paper cites.
ELIZA—a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum. 1966 · 1966
Earlier work this paper cites.
The Proposed USCF Rating System, Its Development, Theory, and Applications
Arpad E Elo. 1967 · 1967
Earlier work this paper cites.
Draft of a proposal to ARPA for research on artificial intelligence at MIT, 1970–71
Marvin Minsky and Seymour Papert. 1970 · 1970
Earlier work this paper cites.
Procedures as a Representation for Data in a Computer Program for Understanding Natural Language
Terry Winograd. 1971 · 1971
Earlier work this paper cites.
A simple sequentially rejective multiple test procedure
Sture Holm. 1979 · 1979
Earlier work this paper cites.
The keystroke-level model for user performance time with interactive systems
Stuart K Card, Thomas P Moran, and Allen Newell. 1980 · 1980
Earlier work this paper cites.
Disney Animation: The Illusion of Life
Frank Thomas and Ollie Johnston. 1981 · 1981
Earlier work this paper cites.
The psychology of human-computer interaction
Stuart K Card, Thomas P Moran, and Alan Newell. 1983 · 1983
Earlier work this paper cites.
STEAMER: An Interactive Inspectable Simulation-Based Training System
James D. Hollan, Edwin L. Hutchins, and Louis Weitzman. 1984 · 1984
Earlier work this paper cites.
I had a dream: AAAI presidential address
Woody Bledsoe. 1986 · 1986
Earlier work this paper cites.
Unified Theories of Cognition
Allen Newell. 1990 · 1990
Earlier work this paper cites.
The computer for the 21st century
Mark Weiser. 1991 · 1991
Earlier work this paper cites.
Rules of the Mind
John R. Anderson. 1993 · 1993
Earlier work this paper cites.
The Role of Emotion in Believable Agents
Joseph Bates. 1994 · 1994
Earlier work this paper cites.
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Douglas Hofstadter. 1995 · 1995
Earlier work this paper cites.
Artificial Life Meets Entertainment: Lifelike Autonomous Agents
Pattie Maes. 1995 · 1995
Earlier work this paper cites.
Intelligent agents for interactive simulation environments
Milind Tambe, W Lewis Johnson, Randolph M Jones, Frank Koss, John E Laird, Paul S Rosenbloom, and Karl Schwamb. 1995 · 1995
Earlier work this paper cites.
The GOMS family of user interface analysis techniques: Comparison and contrast
Bonnie E John and David E Kieras. 1996 · 1996
Earlier work this paper cites.
The media equation: How people treat computers, television, and new media like real people and places
Byron Reeves and Clifford Nass. 1996 · 1996
Earlier work this paper cites.
Direct manipulation vs. interface agents
Ben Shneiderman and Pattie Maes. 1997 · 1997
Earlier work this paper cites.
Modeling Human and Organizational Behavior: Applications to Military Simulations
Richard W. Pew and Ann S. Mavor (Eds.). 1998 · 1998
Earlier work this paper cites.
Narrative in virtual environments—towards emergent narrative. In Narrative Intelligence: Papers from the AAAI Fall Symposium (Technical Report FS-99-01) . AAAI Press, 83–86
Ruth Aylett. 1999 · 1999
Earlier work this paper cites.
Principles of mixed-initiative user interfaces. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems . 159–166
Eric Horvitz. 1999 · 1999
Earlier work this paper cites.
Automated Intelligent Pilots for Combat Flight Simulation
Randolph M Jones, John E Laird, Paul E Nielsen, Karen J Coulter, Patrick Kenny, and Frank V Koss. 1999 · 1999
Earlier work this paper cites.
The Cog Project: Building a Humanoid Robot. In Computation for Metaphors, Analogy, and Agents (Lecture Notes on Artificial Intelligence, 1562) , Chrystopher Nehaniv (Ed.). Springer-Verlag, Berlin, 52–87
Rodney A. Brooks, Cynthia Breazeal, Marko Marjanovic, Brian Scassellati, and Matthew Williamson. 2000 · 2000
Earlier work this paper cites.
Consistency of personality in interactive characters: verbal cues, non-verbal cues, and user characteristics
Kristen Ibister and Clifford Nass. 2000 · 2000
Earlier work this paper cites.
It Knows What You’re Going To Do: Adding Anticipation to a QUAKEBOT. In Papers from the AAAI 2000 Spring Symposium on Artificial Intelligence and Interactive Entertainment (Technical Report SS-00-02) . AAAI Press, 41–50
John E. Laird. 2000 · 2000
Earlier work this paper cites.
Understanding and using context
Anind K Dey. 2001 · 2001
Earlier work this paper cites.
It Knows What You’re Going To Do: Adding Anticipation to a Quakebot. In Proceedings of the 2001 Workshop on Intelligent Cinematography and Editing . 63–69
John Laird. 2001 · 2001
Earlier work this paper cites.
Human-Level AI’s Killer Application: Interactive Computer Games
John Laird and Michael VanLent. 2001 · 2001
Earlier work this paper cites.
Towards implementation of social interaction. In AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment . AAAI Press
Robert Zubek. 2002 · 2002
Earlier work this paper cites.
Interactive machine learning. In Proceedings of the 8th international conference on Intelligent user interfaces . ACM, 39–45
Jerry Alan Fails and Dan R Olsen Jr. 2003 · 2003
Earlier work this paper cites.
A design-centered framework for social human-robot interaction. In Proceedings of the 13th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN’04) . 591–594
Christoph Bartneck and Jodi Forlizzi. 2004 · 2004
Earlier work this paper cites.
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
Earlier work this paper cites.
Interleaving Learning, Problem Solving, and Execution in the Icarus Architecture
Pat Langley, Dongkyu Choi, and Seth Rogers. 2005 · 2005
Earlier work this paper cites.
An Objective Character Believability Evaluation Procedure for Multi-Agent Story Generation Systems. In Proceedings of the 5th International Working Conference on Intelligent Virtual Agents (IVA’05) . Kos, Greece, 58–70
Mark O. Riedl and R. Michael Young. 2005 · 2005
Cited alongside, same era.
TrueSkill™: A Bayesian Skill Rating System. In Advances in Neural Information Processing Systems , B. Schölkopf, J. Platt, and T. Hoffman (Eds.), Vol. 19. MIT Press
Ralf Herbrich, Tom Minka, and Thore Graepel. 2006 · 2006
Cited alongside, same era.
Toward virtual humans
William Swartout, Jonathan Gratch, Randall Hill, Eduard Hovy, Stacy Marsella, Jeff Rickel, and David Traum. 2006 · 2006
Cited alongside, same era.
A General Inductive Approach for Analyzing Qualitative Evaluation Data
David R. Thomas. 2006 · 2006
Cited alongside, same era.
A Dictionary of Statistics (2 ed.)
Graham Upton and Ian Cook. 2006 · 2006
Cited alongside, same era.
Developing Game AI Agent Behaving Like Human by Mixing Reinforcement Learning and Supervised Learning. In Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) . Kanazawa, Japan, 153–158
Shohei Miyashita, Xinyu Lian, Xiao Zeng, Takashi Matsubara, and Kuniaki Uehara. 2017 · 2017
Later among the works it cites.
Guidelines for human-AI interaction. In Proceedings of the 2019 chi conference on human factors in computing systems . 1–13
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N Bennett, Kori Inkpen, et al · 2019
Later among the works it cites.
Dota 2 with Large Scale Deep Reinforcement Learning
Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemysław Dębiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique P. d.O. Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, and Susan Zhang. 2019 · 2019
Later among the works it cites.
Grandmaster level in StarCraft II using multi-agent reinforcement learning
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Mass Effect
BioWare. 2007 · 2007
Cited alongside, same era.
Game AI is dead. Long live game AI!
Alexander Nareyek. 2007 · 2007
Cited alongside, same era.
CueFlik: Interactive Concept Learning in Image Search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Florence, Italy) (CHI ’08) . Association for Computing Machinery, New York, NY, USA, 29–38
James Fogarty, Desney Tan, Ashish Kapoor, and Simon Winder. 2008 · 2008
Cited alongside, same era.
The Sims 3
Electronic Arts. 2009 · 2009
Cited alongside, same era.
Alice and Kev: The Story of Being Homeless in The Sims 3
Robin Burkinshaw. 2009 · 2009
Cited alongside, same era.
An Introduction to Qualitative Research
Uwe Flick. 2009 · 2009
Cited alongside, same era.
Comme il Faut: A System for Simulating Social Games Between Autonomous Characters. In Proceedings of the 7th International Conference on Digital Arts and Culture . 87–94
Josh McCoy, Michael Mateas, and Noah Wardrip-Fruin. 2009 · 2009
Cited alongside, same era.
Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, and et al. 2019 · 2019
Later among the works it cites.
Procedural Generation of Interactive Stories using Language Models. In International Conference on the Foundations of Digital Games (FDG ’20) . ACM, Bugibba, Malta, 8
Jonas Freiknecht and Wolfgang Effelsberg. 2020 · 2020
Later among the works it cites.
Interactive Fiction Games: A Colossal Adventure. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 34. 7903–7910
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Cote, and Xinyu Yuan. 2020 · 2020
Later among the works it cites.
Re-examining whether, why, and how human-AI interaction is uniquely difficult to design. In Proceedings of the 2020 chi conference on human factors in computing systems . 1–13
Qian Yang, Aaron Steinfeld, Carolyn Rosé, and John Zimmerman. 2020 · 2020
Later among the works it cites.
A Believable Agent for First-Person Shooter Games. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , Vol. 3. 71–73
Dong kyu Choi, Tolga Konik, Negin Nejati, Chunki Park, and Pat Langley. 2021 · 2021
Later among the works it cites.
What Makes Good In-Context Examples for GPT-3?
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, and Weizhu Chen. 2021 · 2021
Later among the works it cites.
So what is ’the metaverse’, exactly?
Kyle Orland. 2021 · 2021
Later among the works it cites.
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. In Advances in Neural Information Processing Systems , M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., 16183–16195
Ho Chit Siu, Jaime Peña, Edenna Chen, Yutai Zhou, Victor Lopez, Kyle Palko, Kimberlee Chang, and Ross Allen. 2021 · 2021
Later among the works it cites.
Recursively Summarizing Books with Human Feedback
Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, and Paul Christiano. 2021 · 2021
Later among the works it cites.
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, and et al. 2022 · 2022
Later among the works it cites.
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 9379–9393
Chris Callison-Burch, Gaurav Singh Tomar, Lara Martin, Daphne Ippolito, Suma Bailis, and David Reitter. 2022 · 2022
Later among the works it cites.
Inner Monologue: Embodied Reasoning through Planning with Language Models
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, and Brian Ichter. 2022 · 2022
Later among the works it cites.
PromptMaker: Prompt-Based Prototyping with Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 35, 8 pages
Ellen Jiang, Kristen Olson, Edwin Toh, Alejandra Molina, Aaron Donsbach, Michael Terry, and Carrie J Cai. 2022 · 2022
Later among the works it cites.
Socially situated artificial intelligence enables learning from human interaction
Ranjay Krishna, Donsuk Lee, Li Fei-Fei, and Michael S. Bernstein. 2022 · 2022
Later among the works it cites.
Opal: Multimodal Image Generation for News Illustration. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology . 1–17
Vivian Liu, Han Qiao, and Lydia Chilton. 2022 · 2022
Later among the works it cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Later among the works it cites.
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. In In the 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22) (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA
Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2022 · 2022
Later among the works it cites.
Prolific: Quickly Find Research Participants You Can Trust
Prolific. 2022 · 2022
Later among the works it cites.
Human-centered AI
Ben Shneiderman. 2022 · 2022
Later among the works it cites.
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics
Taylor Sorensen, Joshua Robinson, Christopher Rytting, Alexander Shaw, Kyle Rogers, Alexia Delorey, Mahmoud Khalil, Nancy Fulda, and David Wingate. 2022 · 2022
Later among the works it cites.
PromptChainer: Chaining Large Language Model Prompts through Visual Programming. In CHI EA ’22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, and Carrie J Cai. 2022a · 2022
Later among the works it cites.
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In CHI ’22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Tongshuang Wu, Michael Terry, and Carrie J Cai. 2022b · 2022
Later among the works it cites.
Mirages: On Anthropomorphism in Dialogue Systems
Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, and Zeerak Talat. 2023 · 2023
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Using cognitive psychology to understand GPT-3
Marcel Binz and Eric Schulz. 2023 · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
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Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . ACM
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari. 2023 · 2023
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Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
John J. Horton. 2023 · 2023
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Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, and Matei Zaharia. 2023 · 2023
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Phaser Labs. 2023 · 2023
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