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The development of believable, natural, and interactive digital artificial agents is a field of growing interest.
A circumplex model of affect
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Electronic Arts · 2000
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Assessing the predictive validity of emotional intelligence
Shaun Newsome, Arla L Day, and Victor M Catano · 2000
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Affective computing
Rosalind W Picard · 2000
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Psychological models of emotion
Klaus R Scherer et al · 2000
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Linguistic inquiry and word count: Liwc 2001
James W Pennebaker, Martha E Francis, and Roger J Booth · 2001
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Appraisal processes in emotion: Theory, methods, research
Klaus R Scherer, Angela Schorr, and Tom Johnstone · 2001
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Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being
James J Gross and Oliver P John · 2003
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Lying words: Predicting deception from linguistic styles
Matthew L Newman, James W Pennebaker, Diane S Berry, and Jane M Richards · 2003
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Linguistic markers of psychological change surrounding september 11, 2001
Michael A Cohn, Matthias R Mehl, and James W Pennebaker · 2004
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The construct and criterion validity of emotional intelligence and its potential utility for management studies
Kenneth S Law, Chi-Sum Wong, and Lynda J Song · 2004
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A review and critique of emotional intelligence measures
Jeffrey M Conte · 2005
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Affective videogames and modes of affective gaming: assist me, challenge me, emote me
Kiel Gilleade, Alan Dix, and Jen Allanson · 2005
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The bias map: behaviors from intergroup affect and stereotypes
Amy JC Cuddy, Susan T Fiske, and Peter Glick · 2007
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Measuring emotional expression with the linguistic inquiry and word count
Jeffrey H Kahn, Renee M Tobin, Audra E Massey, and Jennifer A Anderson · 2007
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Affective computing for game design
Eva Hudlicka · 2008
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New paradigms for assessing emotional intelligence: theory and data
Carolyn MacCann and Richard D Roberts · 2008
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Affective interaction: How emotional agents affect users
Russell Beale and Chris Creed · 2009
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There’s always hope: Enhancing agent believability through expectation-based emotions
Tibor Bosse and Edwin Zwanenburg · 2009
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An ability model of emotional intelligence: A rationale, description, and application of the mayer salovey caruso emotional intelligence test (msceit)
Peter K Papadogiannis, Deena Logan, and Gill Sitarenios · 2009
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Emotions in serious games: From experience to assessment
Luigi Anolli, Fabrizia Mantovani, Linda Confalonieri, Antonio Ascolese, and L Peveri · 2010
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The many meanings/aspects of emotion: Definitions, functions, activation, and regulation
Carroll E Izard · 2010
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Towards automatic personalized content generation for platform games
Noor Shaker, Georgios Yannakakis, and Julian Togelius · 2010
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Keep calm and explore: Language models for action generation in text-based games
Shunyu Yao, Rohan Rao, Matthew Hausknecht, and Karthik Narasimhan · 2020
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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Dungeons and dragons as a dialog challenge for artificial intelligence
Chris Callison-Burch, Gaurav Singh Tomar, Lara J Martin, Daphne Ippolito, Suma Bailis, and David Reitter · 2022
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Better game characters by design: A psychological approach
Katherine Isbister · 2022
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Intelligent virtual agents in behavioral and mental healthcare mental healthcare: Ethics ethics and application considerations
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Eva Hudlicka · 2011
Cited alongside, same era.
Experience-driven procedural content generation
Georgios N Yannakakis and Julian Togelius · 2011
Cited alongside, same era.
Appraisal theories of emotion: State of the art and future development
Agnes Moors, Phoebe C Ellsworth, Klaus R Scherer, and Nico H Frijda · 2013
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Gamygdala: An emotion engine for games
Alexandru Popescu, Joost Broekens, and Maarten Van Someren · 2013
Cited alongside, same era.
Computational modeling of emotion: Toward improving the inter-and intradisciplinary exchange
Rainer Reisenzein, Eva Hudlicka, Mehdi Dastani, Jonathan Gratch, Koen Hindriks, Emiliano Lorini, and John-Jules Ch Meyer · 2013
Cited alongside, same era.
Fusing visual and behavioral cues for modeling user experience in games
Noor Shaker, Stylianos Asteriadis, Georgios N Yannakakis, and Kostas Karpouzis · 2013
Cited alongside, same era.
Emotions in context: A sociodynamic model of emotions
Batja Mesquita and Michael Boiger · 2014
Cited alongside, same era.
David D Luxton and Eva Hudlicka · 2022
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Theory convergence in emotion science is timely and realistic
Klaus R Scherer · 2022
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Deploying machine learning techniques for human emotion detection
Ali I Siam, Naglaa F Soliman, Abeer D Algarni, Abd El-Samie, E Fathi, Ahmed Sedik, et al · 2022
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Playing games with ais: the limits of gpt-3 and similar large language models
Adam Sobieszek and Tadeusz Price · 2022
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Bertscore is unfair: On social bias in language model-based metrics for text generation
Tianxiang Sun, Junliang He, Xipeng Qiu, and Xuanjing Huang · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Accessed: 2023-07-14
Openai api · 2023
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Accessed: 2023-07-14
Openai moderation api · 2023
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Using cognitive psychology to understand gpt-3
Marcel Binz and Eric Schulz · 2023
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Theories, methodologies, and effects of affect-adaptive games: A systematic review
Maximilian Croissant, Guy Schofield, and Cade McCall · 2023
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Large language models as models of human cognition
Michael C Frank · 2023
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Evaluating large language models in generating synthetic hci research data: a case study
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari · 2023
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Theory of mind may have spontaneously emerged in large language models
Michal Kosinski · 2023
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Evaluating the logical reasoning ability of chatgpt and gpt-4
Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, Jian Liu, Qiji Zhou, and Yue Zhang · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
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Mind meets machine: Unravelling gpt-4’s cognitive psychology
Manmeet Singh, Vaisakh SB, Neetiraj Malviya, et al · 2023
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Transformers learn in-context by gradient descent
Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, João Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, and Max Vladymyrov · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt · 2023
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