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Automated dialogue or conversational systems are anthropomorphised by developers and personified by users.
A First Dictionary of Linguistics and Phonetics
David Crystal. 1980 · 1980
Earlier work this paper cites.
Utterer’s meaning, sentence-meaning, and word-meaning
H. P. Grice. 1988 · 1988
Earlier work this paper cites.
On the course of answering questions
Vicki L Smith and Herbert H Clark. 1993 · 1993
Earlier work this paper cites.
Conversational games, belief revision and Bayesian networks
S. G. Pulman. 1997 · 1996
Earlier work this paper cites.
The Media Equation: How People Treat Computers, Television, and New Media like Real People
Byron Reeves and Clifford Nass. 1996 · 1996
Earlier work this paper cites.
How users reciprocate to computers: An experiment that demonstrates behavior change
BJ Fogg and Clifford Nass. 1997 · 1997
Earlier work this paper cites.
Animacy and Reference: A Cognitive Approach to Corpus Linguistics
Mutsumi Yamamoto. 1999 · 1999
Earlier work this paper cites.
The big five personality factors: The psycholexical approach to personality
Boele De Raad. 2000 · 2000
Earlier work this paper cites.
Using uh and um in spontaneous speaking
Herbert H Clark and Jean E Fox Tree. 2002 · 2002
Earlier work this paper cites.
Inferring speakers’ physical attributes from their voices
Robert M. Krauss, Robin J. Freyberg, and Ezequiel Morsella. 2002 · 2002
Earlier work this paper cites.
Thinking animals and the reference of ‘I’
Eric T Olson. 2002 · 2002
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Anthropomorphism and the social robot
Brian R. Duffy. 2003 · 2003
Earlier work this paper cites.
The Information State Approach to Dialogue Management , pages 325–353. Springer Netherlands, Dordrecht
David R. Traum and Staffan Larsson. 2003 · 2003
Earlier work this paper cites.
Wired for speech: How voice activates and advances the human-computer relationship
Clifford Ivar Nass and Scott Brave. 2005 · 2005
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The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Marvin Minsky. 2006 · 2006
Earlier work this paper cites.
Coordination in conversation and rapport
Justine Cassell, Alastair Gill, and Paul Tepper. 2007 · 2007
Earlier work this paper cites.
It’s the way that you, er, say it: Hesitations in speech affect language comprehension
Martin Corley, Lucy J MacGregor, and David I Donaldson. 2007 · 2007
Earlier work this paper cites.
On seeing human: A three-factor theory of anthropomorphism
Nicholas Epley, Adam Waytz, and John T. Cacioppo. 2007 · 2007
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Register, Genre, and Style
Douglas Biber and Susan Conrad. 2009 · 2009
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The thinking animal problem and personal pronoun revisionism
Harold W. Noonan. 2009 · 2009
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The role of fillers in listener attributions for speaker disfluency
Dale J Barr and Mandana Seyfeddinipur. 2010 · 2010
Earlier work this paper cites.
Anthropomorphism and AI: Turing’s much misunderstood imitation game
Diane Proudfoot. 2011 · 2011
Earlier work this paper cites.
What is “theory of mind”? Concepts, cognitive processes and individual differences
Ian A Apperly. 2012 · 2012
Earlier work this paper cites.
Anthropomorphism of computers: Is it mindful or mindless?
Youjeong Kim and S Shyam Sundar. 2012 · 2012
Earlier work this paper cites.
Disfluencies and uncertainty perception–evidence from a human–machine scenario
Charlotte Wollermann, Eva Lasarcyk, Ulrich Schade, and Bernhard Schröder. 2013 · 2013
Earlier work this paper cites.
Exploring turn-taking cues in multi-party human-robot discussions about objects
Gabriel Skantze, Martin Johansson, and Jonas Beskow. 2015 · 2015
Earlier work this paper cites.
The uncanny valley: Existence and explanations
Shensheng Wang, Scott O. Lilienfeld, and Philippe Rochat. 2015 · 2015
Earlier work this paper cites.
Turing’s red flag
Toby Walsh. 2016 · 2016
Earlier work this paper cites.
Principles of robotics: regulating robots in the real world
Margaret Boden, Joanna Bryson, Darwin Caldwell, Kerstin Dautenhahn, Lilian Edwards, Sarah Kember, Paul Newman, Vivienne Parry, Geoff Pegman, Tom Rodden, Tom Sorrell, Mick Wallis, Blay Whitby, and Alan Winfield. 2017 · 2017
Earlier work this paper cites.
To err is robot: How humans assess and act toward an erroneous social robot
Nicole Mirnig, Gerald Stollnberger, Markus Miksch, Susanne Stadler, Manuel Giuliani, and Manfred Tscheligi. 2017 · 2017
Earlier work this paper cites.
On human nature
Roger Scruton. 2017 · 2017
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Gender and dialect bias in YouTube’s automatic captions
Rachael Tatman. 2017 · 2017
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Robot, alien and cartoon voices: Implications for speech-enabled systems
Sarah Wilson and Roger K. Moore. 2017 · 2017
Earlier work this paper cites.
Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions
Theo Araujo. 2018 · 2018
Earlier work this paper cites.
MultiWOZ - a large-scale multi-domain Wizard-of-Oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
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California Senate Bill no. 1001
California State Legislature. 2018 · 2018
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#MeToo Alexa: How conversational systems respond to sexual harassment
Amanda Cercas Curry and Verena Rieser. 2018 · 2018
Cited alongside, same era.
Google Duplex: An AI system for accomplishing real world tasks over the phone
Yaniv Leviathan and Yossi Matias. 2018 · 2018
Cited alongside, same era.
An Empirical Study of Self-Disclosure in Spoken Dialogue Systems
Abhilasha Ravichander and Alan W. Black. 2018 · 2018
Cited alongside, same era.
Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Cited alongside, same era.
The right kind of unnatural: Designing a robot voice
Matthew P. Aylett, Selina Jeanne Sutton, and Yolanda Vazquez-Alvarez. 2019 · 2019
Cited alongside, same era.
Anthropomorphism and the aesopic animal fables
Where’s the uh, hesitation? The interplay between filled pause location, speech rate and fundamental frequency in perception of confidence
Ambika Kirkland, Harm Lameris, Eva Székely, and Joakim Gustafson. 2022 · 2022
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Hanging out with my pandemic pal: Contextualizing motivations of anthropomorphizing voice assistants during COVID-19
Fanjue Liu. 2022 · 2022
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Owning mistakes sincerely: Strategies for mitigating AI errors
Amama Mahmood, Jeanie W Fung, Isabel Won, and Chien-Ming Huang. 2022 · 2022
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Shikib Mehri, Jinho Choi, Luis Fernando D’Haro, Jan Deriu, Maxine Eskenazi, Milica Gasic, Kallirroi Georgila, Dilek Hakkani-Tur, Zekang Li, Verena Rieser, et al. 2022 · 2022
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Reducing conversational agents’ overconfidence through linguistic calibration
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Tua Korhonen. 2019 · 2019
Cited alongside, same era.
Robot eyes wide shut: Understanding dishonest anthropomorphism
Brenda Leong and Evan Selinger. 2019 · 2019
Cited alongside, same era.
Is it human? The role of anthropomorphism as a driver for the successful acceptance of digital voice assistants
Katja Wagner, Frederic Nimmermann, and Hanna Schramm-Klein. 2019 · 2019
Cited alongside, same era.
I’d Blush if I Could: Closing Gender Divides in Digital Skills through Education
Mark West, Rebecca Kraut, and Han Ei Chew. 2019 · 2019
Cited alongside, same era.
Climbing towards NLU: On meaning, form, and understanding in the age of data
Emily M. Bender and Alexander Koller. 2020 · 2020
Cited alongside, same era.
The Whiteness of AI
Stephen Cave and Kanta Dihal. 2020 · 2020
Cited alongside, same era.
Living machines: A study of atypical animacy
Mariona Coll Ardanuy, Federico Nanni, Kaspar Beelen, Kasra Hosseini, Ruth Ahnert, Jon Lawrence, Katherine McDonough, Giorgia Tolfo, Daniel CS Wilson, and Barbara McGillivray. 2020 · 2020
Cited alongside, same era.
Sabrina J. Mielke, Arthur Szlam, Emily Dinan, and Y-Lan Boureau. 2022 · 2022
Later among the works it cites.
Neural theory-of-mind? On the limits of social intelligence in large LMs
Maarten Sap, Ronan Le Bras, Daniel Fried, and Yejin Choi. 2022 · 2022
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Situating search
Chirag Shah and Emily M. Bender. 2022 · 2022
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The role of valence, dominance, and pitch in perceptions of artificial intelligence (AI) conversational agents’ voices
Victor Kenji M. Shiramizu, Anthony J. Lee, Daria Altenburg, David R. Feinberg, and Benedict C. Jones. 2022 · 2022
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On the safety of conversational models: Taxonomy, dataset, and benchmark
Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, and Minlie Huang. 2022 · 2022
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A taxonomy of empathetic questions in social dialogs
Ekaterina Svikhnushina, Iuliana Voinea, Anuradha Welivita, and Pearl Pu. 2022 · 2022
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On the machine learning of ethical judgments from natural language
Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, and Adina Williams. 2022 · 2022
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Multi-party empathetic dialogue generation: A new task for dialog systems
Ling.Yu Zhu, Zhengkun Zhang, Jun Wang, Hongbin Wang, Haiying Wu, and Zhenglu Yang. 2022 · 2022
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The moral integrity corpus: A benchmark for ethical dialogue systems
Caleb Ziems, Jane Yu, Yi-Chia Wang, Alon Halevy, and Diyi Yang. 2022 · 2022
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Valentina Andries and Judy Robertson. 2023 · 2023
Closest in time.
Chatbots, deepfakes, and voice clones: AI deception for sale
Michael Atleson. 2023 · 2023
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Antonio: Towards a systematic method of generating NLP benchmarks for verification
Marco Casadio, Luca Arnaboldi, Matthew L. Daggitt, Omri Isac, Tanvi Dinkar, Daniel Kienitz, Verena Rieser, and Ekaterina Komendantskaya. 2023 · 2023
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Computer says “no”: The case against empathetic conversational AI
Alba Cercas Curry and Amanda Cercas Curry. 2023 · 2023
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Harms from increasingly agentic algorithmic systems
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, and Tegan Maharaj. 2023 · 2023
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The dangers of trusting stochastic parrots: Faithfulness and trust in open-domain conversational question answering
Sabrina Chiesurin, Dimitris Dimakopoulos, Marco Antonio Sobrevilla Cabezudo, Arash Eshghi, Ioannis Papaioannou, Verena Rieser, and Ioannis Konstas. 2023 · 2023
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Social robots as depictions of social agents
Herbert H Clark and Kerstin Fischer. 2023 · 2023
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Creating inclusive voices for the 21st century: A non-binary text-to-speech for conversational assistants
Andreea Danielescu, Sharone A Horowit-Hendler, Alexandria Pabst, Kenneth Michael Stewart, Eric M Gallo, and Matthew Peter Aylett. 2023 · 2023
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Fillers in spoken language understanding: Computational and psycholinguistic perspectives
Tanvi Dinkar, Chloé Clavel, and Ioana Vasilescu. 2023 · 2023
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Social robotics meets sociolinguistics: Investigating accent bias and social context in HRI
Mary Ellen Foster and Jane Stuart-Smith. 2023 · 2023
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Disfluency
Scott H. Fraundorf, Jennifer Arnold, and Valerie J. Langlois. 2018 · 2023
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Sen. Murphy’s tweets on ChatGPT spark backlash from former White House AI policy advisor
Sharon Goldman. 2023 · 2023
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https://developers.google.com/assistant/conversation-design/create-a-persona
Google Assistant · 2023
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Unhype artificial ‘intelligence’! A proposal to replace the deceiving terminology of AI
Francis Hunger. 2023 · 2023
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Apple will no longer make Siri’s voice female by default
Rishi Iyengar. 2021 · 2023
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AI machines aren’t ‘hallucinating’. But their makers are
Naomi Klein. 2023 · 2023
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Google’s creepy AI phone call feature will disclose it’s a robot, after backlash
Johnny Lieu. 2018 · 2023
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Sans ces conversations avec le chatbot Eliza, mon mari serait toujours là
Pierre-François Lovens. 2023 · 2023
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Riding out quarantine with a chatbot friend: ‘I feel very connected’
Cade Metz. 2020 · 2023
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Safety issues investigation in deep learning based chatbots answers to medical advice requests
Sihem Omri, Manel Abdelkader, Mohamed Hamdi, and Tai-Hoon Kim. 2023 · 2023
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Talking about large language models
Murray Shanahan. 2023 · 2023
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Tech in the dock. Should AI chatbots be used to address the nation’s loneliness problem?
Louis Stupple-Harris. 2021 · 2023
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Explore the gendering of AI voice assistants
UNESCO. 2019 · 2023
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