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People now regularly interface with Large Language Models (LLMs) via speech and text (e.g., Bard) interfaces.
Disambiguating anthropomorphism: An interdisciplinary review
John Andrew Fisher. 1991 · 1991
Earlier work this paper cites.
Computers are social actors. In Proceedings of the SIGCHI conference on Human factors in computing systems . ACM, Boston, Massachusetts, USA, 72–78
Clifford Nass, Jonathan Steuer, and Ellen R. Tauber. 1994 · 1994
Earlier work this paper cites.
Computers are social actors: A review of current research
Clifford Nass, Youngme Moon, John Morkes, Eun-Young Kim, and B. J. Fogg. 1997 · 1997
Earlier work this paper cites.
Are people polite to computers? Responses to computer-based interviewing systems 1
Clifford Nass, Youngme Moon, and Paul Carney. 1999 · 1999
Earlier work this paper cites.
The effect of communication modality on cooperation in online environments. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems . 470–477
Carlos Jensen, Shelly D Farnham, Steven M Drucker, and Peter Kollock. 2000 · 2000
Earlier work this paper cites.
Machines and mindlessness: Social responses to computers
Clifford Nass and Youngme Moon. 2000 · 2000
Earlier work this paper cites.
The effects of image and animation in enhancing pedagogical agent persona
Amy L Baylor and Jeeheon Ryu. 2003 · 2003
Earlier work this paper cites.
Online consumer trust and live help interfaces: The effects of text-to-speech voice and three-dimensional avatars
Lingyun Qiu and Izak Benbasat. 2005 · 2005
Earlier work this paper cites.
On seeing human: a three-factor theory of anthropomorphism
Nicholas Epley, Adam Waytz, and John T Cacioppo. 2007 · 2007
Earlier work this paper cites.
How social is social responses to computers? The function of the degree of anthropomorphism in computer representations
Li Gong. 2008 · 2008
Earlier work this paper cites.
Media Equation Theory . Vol. 1
Kwan Min Lee. 2008 · 2008
Earlier work this paper cites.
Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots
Christoph Bartneck, Dana Kulić, Elizabeth Croft, and Susana Zoghbi. 2009 · 2009
Earlier work this paper cites.
Evaluating anthropomorphic product recommendation agents: A social relationship perspective to designing information systems
Lingyun Qiu and Izak Benbasat. 2009 · 2009
Earlier work this paper cites.
Who sees human? The stability and importance of individual differences in anthropomorphism
Adam Waytz, John Cacioppo, and Nicholas Epley. 2010 · 2010
Earlier work this paper cites.
A meta-analysis of factors affecting trust in human-robot interaction
Peter A Hancock, Deborah R Billings, Kristin E Schaefer, Jessie YC Chen, Ewart J De Visser, and Raja Parasuraman. 2011 · 2011
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.
The uncanny valley [from the field]
Masahiro Mori, Karl F MacDorman, and Norri Kageki. 2012 · 2012
Earlier work this paper cites.
Credibility and trust of information in online environments: The use of cognitive heuristics
Miriam J Metzger and Andrew J Flanagin. 2013 · 2013
Earlier work this paper cites.
Analysis of ordinal data with cumulative link models—estimation with the R-package ordinal
Rune Haubo B. Christensen. 2015 · 2014
Cited alongside, same era.
The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle
Adam Waytz, Joy Heafner, and Nicholas Epley. 2014 · 2014
Cited alongside, same era.
Voice anthropomorphism, interlocutor modelling and alignment effects on syntactic choices in human-computer dialogue
Benjamin R. Cowan, Holly P. Branigan, Mateo Obregón, Enas Bugis, and Russell Beale. 2015 · 2015
Cited alongside, same era.
“Alexa is My New BFF”: Social Roles, User Satisfaction, and Personification of the Amazon Echo. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17) . ACM, Denver, Colorado, USA, 2853–2859
Amanda Purington, Jessie G. Taft, Shruti Sannon, Natalya N. Bazarova, and Samuel Hardman Taylor. 2017 · 2017
Cited alongside, same era.
Synthesising Uncertainty: The Interplay of Vocal Effort and Hesitation Disfluencies.. In INTERSPEECH . 804–808
Systematic review: Trust-building factors and implications for conversational agent design
Minjin Rheu, Ji Youn Shin, Wei Peng, and Jina Huh-Yoo. 2021 · 2021
Later among the works it cites.
A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction
Eileen Roesler, Dietrich Manzey, and Linda Onnasch. 2021 · 2021
Later among the works it cites.
Exploring interactions between trust, anthropomorphism, and relationship development in voice assistants
William Seymour and Max Van Kleek. 2021 · 2021
Later among the works it cites.
Ethical and social risks of harm from language models
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, et al · 2021
Later among the works it cites.
Conversational Agents Trust Calibration: A User-Centred Perspective to Design. In Proceedings of the 4th Conference on Conversational User Interfaces . 1–6
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Eva Székely, Joseph Mendelson, and Joakim Gustafson. 2017 · 2017
Cited alongside, same era.
Trust in artificial voices: A" congruency effect" of first impressions and behavioural experience
Ilaria Torre, Jeremy Goslin, Laurence White, and Debora Zanatto. 2018 · 2018
Cited alongside, same era.
Music, search, and IoT: How people (really) use voice assistants
Tawfiq Ammari, Jofish Kaye, Janice Y Tsai, and Frank Bentley. 2019 · 2019
Cited alongside, same era.
Trust in humanoid robots: implications for services marketing
Michelle ME Van Pinxteren, Ruud WH Wetzels, Jessica Rüger, Mark Pluymaekers, and Martin Wetzels. 2019 · 2019
Cited alongside, same era.
Understanding the effect of accuracy on trust in machine learning models. In Proceedings of the 2019 chi conference on human factors in computing systems . 1–12
Ming Yin, Jennifer Wortman Vaughan, and Hanna Wallach. 2019 · 2019
Cited alongside, same era.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Perception of concatenative vs. neural text-to-speech (TTS): Differences in intelligibility in noise and language attitudes. In Proceedings of Interspeech
Michelle Cohn and Georgia Zellou. 2020 · 2020
Cited alongside, same era.
On measuring and mitigating biased inferences of word embeddings. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 34. 7659–7666
Sunipa Dev, Tao Li, Jeff M Phillips, and Vivek Srikumar. 2020 · 2020
Cited alongside, same era.
Mateusz Dubiel, Sylvain Daronnat, and Luis A Leiva. 2022 · 2022
Later among the works it cites.
The effect of personal pronouns on users and the social role of conversational agents
Jianhong Qu, Ronggang Zhou, and Zhe Chen. 2022 · 2022
Later among the works it cites.
Large language models show human-like content biases in transmission chain experiments
Alberto Acerbi and Joseph M Stubbersfield. 2023 · 2023
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A comparison of ChatGPT-generated articles with human-written articles
Sisith Ariyaratne, Karthikeyan P Iyengar, Neha Nischal, Naparla Chitti Babu, and Rajesh Botchu. 2023 · 2023
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Google bard can now speak loud and clear as update introduces speech feature
Cesar Cadenas. 2023 · 2023
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What generative AI means for trust in health communications
Adam G Dunn, Ivy Shih, Julie Ayre, and Heiko Spallek. 2023 · 2023
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" I wouldn’t say offensive but…": Disability-Centered Perspectives on Large Language Models. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency . 205–216
Vinitha Gadiraju, Shaun Kane, Sunipa Dev, Alex Taylor, Ding Wang, Emily Denton, and Robin Brewer. 2023 · 2023
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Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers
Catherine A Gao, Frederick M Howard, Nikolay S Markov, Emma C Dyer, Siddhi Ramesh, Yuan Luo, and Alexander T Pearson. 2023 · 2023
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Siri, you’ve changed! Acoustic properties and racialized judgments of voice assistants
Nicole Holliday. 2023 · 2023
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Do You Trust ChatGPT?–Perceived Credibility of Human and AI-Generated Content
Martin Huschens, Martin Briesch, Dominik Sobania, and Franz Rothlauf. 2023 · 2023
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Personality traits in large language models
Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, and Maja Matarić. 2023 · 2023
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Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges
Sivan Schwartz, Avi Yaeli, and Segev Shlomov. 2023 · 2023
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A brief overview of ChatGPT: The history, status quo and potential future development
Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, and Yang Tang. 2023 · 2023
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The dynamics of human–robot trust attitude and behavior—Exploring the effects of anthropomorphism and type of failure
Eileen Roesler, Meret Vollmann, Dietrich Manzey, and Linda Onnasch. 2024 · 2024
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