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Trust is often cited as an essential criterion for the effective use and real-world deployment of AI.
Understanding attitudes and predicting social behavior
Icek Ajzen and Martin Fishbein. 1980 · 1980
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Trust and antitrust
Annette Baier. 1986 · 1986
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Modeling strategic behavior in human-automation interaction: Why an" aid" can (and should) go unused
Alex Kirlik. 1993 · 1993
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An integrative model of organizational trust
Roger C. Mayer, James H. Davis, and F. David Schoorman. 1995 · 1995
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Taking advice: Accepting help, improving judgment, and sharing responsibility
Nigel Harvey and Ilan Fischer. 1997 · 1997
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Humans and Automation: Use, Misuse, Disuse, Abuse
Raja Parasuraman and Victor Riley. 1997 · 1997
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Educational and psychological measurement and evaluation
Kenneth D Hopkins. 1998 · 1998
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Not So Different After All: A Cross-Discipline View Of Trust
Denise M. Rousseau, Sim B. Sitkin, Ronald S. Burt, and Colin Camerer. 1998 · 1998
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Foundations for an Empirically Determined Scale of Trust in Automated Systems
Jiun-Yin Jian, Ann M. Bisantz, and Colin G. Drury. 2000 · 2000
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The role of trust in automation reliance
Mary T. Dzindolet, Scott A. Peterson, Regina A. Pomranky, Linda G. Pierce, and Hall P. Beck. 2003 · 2003
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The Dangers of Poor Construct Conceptualization
Scott B MacKenzie. 2003 · 2003
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Trust in automation: Designing for appropriate reliance
John D. Lee and Katrina A. See. 2004 · 2004
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The Effects of Transparency on Trust in and Acceptance of a Content-Based Art Recommender
Henriette Cramer, Vanessa Evers, Satyan Ramlal, Maarten Someren, Lloyd Rutledge, Natalia Stash, Lora Aroyo, and Bob Wielinga. 2008 · 2008
Earlier work this paper cites.
Affective processes in human–automation interactions
Stephanie M. Merritt. 2011 · 2011
Earlier work this paper cites.
A framework for explaining reliance on decision aids
Kees Van Dongen and Peter-Paul Van Maanen. 2013 · 2012
Cited alongside, same era.
The Impact of Explanation Dialogues on Human-Computer Trust. In Proceedings, Part III, of the 15th International Conference on Human-Computer Interaction. Users and Contexts of Use - Volume 8006 . Springer-Verlag, Berlin, Heidelberg, 59–67
Florian Nothdurft, Tobias Heinroth, and Wolfgang Minker. 2013 · 2013
Cited alongside, same era.
Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust
Kevin A. Hoff and Masooda Bashir. 2015 · 2015
Cited alongside, same era.
Behavioral measurement of trust in automation: the trust fall
David Miller, Mishel Johns, Brian Mok, Nikhil Gowda, David Sirkin, Key Lee, and Wendy Ju. 2016 · 2016
Cited alongside, same era.
A meta-analysis of factors influencing the development of trust in automation: Implications for understanding autonomy in future systems
Kristin E Schaefer, Jessie YC Chen, James L Szalma, and Peter A Hancock. 2016 · 2016
Automated Rationale Generation: A Technique for Explainable AI and Its Effects on Human Perceptions. In Proceedings of the 24th International Conference on Intelligent User Interfaces (Marina del Ray, California) (IUI ’19) . ACM, New York, NY, USA, 263–274
Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark O. Riedl. 2019 · 2019
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On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection. In Proceedings of the Conference on Fairness, Accountability, and Transparency (Atlanta, GA, USA) (FAT* ’19) . ACM, New York, NY, USA, 29–38
Vivian Lai and Chenhao Tan. 2019 · 2019
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Seven HCI Grand Challenges
Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Jessie Y. C. Chen, Jianming Dong, Vincent G. Duffy, Xiaowen Fang, Cali Fidopiastis, Gino Fragomeni, Limin Paul Fu, Yinni Guo, Don Harris, Andri Ioannou, Kyeong-ah Jeong, Shin’ichi Konomi, Heidi Krömker, Masaaki Kurosu, James R. Lewis, Aaron Marcus, Gabriele Meiselwitz, Abbas Moallem, Hirohiko Mori, Fiona Fui-Hoon Nah, Stavroula Ntoa, Pei-Luen Patrick Rau, Dylan Schmorrow, Keng Siau, Norbert Streitz, Wentao Wang, Sakae Yamamoto, Panayiotis Zaphiris, and Jia Zhou. 2019 · 2019
Later among the works it cites.
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Cited alongside, same era.
Trust and the compliance–reliance paradigm: The effects of risk, error bias, and reliability on trust and dependence
Eric T Chancey, James P Bliss, Yusuke Yamani, and Holly AH Handley. 2017 · 2017
Cited alongside, same era.
Scale development: Theory and applications (Fourth Edition) . Vol. 26
Robert F. DeVellis. 2017 · 2017
Cited alongside, same era.
User Trust Dynamics: An Investigation Driven by Differences in System Performance. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (Limassol, Cyprus) (IUI ’17) . ACM, New York, NY, USA, 307–317
Kun Yu, Shlomo Berkovsky, Ronnie Taib, Dan Conway, Jianlong Zhou, and Fang Chen. 2017 · 2017
Cited alongside, same era.
Metrics for Explainable AI: Challenges and Prospects
Robert R. Hoffman, Shane T. Mueller, Gary Klein, and Jordan Litman. 2018 · 2018
Cited alongside, same era.
Theoretical considerations and development of a questionnaire to measure trust in automation. In Proceedings of the 20th Congress of the International Ergonomics Association (Florence, Italy) (IEA ’18) . Springer International Publishing, Cham, CH, 13–30
Moritz Körber. 2018 · 2018
Cited alongside, same era.
The Mythos of Model Interpretability
Zachary C. Lipton. 2018 · 2018
Cited alongside, same era.
Algorithm appreciation: People prefer algorithmic to human judgment
Jennifer M. Logg, Julia A. Minson, and Don A. Moore. 2019 · 2018
Cited alongside, same era.
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems. In Proceedings of the 25th International Conference on Intelligent User Interfaces (Cagliari, Italy) (IUI ’20) . ACM, New York, NY, USA, 454–464
Zana Buçinca, Phoebe Lin, Krzysztof Z. Gajos, and Elena L. Glassman. 2020 · 2020
Later among the works it cites.
Vertrauen - Die unsichtbare Macht
Martin Hartmann. 2020 · 2020
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Trust mediating reliability–reliance relationship in supervisory control of human–swarm interactions
Aya Hussein, Sondoss Elsawah, and Hussein A Abbass. 2020 · 2020
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Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20) . ACM, New York, NY, USA, 1–15
Q. Vera Liao, Daniel Gruen, and Sarah Miller. 2020 · 2020
Later among the works it cites.
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20) . ACM, New York, NY, USA, 295–305
Yunfeng Zhang, Q. Vera Liao, and Rachel K. E. Bellamy. 2020 · 2020
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Operationalizing Human-Centered Perspectives in Explainable AI
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Martina Mara, Marc Streit, Sandra Wachter, Andreas Riener, and Mark O. Riedl. 2021 · 2021
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Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Virtual Event, Canada) (FAccT ’21) . ACM, New York, NY, USA, 624–635
Alon Jacovi, Ana Marasović, Tim Miller, and Yoav Goldberg. 2021 · 2021
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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni, Niloofar Zarei, and Eric D. Ragan. 2021 · 2021
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Interfaces for Explanations in Human-AI Interaction: Proposing a Design Evaluation Approach
Henrik Mucha, Sebastian Robert, Ruediger Breitschwerdt, and Michael Fellmann. 2021 · 2021
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Manipulating and Measuring Model Interpretability. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21) . ACM, New York, NY, USA, Article 237, 52 pages
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Wortman Vaughan, and Hanna Wallach. 2021 · 2021
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ACM Conference on Fairness, Accountability, and Transparency 2022 (ACM FAccT 2022) Call For Papers
ACM FAccT Conference. 2022 · 2022
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