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Explainability of AI systems is critical for users to take informed actions.
The Discovery of Grounded Theory: Strategies for Qualitative Research
Barney Glaser and Anselm Strauss. 1967 · 1967
Earlier work this paper cites.
Dual processes in reasoning?
Peter C Wason and J St BT Evans. 1974 · 1974
Earlier work this paper cites.
The mindlessness of ostensibly thoughtful action: The role of" placebic" information in interpersonal interaction
Ellen J Langer, Arthur Blank, and Benzion Chanowitz. 1978 · 1978
Earlier work this paper cites.
Regression models for ordinal data
Peter McCullagh. 1980 · 1980
Earlier work this paper cites.
XPLAIN: A system for creating and explaining expert consulting programs
William R Swartout. 1983 · 1983
Earlier work this paper cites.
Cognitive heuristics
Steven J Sherman and Eric Corty. 1984 · 1984
Earlier work this paper cites.
The elaboration likelihood model of persuasion
Richard E Petty and John T Cacioppo. 1986 · 1986
Earlier work this paper cites.
Explanation in expert systemss: A survey
Johanna D Moore and William R Swartout. 1988 · 1988
Earlier work this paper cites.
User acceptance of computer technology: a comparison of two theoretical models
Fred D Davis, Richard P Bagozzi, and Paul R Warshaw. 1989 · 1989
Earlier work this paper cites.
Basics of Qualitative Research: Grounded Theory Techniques and Procedures
Anselm Strauss and Juliet M. Corbin. 1990 · 1990
Earlier work this paper cites.
The nature of rapport and its nonverbal correlates
Linda Tickle-Degnen and Robert Rosenthal. 1990 · 1990
Earlier work this paper cites.
Q-learning
Christopher JCH Watkins and Peter Dayan. 1992 · 1992
Earlier work this paper cites.
Professional Vision
Charles Goodwin. 1994 · 1994
Earlier work this paper cites.
Agents that Learn to Explain Themselves.. In AAAI . 1257–1263
W Lewis Johnson. 1994 · 1994
Earlier work this paper cites.
Machines, social attributions, and ethopoeia: Performance assessments of computers subsequent to" self-" or" other-" evaluations
Clifford Nass, Jonathan Steuer, Lisa Henriksen, and D Christopher Dryer. 1994 · 1994
Earlier work this paper cites.
Sensemaking in Organizations
Karl E. Weick. 1995 · 1995
Earlier work this paper cites.
Agents with faces: The effect of personification. In Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN’96 TSUKUBA . IEEE, 189–194
Tomoko Koda and Pattie Maes. 1996 · 1996
Earlier work this paper cites.
Can computers be teammates?
Clifford Nass, BJ Fogg, and Youngme Moon. 1996 · 1996
Earlier work this paper cites.
Toward a critical technical practice: Lessons learned in trying to reform AI in Bowker
P Agre. 1997 · 1997
Earlier work this paper cites.
Computation and human experience
Philip Agre and Philip E Agre. 1997 · 1997
Earlier work this paper cites.
Human centered systems in the perspective of organizational and social informatics
Rob Kling and Susan Leigh Star. 1998 · 1998
Earlier work this paper cites.
An explainable artificial intelligence system for small-unit tactical behavior. In Proceedings of the national conference on artificial intelligence . Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999, 900–907
Michael Van Lent, William Fisher, and Michael Mancuso. 2004 · 1999
Earlier work this paper cites.
Machines and mindlessness: Social responses to computers
Clifford Nass and Youngme Moon. 2000 · 2000
Earlier work this paper cites.
Changing minds: Computers, learning, and literacy
Andrea A DiSessa. 2001 · 2001
Earlier work this paper cites.
Interaction effects in logistic regression . Vol. 135
James Jaccard. 2001 · 2001
Earlier work this paper cites.
What good is an explanation?
Peter Lipton. 2001 · 2001
Earlier work this paper cites.
Modern Applied Statistics with S (fourth ed.)
W. N. Venables and B. D. Ripley. 2002 · 2002
Earlier work this paper cites.
Categorical data analysis . Vol. 482
Alan Agresti. 2003 · 2003
Earlier work this paper cites.
An exploratory cognitive DSS for strategic decision making
Jim Q Chen and Sang M Lee. 2003 · 2003
Earlier work this paper cites.
Cognitive forcing strategies in clinical decisionmaking
Pat Croskerry. 2003 · 2003
Earlier work this paper cites.
User acceptance of information technology: Toward a unified view
Viswanath Venkatesh, Michael G Morris, Gordon B Davis, and Fred D Davis. 2003 · 2003
Earlier work this paper cites.
Towards caring machines. In CHI’04 extended abstracts on Human factors in computing systems . 1489–1492
Timothy W Bickmore and Rosalind W Picard. 2004 · 2004
Earlier work this paper cites.
Increasing Replayability with Deliberative and Reactive Planning. In 1st Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE) . Maria Del Rey, California, 135–140
Michael van Lent, , Paul Carpenter, Ryan McAlinden, and Paul Brobst. 2005 · 2005
Earlier work this paper cites.
Building Explainable Artificial Intelligence Systems. In Proceedings of the 18th Innovative Applications of Artificial Intelligence Conference . Boston, MA
Mark Core, H. Chad Lane, Michael van Lent, Dave Gomboc, Steve Solomon, and Milton Rosenberg. 2006 · 2006
Earlier work this paper cites.
Designing for appropriation. In Proceedings of HCI 2007 The 21st British HCI Group Annual Conference University of Lancaster, UK 21 . 1–4
Alan Dix. 2007 · 2007
Earlier work this paper cites.
Guest Editors’ Introduction: Human-Centered Computing–Toward a Human Revolution
Alejandro Jaimes, Daniel Gatica-Perez, Nicu Sebe, and Thomas S Huang. 2007 · 2007
Earlier work this paper cites.
Action research third edition
Ernest T Stringer. 2007 · 2007
Earlier work this paper cites.
Origins and concepts of digital literacy
David Bawden et al · 2008
Earlier work this paper cites.
Crowdsourcing user studies with Mechanical Turk. In Proceedings of the SIGCHI conference on human factors in computing systems . 453–456
Aniket Kittur, Ed H Chi, and Bongwon Suh. 2008 · 2008
Earlier work this paper cites.
Inventing new uses for tools: a cognitive foundation for studies on appropriation
Antti Salovaara. 2008 · 2008
Earlier work this paper cites.
Implementing a class of permutation tests: the coin package
Achim Zeileis, Mark A Wiel, Kurt Hornik, and Torsten Hothorn. 2008 · 2008
Earlier work this paper cites.
Why and Why Not Explanations Improve the Intelligibility of Context-aware Intelligent Systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’09) . ACM, New York, NY, USA, 2119–2128
Brian Y Lim, Anind K Dey, and Daniel Avrahami. 2009 · 2009
Earlier work this paper cites.
Generalizability and transferability of meta-synthesis research findings
Deborah Finfgeld-Connett. 2010 · 2010
Earlier work this paper cites.
Utilization of internet technology by low-income adults: the role of health literacy, health numeracy, and computer assistance
Jakob D Jensen, Andy J King, LaShara A Davis, and Lisa M Guntzviller. 2010 · 2010
Earlier work this paper cites.
Receptionist or information kiosk: how do people talk with a robot?. In Proceedings of the 2010 ACM conference on Computer supported cooperative work . 31–40
Min Kyung Lee, Sara Kiesler, and Jodi Forlizzi. 2010a · 2010
Earlier work this paper cites.
Gracefully mitigating breakdowns in robotic services. In Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on . IEEE, 203–210
Min Kyung Lee, Sara Kiesler, Jodi Forlizzi, Siddhartha Srinivasa, and Paul Rybski. 2010b · 2010
Earlier work this paper cites.
Artificial intelligence a modern approach
Stuart J Russell and Peter Norvig. 2010 · 2010
Earlier work this paper cites.
No fair!! an interaction with a cheating robot. In 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 219–226
Elaine Short, Justin Hart, Michelle Vu, and Brian Scassellati. 2010 · 2010
Earlier work this paper cites.
The viability of crowdsourcing for survey research
Tara S Behrend, David J Sharek, Adam W Meade, and Eric N Wiebe. 2011 · 2011
Earlier work this paper cites.
The relationship of action research to human-computer interaction
Gillian R Hayes. 2011 · 2011
Earlier work this paper cites.
Thinking, fast and slow
Daniel Kahneman. 2011 · 2011
Earlier work this paper cites.
The instrumental value of explanations
Tania Lombrozo. 2011 · 2011
Earlier work this paper cites.
A validation of Amazon Mechanical Turk for the collection of acceptability judgments in linguistic theory
Jon Sprouse. 2011 · 2011
Earlier work this paper cites.
The logic of annotated portfolios: communicating the value of’research through design’. In Proceedings of the Designing Interactive Systems Conference . 68–77
John Bowers. 2012 · 2012
Earlier work this paper cites.
First impressions: Users’ judgments of virtual agents’ personality and interpersonal attitude in first encounters. In International conference on intelligent virtual agents . Springer, 67–80
Angelo Cafaro, Hannes Högni Vilhjálmsson, Timothy Bickmore, Dirk Heylen, Kamilla Rún Jóhannsdóttir, and Gunnar Steinn Valgarðsson. 2012 · 2012
Earlier work this paper cites.
The nonsense math effect
Kimmo Eriksson. 2012 · 2012
Earlier work this paper cites.
The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention
Tung-Ching Lin, Sheng Wu, Jack Shih-Chieh Hsu, and Yi-Ching Chou. 2012 · 2012
Earlier work this paper cites.
Explanation and abductive inference
Tania Lombrozo. 2012 · 2012
Cited alongside, same era.
Computer-based medical consultations: MYCIN . Vol. 2
Edward Shortliffe. 2012 · 2012
Cited alongside, same era.
Adoption and appropriation: A design process from HCI research at a Brazilian neurological hospital. In IFIP Conference on Human-Computer Interaction . Springer, 356–363
Junia Anacleto and Sidney Fels. 2013 · 2013
Cited alongside, same era.
Statistical procedures for forecasting criminal behavior: A comparative assessment
Richard A Berk and Justin Bleich. 2013 · 2013
Cited alongside, same era.
Impact of robot failures and feedback on real-time trust. In Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction . IEEE Press, 251–258
Munjal Desai, Poornima Kaniarasu, Mikhail Medvedev, Aaron Steinfeld, and Holly Yanco. 2013 · 2013
Cited alongside, same era.
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Samir Passi and Steven J. Jackson. 2018 · 2018
Later among the works it cites.
Distill-and-compare: Auditing black-box models using transparent model distillation. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society . 303–310
Sarah Tan, Rich Caruana, Giles Hooker, and Yin Lou. 2018 · 2018
Later among the works it cites.
Interpretable to whom? A role-based model for analyzing interpretable machine learning systems
Richard Tomsett, Dave Braines, Dan Harborne, Alun Preece, and Supriyo Chakraborty. 2018 · 2018
Later among the works it cites.
The effects of example-based explanations in a machine learning interface. In Proceedings of the 24th International Conference on Intelligent User Interfaces . 258–262
Carrie J Cai, Jonas Jongejan, and Jess Holbrook. 2019 · 2019
Later among the works it cites.
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Nonparametric statistical methods . Vol. 751
Myles Hollander, Douglas A Wolfe, and Eric Chicken. 2013 · 2013
Cited alongside, same era.
Too much, too little, or just right? Ways explanations impact end users’ mental models. In 2013 IEEE Symposium on visual languages and human centric computing . IEEE, 3–10
Todd Kulesza, Simone Stumpf, Margaret Burnett, Sherry Yang, Irwin Kwan, and Weng-Keen Wong. 2013 · 2013
Cited alongside, same era.
The design of everyday things: Revised and expanded edition
Don Norman. 2013 · 2013
Cited alongside, same era.
Constructing Grounded Theory (Introducing Qualitative Methods series) 2nd Edition
Kathy Charmaz. 2014 · 2014
Cited alongside, same era.
Modeling and Controlling Friendliness for An Interactive Museum Robot.. In Robotics: Science and Systems . 12–16
Chien-Ming Huang, Takamasa Iio, Satoru Satake, and Takayuki Kanda. 2014 · 2014
Cited alongside, same era.
From critical design to critical infrastructure: lessons from turkopticon
Lilly Irani and M Six Silberman. 2014 · 2014
Cited alongside, same era.
Explanation and inference: Mechanistic and functional explanations guide property generalization
Tania Lombrozo and Nicholas Z Gwynne. 2014 · 2014
Cited alongside, same era.
Stevie Chancellor, Eric PS Baumer, and Munmun De Choudhury. 2019 · 2019
Later among the works it cites.
Explaining decision-making algorithms through UI: Strategies to help non-expert stakeholders. In Proceedings of the 2019 chi conference on human factors in computing systems . 1–12
Hao-Fei Cheng, Ruotong Wang, Zheng Zhang, Fiona O’Connell, Terrance Gray, F Maxwell Harper, and Haiyi Zhu. 2019 · 2019
Later among the works it cites.
Dark Patterns of Explainability, Transparency, and User Control for Intelligent Systems.. In IUI workshops , Vol. 2327
Michael Chromik, Malin Eiband, Sarah Theres Völkel, and Daniel Buschek. 2019 · 2019
Later among the works it cites.
Explaining models: an empirical study of how explanations impact fairness judgment. In Proceedings of the 24th International Conference on Intelligent User Interfaces . 275–285
Jonathan Dodge, Q Vera Liao, Yunfeng Zhang, Rachel KE Bellamy, and Casey Dugan. 2019 · 2019
Later among the works it cites.
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. In Proceedings of the International Conference on Intelligence User Interfaces
Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark Riedl. 2019 · 2019
Later among the works it cites.
The Impact of Placebic Explanations on Trust in Intelligent Systems. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA ’19) . Association for Computing Machinery, New York, NY, USA, 1–6
Malin Eiband, Daniel Buschek, Alexander Kremer, and Heinrich Hussmann. 2019 · 2019
Later among the works it cites.
Ghost work: How to stop Silicon Valley from building a new global underclass
Mary L Gray and Siddharth Suri. 2019 · 2019
Later among the works it cites.
AI is sending people to jail – and getting it wrong
Karen Hao. 2019 · 2019
Later among the works it cites.
Gamut: A design probe to understand how data scientists understand machine learning models. In Proceedings of the 2019 CHI conference on human factors in computing systems . 1–13
Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, and Steven M Drucker. 2019 · 2019
Later among the works it cites.
Bridging ai developers and end users: an end-user-centred explainable ai taxonomy and visual vocabularies
Weina Jin, Sheelagh Carpendale, Ghassan Hamarneh, and Diane Gromala. 2019 · 2019
Later among the works it cites.
Artificial Intelligence and Surgical Decision-making
Tyler J. Loftus, Patrick J. Tighe, Amanda C. Filiberto, Philip A. Efron, Scott C. Brakenridge, Alicia M. Mohr, Parisa Rashidi, Jr Upchurch, Gilbert R., and Azra Bihorac. 2020 · 2019
Later among the works it cites.
Mechanistic versus functional understanding
Tania Lombrozo and Daniel Wilkenfeld. 2019 · 2019
Later among the works it cites.
Explanation in artificial intelligence: Insights from the social sciences
Tim Miller. 2019 · 2019
Later among the works it cites.
Human-Centered Study of Data Science Work Practices. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI EA ’19) . Association for Computing Machinery, New York, NY, USA, 1–8
Michael Muller, Melanie Feinberg, Timothy George, Steven J. Jackson, Bonnie E. John, Mary Beth Kery, and Samir Passi. 2019 · 2019
Later among the works it cites.
The impact of user characteristics and preferences on performance with an unfamiliar voice user interface. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–9
Chelsea M Myers, Anushay Furqan, and Jichen Zhu. 2019 · 2019
Later among the works it cites.
The pragmatic turn in explainable artificial intelligence (XAI)
Andrés Páez. 2019 · 2019
Later among the works it cites.
Problem Formulation and Fairness. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT* ’19) . ACM, New York, NY, 39–48
Samir Passi and Solon Barocas. 2019 · 2019
Later among the works it cites.
Explainability in human–agent systems
Avi Rosenfeld and Ariella Richardson. 2019 · 2019
Later among the works it cites.
A framework for understanding unintended consequences of machine learning
Harini Suresh and John V Guttag. 2019 · 2019
Later among the works it cites.
Generalized linear rule models. In International Conference on Machine Learning . PMLR, 6687–6696
Dennis Wei, Sanjeeb Dash, Tian Gao, and Oktay Gunluk. 2019 · 2019
Later among the works it cites.
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–14
Ashraf Abdul, Christian von der Weth, Mohan Kankanhalli, and Brian Y Lim. 2020 · 2020
Later among the works it cites.
Evaluating saliency map explanations for convolutional neural networks: a user study. In Proceedings of the 25th International Conference on Intelligent User Interfaces . 275–285
Ahmed Alqaraawi, Martin Schuessler, Philipp Weiß, Enrico Costanza, and Nadia Berthouze. 2020 · 2020
Later among the works it cites.
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al · 2020
Later among the works it cites.
Proxy tasks and subjective measures can be misleading in evaluating explainable ai systems. In Proceedings of the 25th International Conference on Intelligent User Interfaces . 454–464
Zana Buçinca, Phoebe Lin, Krzysztof Z Gajos, and Elena L Glassman. 2020 · 2020
Later among the works it cites.
Leveraging rationales to improve human task performance. In Proceedings of the 25th International Conference on Intelligent User Interfaces . 510–518
Devleena Das and Sonia Chernova. 2020 · 2020
Later among the works it cites.
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Upol Ehsan and Mark O Riedl. 2020 · 2020
Later among the works it cites.
Artificial Intelligence, Values, and Alignment
Iason Gabriel. 2020 · 2020
Later among the works it cites.
Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) . Association for Computing Machinery, New York, NY, USA, 1–14
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan. 2020a · 2020
Later among the works it cites.
Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–14
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan. 2020b · 2020
Later among the works it cites.
Questioning the AI: informing design practices for explainable AI user experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–15
Q Vera Liao, Daniel Gruen, and Sarah Miller. 2020 · 2020
Later among the works it cites.
What is AI Literacy? Competencies and Design Considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20) . Association for Computing Machinery, New York, NY, USA, 1–16
Duri Long and Brian Magerko. 2020 · 2020
Later among the works it cites.
Intersectional AI: A Study of How Information Science Students Think about Ethics and Their Impact
Nora McDonald and Shimei Pan. 2020 · 2020
Later among the works it cites.
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
Milagros Miceli, Martin Schuessler, and Tianling Yang. 2020 · 2020
Later among the works it cites.
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni, Niloofar Zarei, and Eric D. Ragan. 2020 · 2020
Later among the works it cites.
Mortgage Providers Look to AI to Process Home Loans Faster
John Murawski. 2019 · 2020
Later among the works it cites.
Making data science systems work
Samir Passi and Phoebe Sengers. 2020 · 2020
Later among the works it cites.
The Age of Secrecy and Unfairness in Recidivism Prediction
Cynthia Rudin, Caroline Wang, and Beau Coker. 2020 · 2020
Later among the works it cites.
No explainability without accountability: An empirical study of explanations and feedback in interactive ml. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–13
Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan Boyd-Graber, Daniel S Weld, and Leah Findlater. 2020 · 2020
Later among the works it cites.
Technology acceptance theories and factors influencing artificial intelligence-based intelligent products
Kwonsang Sohn and Ohbyung Kwon. 2020 · 2020
Later among the works it cites.
Effects of a Social Robot’s Self-Explanations on How Humans Understand and Evaluate Its Behavior. In Proceedings of the 2020 ACM/IEEE international conference on human-robot interaction . 619–627
Sonja Stange and Stefan Kopp. 2020 · 2020
Later among the works it cites.
Factors influencing perceived fairness in algorithmic decision-making: Algorithm outcomes, development procedures, and individual differences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–14
Ruotong Wang, F Maxwell Harper, and Haiyi Zhu. 2020 · 2020
Later among the works it cites.
I Think I Get Your Point, AI! The Illusion of Explanatory Depth in Explainable AI. In 26th International Conference on Intelligent User Interfaces . 307–317
Michael Chromik, Malin Eiband, Felicitas Buchner, Adrian Krüger, and Andreas Butz. 2021 · 2021
Closest in time.
Explainable ai for robot failures: Generating explanations that improve user assistance in fault recovery. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction . 351–360
Devleena Das, Siddhartha Banerjee, and Sonia Chernova. 2021 · 2021
Closest in time.
Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle. In Designing Interactive Systems Conference 2021 . 1591–1602
Shipi Dhanorkar, Christine T Wolf, Kun Qian, Anbang Xu, Lucian Popa, and Yunyao Li. 2021 · 2021
Closest in time.
Explainability pitfalls: Beyond dark patterns in explainable AI
Upol Ehsan and Mark O Riedl. 2021 · 2021
Closest in time.
How to support users in understanding intelligent systems? Structuring the discussion. In 26th International Conference on Intelligent User Interfaces . 120–132
Malin Eiband, Daniel Buschek, and Heinrich Hussmann. 2021 · 2021
Closest in time.
Explainable Active Learning (XAL) Toward AI Explanations as Interfaces for Machine Teachers
Bhavya Ghai, Q Vera Liao, Yunfeng Zhang, Rachel Bellamy, and Klaus Mueller. 2021 · 2021
Closest in time.
Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems. In 26th International Conference on Intelligent User Interfaces . 340–350
Mahsan Nourani, Chiradeep Roy, Jeremy E Block, Donald R Honeycutt, Tahrima Rahman, Eric Ragan, and Vibhav Gogate. 2021 · 2021
Closest in time.
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Upol Ehsan, Q Vera Liao, Samir Passi, Mark O Riedl, and Hal Daume III. 2022 · 2022
Closest in time.
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Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, and Vibhav Gogate. 2022 · 2022
Closest in time.
Overreliance on AI: Literature Review
Samir Passi and Mihaela Vorvoreanu. 2022 · 2022
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Show, attend and tell: Neural image caption generation with visual attention. In International conference on machine learning . 2048–2057
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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