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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted
  Decision-making

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

15 October 2020
Charvi Rastogi
Yunfeng Zhang
Dennis L. Wei
Kush R. Varshney
Amit Dhurandhar
Richard J. Tomsett
    HAI
ArXivPDFHTML

Papers citing "Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making"

38 / 38 papers shown
Title
Trapped by Expectations: Functional Fixedness in LLM-Enabled Chat Search
Trapped by Expectations: Functional Fixedness in LLM-Enabled Chat Search
Jiqun Liu
Jamshed Karimnazarov
Ryen W. White
36
0
0
02 Apr 2025
Iffy-Or-Not: Extending the Web to Support the Critical Evaluation of Fallacious Texts
Iffy-Or-Not: Extending the Web to Support the Critical Evaluation of Fallacious Texts
Gionnieve Lim
Juho Kim
S. Perrault
51
0
0
18 Mar 2025
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
Zhuoyan Li
Hangxiao Zhu
Zhuoran Lu
Ziang Xiao
Ming Yin
47
0
0
17 Feb 2025
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
Gaole He
Gianluca Demartini
U. Gadiraju
LLMAG
65
8
0
03 Feb 2025
Towards Human-centered Design of Explainable Artificial Intelligence
  (XAI): A Survey of Empirical Studies
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
Shuai Ma
27
0
0
28 Oct 2024
How Performance Pressure Influences AI-Assisted Decision Making
How Performance Pressure Influences AI-Assisted Decision Making
Nikita Haduong
Noah A. Smith
19
0
0
21 Oct 2024
Give Me a Choice: The Consequences of Restricting Choices Through
  AI-Support for Perceived Autonomy, Motivational Variables, and Decision
  Performance
Give Me a Choice: The Consequences of Restricting Choices Through AI-Support for Perceived Autonomy, Motivational Variables, and Decision Performance
Cedric Faas
Richard Bergs
Sarah Sterz
Markus Langer
Anna Maria Feit
21
1
0
10 Oct 2024
Comparing Zealous and Restrained AI Recommendations in a Real-World
  Human-AI Collaboration Task
Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task
Chengyuan Xu
Kuo-Chin Lien
Tobias Höllerer
27
10
0
06 Oct 2024
Bridging the Gap in Hybrid Decision-Making Systems
Bridging the Gap in Hybrid Decision-Making Systems
Federico Mazzoni
Roberto Pellungrini
Riccardo Guidotti
28
0
0
28 Sep 2024
Effect of Adaptation Rate and Cost Display in a Human-AI Interaction
  Game
Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game
Jason T. Isa
Bohan Wu
Qirui Wang
Yilin Zhang
Samuel A. Burden
Lillian J. Ratliff
Benjamin J. Chasnov
16
0
0
26 Aug 2024
Rolling in the deep of cognitive and AI biases
Rolling in the deep of cognitive and AI biases
Athena Vakali
Nicoleta Tantalaki
24
1
0
30 Jul 2024
A Survey of AI Reliance
A Survey of AI Reliance
S. Eckhardt
Niklas Kuhl
Mateusz Dolata
Gerhard Schwabe
46
1
0
22 Jul 2024
Beyond Recommendations: From Backward to Forward AI Support of Pilots'
  Decision-Making Process
Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process
Z. Zhang
Sebastian S. Feger
Lucas Dullenkopf
Rulu Liao
Lukas Süsslin
Yuanting Liu
Andreas Butz
37
4
0
13 Jun 2024
Majority Voting of Doctors Improves Appropriateness of AI Reliance in
  Pathology
Majority Voting of Doctors Improves Appropriateness of AI Reliance in Pathology
H. Gu
Chunxu Yang
S. Magaki
Neda Zarrin-Khameh
N. Lakis
...
Todd M. Stevens
Sara L. Stone
Wenzhong Yan
Mohammad Haeri
Xiang Ánthony' Chen
22
0
0
06 Apr 2024
Learning To Guide Human Decision Makers With Vision-Language Models
Learning To Guide Human Decision Makers With Vision-Language Models
Debodeep Banerjee
Stefano Teso
Burcu Sayin
Andrea Passerini
32
1
0
25 Mar 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Shuai Ma
Qiaoyi Chen
Xinru Wang
Chengbo Zheng
Zhenhui Peng
Ming Yin
Xiaojuan Ma
ELM
26
20
0
25 Mar 2024
"Are You Really Sure?" Understanding the Effects of Human
  Self-Confidence Calibration in AI-Assisted Decision Making
"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making
Shuai Ma
Xinru Wang
Ying Lei
Chuhan Shi
Ming Yin
Xiaojuan Ma
27
24
0
14 Mar 2024
Determinants of LLM-assisted Decision-Making
Determinants of LLM-assisted Decision-Making
Eva Eigner
Thorsten Händler
46
44
0
27 Feb 2024
Successfully Guiding Humans with Imperfect Instructions by Highlighting
  Potential Errors and Suggesting Corrections
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
Lingjun Zhao
Khanh Nguyen
Hal Daumé
33
1
0
26 Feb 2024
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support
  Using Evidence
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence
Thao Le
Tim Miller
L. Sonenberg
Ronal Singh
26
3
0
02 Feb 2024
Causal Perception
Causal Perception
Jose M. Alvarez
Salvatore Ruggieri
CML
24
0
0
24 Jan 2024
Belief Miner: A Methodology for Discovering Causal Beliefs and Causal
  Illusions from General Populations
Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations
Shahreen Salim
Md. Naimul Hoque
Klaus Mueller
15
2
0
16 Jan 2024
Designing for Appropriate Reliance: The Roles of AI Uncertainty
  Presentation, Initial User Decision, and User Demographics in AI-Assisted
  Decision-Making
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making
Shiye Cao
Anqi Liu
Chien-Ming Huang
30
9
0
11 Jan 2024
Human-AI collaboration is not very collaborative yet: A taxonomy of
  interaction patterns in AI-assisted decision making from a systematic review
Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review
Catalina Gomez
Sue Min Cho
Shichang Ke
Chien-Ming Huang
Mathias Unberath
32
1
0
30 Oct 2023
Learning to Guide Human Experts via Personalized Large Language Models
Learning to Guide Human Experts via Personalized Large Language Models
Debodeep Banerjee
Stefano Teso
Andrea Passerini
LLMAG
16
0
0
11 Aug 2023
Value-based Fast and Slow AI Nudging
Value-based Fast and Slow AI Nudging
M. B. Ganapini
F. Fabiano
L. Horesh
Andrea Loreggia
N. Mattei
K. Murugesan
Vishal Pallagani
F. Rossi
Biplav Srivastava
Brent Venable
22
1
0
14 Jul 2023
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time
  Pressure
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
S. Swaroop
Zana Buçinca
Krzysztof Z. Gajos
Finale Doshi-Velez
26
14
0
12 Jun 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task
  Performance and Task Satisfaction
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction
Patrick Hemmer
Monika Westphal
Max Schemmer
S. Vetter
Michael Vossing
G. Satzger
39
42
0
16 Mar 2023
"If I Had All the Time in the World": Ophthalmologists' Perceptions of
  Anchoring Bias Mitigation in Clinical AI Support
"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support
A. Bach
Trine Munch Norgaard
Jens Christian Brok
N. V. Berkel
23
32
0
07 Mar 2023
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness
  Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma
Ying Lei
Xinru Wang
Chengbo Zheng
Chuhan Shi
Ming Yin
Xiaojuan Ma
14
98
0
14 Jan 2023
BIASeD: Bringing Irrationality into Automated System Design
BIASeD: Bringing Irrationality into Automated System Design
Aditya Gulati
M. Lozano
Bruno Lepri
Nuria Oliver
37
7
0
01 Oct 2022
Advancing Human-AI Complementarity: The Impact of User Expertise and
  Algorithmic Tuning on Joint Decision Making
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making
K. Inkpen
Shreya Chappidi
Keri Mallari
Besmira Nushi
Divya Ramesh
Pietro Michelucci
Vani Mandava
Libuvse Hannah Vepvrek
Gabrielle Quinn
23
45
0
16 Aug 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in
  Clinical Imaging
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Riccardo Fogliato
Shreya Chappidi
M. Lungren
Michael Fitzke
Mark Parkinson
Diane U Wilson
Paul Fisher
Eric Horvitz
K. Inkpen
Besmira Nushi
19
69
0
19 May 2022
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty
Andrew Fuchs
A. Passarella
M. Conti
11
4
0
13 May 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate
  Human-ML Complementarity
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity
Charvi Rastogi
Liu Leqi
Kenneth Holstein
Hoda Heidari
33
9
0
22 Apr 2022
Role of Human-AI Interaction in Selective Prediction
Role of Human-AI Interaction in Selective Prediction
Elizabeth Bondi
Raphael Köster
Hannah R. Sheahan
Martin Chadwick
Yoram Bachrach
taylan. cemgil
Ulrich Paquet
Krishnamurthy Dvijotham
17
35
0
13 Dec 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
15
224
0
20 Oct 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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