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On the Effect of Information Asymmetry in Human-AI Teams

On the Effect of Information Asymmetry in Human-AI Teams

3 May 2022
Patrick Hemmer
Max Schemmer
Niklas Kühl
Michael Vossing
G. Satzger
ArXivPDFHTML

Papers citing "On the Effect of Information Asymmetry in Human-AI Teams"

16 / 16 papers shown
Title
From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
Joshua Holstein
Moritz Diener
Philipp Spitzer
LLMAG
51
0
0
03 Apr 2025
AI-enhanced Collective Intelligence: The State of the Art and Prospects
AI-enhanced Collective Intelligence: The State of the Art and Prospects
Hao Cui
T. Yasseri
43
10
0
15 Mar 2024
Training Towards Critical Use: Learning to Situate AI Predictions
  Relative to Human Knowledge
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
Anna Kawakami
Luke M. Guerdan
Yanghuidi Cheng
Matthew L. Lee
Scott A. Carter
Nikos Arechiga
Kate Glazko
Haiyi Zhu
Kenneth Holstein
32
11
0
30 Aug 2023
On the Perception of Difficulty: Differences between Humans and AI
On the Perception of Difficulty: Differences between Humans and AI
Philipp Spitzer
Joshua Holstein
Michael Vossing
Niklas Kühl
25
0
0
19 Apr 2023
Trust and Transparency in Recommender Systems
Trust and Transparency in Recommender Systems
Clara Siepmann
Mohamed Amine Chatti
19
3
0
17 Apr 2023
Learning to Defer with Limited Expert Predictions
Learning to Defer with Limited Expert Predictions
Patrick Hemmer
Lukas Thede
Michael Vossing
Johannes Jakubik
Niklas Kühl
36
13
0
14 Apr 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
52
42
0
16 Mar 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in
  Human-Algorithm Decision-Making
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Luke M. Guerdan
Amanda Coston
Zhiwei Steven Wu
Kenneth Holstein
CML
30
26
0
13 Feb 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of
  Explanations
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
Max Schemmer
Niklas Kühl
Carina Benz
Andrea Bartos
G. Satzger
21
97
0
04 Feb 2023
Explanations, Fairness, and Appropriate Reliance in Human-AI
  Decision-Making
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
45
46
0
23 Sep 2022
Toward Supporting Perceptual Complementarity in Human-AI Collaboration
  via Reflection on Unobservables
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables
Kenneth Holstein
Maria De-Arteaga
Lakshmi Tumati
Yanghuidi Cheng
28
23
0
28 Jul 2022
Visual correspondence-based explanations improve AI robustness and
  human-AI team accuracy
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
30
42
0
26 Jul 2022
Training Novices: The Role of Human-AI Collaboration and Knowledge
  Transfer
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Philipp Spitzer
Niklas Kühl
Marc Goutier
28
7
0
01 Jul 2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in
  Human-AI Decision-Making
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Max Schemmer
Patrick Hemmer
Maximilian Nitsche
Niklas Kühl
Michael Vossing
24
56
0
10 May 2022
On the Relationship Between Explanations, Fairness Perceptions, and
  Decisions
On the Relationship Between Explanations, Fairness Perceptions, and Decisions
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
30
6
0
27 Apr 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
40
9
0
22 Apr 2022
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