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How Accurate Does It Feel? -- Human Perception of Different Types of
  Classification Mistakes

How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes

International Conference on Human Factors in Computing Systems (CHI), 2022
13 February 2023
A. Papenmeier
Dagmar Kern
Daniel Hienert
Yvonne Kammerer
C. Seifert
ArXiv (abs)PDFHTMLGithub

Papers citing "How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes"

5 / 5 papers shown
A Comparison of Human and Machine Learning Errors in Face Recognition
A Comparison of Human and Machine Learning Errors in Face Recognition
Marina Estévez-Almenzar
Ricardo Baeza-Yates
Carlos Castillo
305
2
0
17 Feb 2025
Sense of Agency in Closed-loop Muscle Stimulation
Sense of Agency in Closed-loop Muscle StimulationIEEE Access (IEEE Access), 2024
Lukas Gehrke
Leonie Terfurth
Klaus Gramann
223
2
0
25 Sep 2024
One vs. Many: Comprehending Accurate Information from Multiple Erroneous
  and Inconsistent AI Generations
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI GenerationsConference on Fairness, Accountability and Transparency (FAccT), 2024
Yoonjoo Lee
Kihoon Son
Tae Soo Kim
Jisu Kim
John Joon Young Chung
Eytan Adar
Juho Kim
298
38
0
09 May 2024
Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted
  Qualitative Coding
Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding
Jie Ying Gao
Junming Cao
S. Yeo
K. T. W. Choo
Zheng Zhang
Toby Jia-Jun Li
Shengdong Zhao
S. Perrault
303
3
0
25 Sep 2023
Know What Not To Know: Users' Perception of Abstaining Classifiers
Know What Not To Know: Users' Perception of Abstaining Classifiers
A. Papenmeier
Daniel Hienert
Yvonne Kammerer
C. Seifert
Dagmar Kern
HAI
304
2
0
11 Sep 2023
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