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Soliciting Human-in-the-Loop User Feedback for Interactive Machine
  Learning Reduces User Trust and Impressions of Model Accuracy

Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy

AAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2020
28 August 2020
Donald R. Honeycutt
Mahsan Nourani
Eric D. Ragan
    HAI
ArXiv (abs)PDFHTML

Papers citing "Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy"

22 / 22 papers shown
Human Cognitive Biases in Explanation-Based Interaction: The Case of Within and Between Session Order Effect
Human Cognitive Biases in Explanation-Based Interaction: The Case of Within and Between Session Order Effect
Dario Pesenti
Alessandro Bogani
Katya Tentori
Stefano Teso
56
0
0
04 Dec 2025
UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI
UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI
Darvin Yi
Teng Liu
Mattie Terzolo
Lance Hasson
Ayan Sinh
Pablo Mendes
Andrew Rabinovich
136
0
0
15 Nov 2025
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
Anujith Muraleedharan
Anamika J H
73
1
0
24 Sep 2025
An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs
An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs
Mathieu Bourdin
Anas Neumann
Thomas Paviot
Robert Pellerin
Samir Lamouri
136
2
0
28 Aug 2025
Towards User-Centred Design of AI-Assisted Decision-Making in Law Enforcement
Towards User-Centred Design of AI-Assisted Decision-Making in Law Enforcement
Vesna Nowack
Dalal Alrajeh
Carolina Gutierrez Muñoz
Katie Thomas
William Hobson
Catherine Hamilton-Giachritsis
Patrick Benjamin
Tim Grant
Juliane A. Kloess
Jessica Woodhams
349
0
0
24 Apr 2025
From Explainable to Interactive AI: A Literature Review on Current
  Trends in Human-AI Interaction
From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction
Muhammad Raees
Inge Meijerink
Ioanna Lykourentzou
Vassilis-Javed Khan
Konstantinos Papangelis
213
101
0
23 May 2024
Representation Debiasing of Generated Data Involving Domain Experts
Representation Debiasing of Generated Data Involving Domain ExpertsUser Modeling, Adaptation, and Personalization (UMAP), 2024
Aditya Bhattacharya
Simone Stumpf
K. Verbert
192
5
0
17 May 2024
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and
  Data Configurations
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations
Aditya Bhattacharya
Simone Stumpf
Lucija Gosak
Gregor Stiglic
K. Verbert
237
31
0
01 Feb 2024
Trust, distrust, and appropriate reliance in (X)AI: a survey of
  empirical evaluation of user trust
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust
Roel W. Visser
Tobias M. Peters
Ingrid Scharlau
Barbara Hammer
186
10
0
04 Dec 2023
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing
  Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
Aditya Bhattacharya
Simone Stumpf
Lucija Gosak
Gregor Stiglic
K. Verbert
260
6
0
03 Oct 2023
Improving the Accuracy of Beauty Product Recommendations by Assessing
  Face Illumination Quality
Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality
Parnian Afshar
Jenny Yeon
Andriy Levitskyy
Rahul Suresh
Amin Banitalebi-Dehkordi
CVBM
227
1
0
07 Sep 2023
Trustworthy Human Computation: A Survey
Trustworthy Human Computation: A SurveyArtificial Intelligence Review (Artif Intell Rev), 2022
H. Kashima
S. Oyama
Hiromi Arai
Junichiro Mori
254
1
0
22 Oct 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An OverviewFrontiers in Artificial Intelligence (FAI), 2022
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAIFAttLRM
533
78
0
29 Jul 2022
Interactive Machine Learning: A State of the Art Review
Interactive Machine Learning: A State of the Art Review
Natnael A. Wondimu
Cédric Buche
U. Visser
VLMHAI
293
13
0
13 Jul 2022
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model UpdatesPatterns (Patterns), 2022
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
235
15
0
13 May 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Enriching Artificial Intelligence Explanations with Knowledge FragmentsFuture Internet (FI), 2022
Jože M. Rožanec
Elena Trajkova
I. Novalija
Patrik Zajec
K. Kenda
B. Fortuna
Dunja Mladenić
172
10
0
12 Apr 2022
A Survey of Human-in-the-loop for Machine Learning
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu
Luwei Xiao
Yixuan Sun
Junhang Zhang
Tianlong Ma
Liangbo He
SyDa
582
663
0
02 Aug 2021
Multi-Perspective Content Delivery Networks Security Framework Using
  Optimized Unsupervised Anomaly Detection
Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly DetectionIEEE Transactions on Network and Service Management (TNSM), 2021
Li Yang
Abdallah Moubayed
Abdallah Shami
P. Heidari
Amine Boukhtouta
Adel Larabi
Richard Brunner
Stere Preda
D. Migault
202
36
0
24 Jul 2021
Explanation-Based Human Debugging of NLP Models: A Survey
Explanation-Based Human Debugging of NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2021
Piyawat Lertvittayakumjorn
Francesca Toni
LRM
443
89
0
30 Apr 2021
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the
  Loop
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the LoopInternational Conference on Human Factors in Computing Systems (CHI), 2021
Anamaria Crisan
Brittany Fiore-Gartland
198
62
0
12 Jan 2021
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time
  for Interactive Data Systems
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems
Jeremy E. Block
Eric D. Ragan
175
8
0
02 Sep 2020
The Role of Domain Expertise in User Trust and the Impact of First
  Impressions with Intelligent Systems
The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems
Mahsan Nourani
J. King
Eric D. Ragan
222
120
0
20 Aug 2020
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