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Dissecting users' needs for search result explanations

Dissecting users' needs for search result explanations

29 January 2024
Prerna Juneja
Wenjuan Zhang
Alison Smith-Renner
Hemank Lamba
Joel R. Tetreault
Alex Jaimes
    FAtt
ArXivPDFHTML

Papers citing "Dissecting users' needs for search result explanations"

5 / 5 papers shown
Title
What Did I Say Again? Relating User Needs to Search Outcomes in
  Conversational Commerce
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce
Kevin Schott
A. Papenmeier
Daniel Hienert
Dagmar Kern
21
0
0
02 Oct 2024
Towards User-Focused Research in Training Data Attribution for
  Human-Centered Explainable AI
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
Elisa Nguyen
Johannes Bertram
Evgenii Kortukov
Jean Y. Song
Seong Joon Oh
TDI
362
2
0
25 Sep 2024
AI as Extraherics: Fostering Higher-order Thinking Skills in Human-AI
  Interaction
AI as Extraherics: Fostering Higher-order Thinking Skills in Human-AI Interaction
Koji Yatani
Zefan Sramek
Chi-Lan Yang
37
3
0
13 Sep 2024
In Pursuit of Interpretable, Fair and Accurate Machine Learning for
  Criminal Recidivism Prediction
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
Caroline Linjun Wang
Bin Han
Bhrij Patel
Cynthia Rudin
FaML
HAI
57
83
0
08 May 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
1