Questioning the AI: Informing Design Practices for Explainable AI User Experiences

8 January 2020

Papers citing "Questioning the AI: Informing Design Practices for Explainable AI User Experiences"

50 / 240 papers shown

Title
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users Julian Rosenberger Philipp Schröppel Sven Kruschel Mathias Kraus Patrick Zschech Maximilian Förster FAtt 19 0 0 11 May 2025
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Jonas Bokstaller Julia Altheimer Julian Dormehl Alina Buss Jasper Wiltfang Johannes Schneider Maximilian Röglinger 22 0 0 02 May 2025
Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI Shou-Tzu Han 24 0 0 29 Apr 2025
AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression Dong Whi Yoo Jiayue Melissa Shi Violeta J. Rodriguez Koustuv Saha AI4MH 48 0 0 26 Apr 2025
Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software Anjali Khurana Xiaotian Su April Yi Wang Parmit K. Chilana 33 0 0 22 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 52 0 0 14 Apr 2025
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality Jorge de Heuvel Sebastian Müller Marlene Wessels Aftab Akhtar Christian Bauckhage Maren Bennewitz 43 0 0 01 Apr 2025
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals Lucy Havens Benjamin Bach Melissa Mhairi Terras Beatrice Alex 44 0 0 01 Apr 2025
Explainable AI-Based Interface System for Weather Forecasting Model Soyeon Kim Junho Choi Yeji Choi Subeen Lee Artyom Stitsyuk Minkyoung Park Seongyeop Jeong Youhyun Baek Jaesik Choi XAI 48 2 0 01 Apr 2025
Talking Back -- human input and explanations to interactive AI systems Alan Dix Tommaso Turchi Ben Wilson Anna Monreale Matt Roach 54 1 0 06 Mar 2025
XAIxArts Manifesto: Explainable AI for the Arts Nick Bryan-Kinns Shuoyang Zheng Francisco Castro Makayla Lewis Jia-Rey Chang Gabriel Vigliensoni Terence Broad Michael Clemens Elizabeth Wilson 37 0 0 28 Feb 2025
A Scoresheet for Explainable AI Michael Winikoff John Thangarajah Sebastian Rodriguez 51 0 0 14 Feb 2025
Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators Prerna Ravi John Masla Gisella Kakoti Grace Lin Emma Anderson Matt Taylor Anastasia K. Ostrowski Cynthia Breazeal Eric Klopfer Hal Abelson AI4Ed 66 1 0 13 Feb 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 38 5 0 29 Jan 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR Laura State Alejandra Bringas Colmenarejo Andrea Beretta Salvatore Ruggieri Franco Turini Stephanie Law AILaw ELM 41 0 0 10 Jan 2025
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection Jeroen Ooge Arno Vanneste Maxwell Szymanski K. Verbert 88 0 0 20 Dec 2024
How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice Conrad Borchers Jeroen Ooge Cindy Peng Vincent Aleven 70 1 0 13 Dec 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 32 3 0 15 Nov 2024
Human-Centric eXplainable AI in Education Subhankar Maity Aniket Deroy ELM 16 1 0 18 Oct 2024
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 21 0 0 14 Oct 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 13 10 0 26 Sep 2024
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
EvAlignUX: Advancing UX Research through LLM-Supported Exploration of Evaluation Metrics Qingxiao Zheng Minrui Chen Pranav Sharma Yiliu Tang Mehul Oswal Yiren Liu Yun Huang ELM 22 2 0 23 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach Debarpan Bhattacharya A. H. Poorjam Deepak Mittal S. Ganapathy 25 0 0 17 Sep 2024
Questioning AI: Promoting Decision-Making Autonomy Through Reflection Simon WS Fischer 19 0 0 16 Sep 2024
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions Umm-e- Habiba Markus Haug Justus Bogner Stefan Wagner 16 0 0 11 Sep 2024
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations Yuan Tian Jonathan K. Kummerfeld Toby Jia-Jun Li Tianyi Zhang AAML 19 2 0 10 Sep 2024
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis Francesco Sovrano Michaël Lognoul Giulia Vilone 21 1 0 27 Aug 2024
Measuring User Understanding in Dialogue-based XAI Systems Dimitry Mindlin A. Robrecht Michael Morasch Philipp Cimiano 23 2 0 13 Aug 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models Upol Ehsan Mark O. Riedl 18 2 0 09 Aug 2024
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment Sung Une Lee Harsha Perera Yue Liu Boming Xia Qinghua Lu Liming Zhu Olivier Salvado Jon Whittle 19 1 0 02 Aug 2024
Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents Shalini Sushri Rahul K. Dass Rhea Basappa Hong Lu Ashok K. Goel 17 1 0 25 Jul 2024
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 40 1 0 17 Jul 2024
A Scale-Invariant Diagnostic Approach Towards Understanding Dynamics of Deep Neural Networks A. Moharil Damian Tamburri I. Kumara Willem-jan Van Den Heuvel Alireza Azarfar AI4CE 22 0 0 12 Jul 2024
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations David Nader-Palacio Daniel Rodríguez-Cárdenas Alejandro Velasco Dipin Khati Kevin Moran Denys Poshyvanyk 43 6 0 12 Jul 2024
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition Majeed Kazemitabaar Jack Williams Ian Drosos Tovi Grossman Austin Z. Henley Carina Negreanu Advait Sarkar 24 17 0 02 Jul 2024
Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents Rahul Islam Sang Won Bae AI4MH 22 1 0 22 Jun 2024
Explainable AI improves task performance in human-AI collaboration J. Senoner Simon Schallmoser Bernhard Kratzwald Stefan Feuerriegel Torbjørn H. Netland 29 7 0 12 Jun 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall N. V. Stein David Walker Ting-Kuei Hu 34 0 0 12 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 31 6 0 05 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning Eura Nofshin Esther Brown Brian Lim Weiwei Pan Finale Doshi-Velez 34 0 0 31 May 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions Hyo Jin Do Rachel Ostrand Justin D. Weisz Casey Dugan P. Sattigeri Dennis L. Wei K. Murugesan Werner Geyer HILM 26 10 0 30 May 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations Christine P. Lee M. Lee Bilge Mutlu HAI 33 4 0 26 May 2024
Towards a Unified Framework for Evaluating Explanations Juan D. Pinto Luc Paquette 22 1 0 22 May 2024
Why do explanations fail? A typology and discussion on failures in XAI Clara Bove Thibault Laugel Marie-Jeanne Lesot C. Tijus Marcin Detyniecki 26 2 0 22 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 18 1 0 17 May 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI A. Wijekoon D. Corsar Nirmalie Wiratunga Kyle Martin Pedram Salimi 13 2 0 16 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations Pantea Habibi Peyman Baghershahi Sourav Medya Debaleena Chattopadhyay 19 1 0 11 May 2024
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study Jesse Josua Benjamin Joseph Lindley Elizabeth Edwards Elisa Rubegni Tim Korjakow David Grist Rhiannon Sharkey 25 11 0 07 May 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 30 3 0 04 May 2024