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IUI Workshops

Source type: journal
Publisher:
Fully OA: No
DOAJ: No
OpenAlex ID: S4306514653
Can we do better explanations? A proposal of user-centered explainable AI
2019 · Mireia Ribera, Àgata Lapedriza · IUI Workshops · 135
Exploring the Need for Explainable Artificial Intelligence (XAI) in Intelligent Tutoring Systems (ITS).
2019 · Vanessa Putnam, Cristina Conati · IUI Workshops · 49
Dark Patterns of Explainability, Transparency, and User Control for Intelligent Systems.
2019 · Michael Chromik, Malin Eiband, et al. · IUI Workshops · 40
Why these Explanations? Selecting Intelligibility Types for Explanation Goals.
2019 · Brian Y. Lim, Qian Yang, et al. · IUI Workshops · 32
Working with Beliefs: AI Transparency in the Enterprise.
2018 · Ajay Chander, Ramya Srinivasan, et al. · IUI Workshops · 27
Explainable Movie Recommendation Systems by using Story-based Similarity.
2018 · O‐Joun Lee, Jason J. Jung · IUI Workshops · 22
A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics.
2019 · Yiwei Yang, Eser Kandogan, et al. · IUI Workshops · 20
Interestingness Elements for Explainable Reinforcement Learning through Introspection.
2019 · Pedro Sequeira, Eric Yeh, et al. · IUI Workshops · 17
Exploring Principled Visualizations for Deep Network Attributions.
2019 · Mukund Sundararajan, XU Jin-hua, et al. · IUI Workshops · 17
Towards a Hybrid Recommendation System for a Sound Library.
2019 · Jason Smith, Dillon Weeks, et al. · IUI Workshops · 17
Learning Latent Representations of Music to Generate Interactive Musical Palettes
2018 · Adam P. Roberts, Jesse Engel, et al. · IUI Workshops · 14
Explaining Recommendations by Means of User Reviews.
2018 · Tim Donkers, Benedikt Loepp, et al. · IUI Workshops · 13
Identifying Dominators and Followers in Group Decision Making based on The Personality Traits.
2018 · Yong Zheng · IUI Workshops · 13
Transparency in Advice-Giving Systems: A Framework and a Research Model for Transparency Provision.
2019 · Ruijing Zhao, Izak Benbasat, et al. · IUI Workshops · 11
How to Manage Output Uncertainty: Targeting the Actual End User Problem in Interactions with AI.
2021 · Zelun Tony Zhang, Heinrich Hußmann · IUI Workshops · 10
Building Real-World Chatbot Interviewers: Lessons from a Wizard-of-Oz Field Study.
2019 · Michelle X. Zhou, Carolyn Wang, et al. · IUI Workshops · 10
Explainable Activity Recognition in Videos.
2019 · Chiradeep Roy, Mahesh Shanbhag, et al. · IUI Workshops · 10
SciNoon: Exploratory Search System for Scientific Groups.
2019 · Yaroslav Nedumov, Anton Babichev, et al. · IUI Workshops · 9
Towards an Explainable Threat Detection Tool.
2019 · Alison Smith, Rob Rua, et al. · IUI Workshops · 9
PRIMER: An Emotionally Aware Virtual Agent.
2019 · Carla Gordon, Anton Leuski, et al. · IUI Workshops · 9
Normative vs. Pragmatic: Two Perspectives on the Design of Explanations in Intelligent Systems.
2018 · Malin Eiband, Hanna Schneider, et al. · IUI Workshops · 9
Trust-related Effects of Expertise and Similarity Cues in Human-Generated Recommendations.
2018 · Johannes Kunkel, Tim Donkers, et al. · IUI Workshops · 9
Overviewing a Field of Self-Organising Music Interfaces: Autonomous, Distributed, Environmentally Aware, Feedback Systems.
2018 · Phivos-Angelos Kollias · IUI Workshops · 8
What Should Be in an XAI Explanation? What IFT Reveals.
2018 · Jonathan Dodge, Sean Penney, et al. · IUI Workshops · 8
Studying the Impact of AI-based Inspiration on Human Ideation in a Co-Creative Design System.
2021 · Jingoog Kim, Mary Lou Maher, et al. · IUI Workshops · 7
Works count: 120
Citation count: 713
H-index: 13
I10-index: 17
2yr mean citedness:
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