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2020 – today
- 2024
[j3]Wataru Kawabe
, Yuri Nakao, Akihisa Shitara, Yusuke Sugano:
Technical Understanding from Interactive Machine Learning Experience: a Study Through a Public Event for Science Museum Visitors. Interact. Comput. 36(3): 155-171 (2024)- [c8]Simone Stumpf, Evdoxia Taka, Yuri Nakao, Lin Luo, Ryosuke Sonoda, Takuya Yokota:
The Need for User-centred Assessment of AI Fairness and Correctness. UMAP (Adjunct Publication) 2024 - [i8]Yuri Nakao:
What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation. CoRR abs/2407.02381 (2024) - [i7]Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf:
EARN Fairness: Explaining, Asking, Reviewing and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders. CoRR abs/2407.11442 (2024) - 2023
- [j2]Yuri Nakao, Lorenzo Strappelli, Simone Stumpf, Aisha Naseer, Daniele Regoli, Giulia Del Gamba:
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness. Int. J. Hum. Comput. Interact. 39(9): 1762-1788 (2023) - [c7]Yuri Nakao, Takuya Yokota:
Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations. HCI (28) 2023: 34-46 - [i6]Wataru Kawabe, Yuri Nakao, Akihisa Shitara, Yusuke Sugano:
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors. CoRR abs/2305.05846 (2023) - [i5]Yuri Nakao, Takuya Yokota:
Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations. CoRR abs/2308.01163 (2023) - [i4]Evdoxia Taka, Yuri Nakao, Ryosuke Sonoda, Takuya Yokota, Lin Luo, Simone Stumpf:
Exploring the Impact of Lay User Feedback for Improving AI Fairness. CoRR abs/2312.08064 (2023) - 2022
- [j1]Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, Lorenzo Strappelli:
Toward Involving End-users in Interactive Human-in-the-loop AI Fairness. ACM Trans. Interact. Intell. Syst. 12(3): 18:1-18:30 (2022) - [c6]Takuya Yokota, Yuri Nakao:
Toward a decision process of the best machine learning model for multi-stakeholders: a crowdsourcing survey method. UMAP (Adjunct Publication) 2022: 245-254 - [i3]Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, Lorenzo Strappelli:
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness. CoRR abs/2204.10464 (2022) - [i2]Yuri Nakao, Lorenzo Strappelli, Simone Stumpf, Aisha Naseer, Daniele Regoli, Giulia Del Gamba:
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness. CoRR abs/2206.00474 (2022) - 2021
- [c5]Simone Stumpf, Lorenzo Strappelli, Subeida Ahmed, Yuri Nakao, Aisha Naseer, Giulia Del Gamba, Daniele Regoli:
Design Methods for Artificial Intelligence Fairness and Transparency. IUI Workshops 2021 - 2020
- [c4]Tatsuya Ishibashi, Yuri Nakao, Yusuke Sugano:
Investigating audio data visualization for interactive sound recognition. IUI 2020: 67-77 - [c3]Yuri Nakao, Yusuke Sugano:
Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception. NordiCHI 2020: 82:1-82:12 - [i1]Kenji Kobayashi, Yuri Nakao:
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification. CoRR abs/2010.13494 (2020)
2010 – 2019
- 2019
- [c2]Yuri Nakao, Junichi Shigezumi, Hikaru Yokono, Takuya Takagi:
Requirements for Explainable Smart Systems in the Enterprises from Users and Society Based on FAT. IUI Workshops 2019 - [c1]Yuri Nakao, Takuya Ohwa, Kotaro Ohori:
Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems. IntRS@RecSys 2019: 36-45
Coauthor Index
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