Yuri Nakao

According to our database, Yuri Nakao authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Technical Understanding from Interactive Machine Learning Experience: a Study Through a Public Event for Science Museum Visitors.

Wataru Kawabe, Yuri Nakao, Akihisa Shitara, Yusuke Sugano

Interact. Comput., 2024

EARN Fairness: Explaining, Asking, Reviewing and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders.

Lin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi, Simone Stumpf

CoRR, 2024

What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation.

Yuri Nakao

CoRR, 2024

The Need for User-centred Assessment of AI Fairness and Correctness.

Simone Stumpf, Evdoxia Taka, Yuri Nakao, Lin Luo, Ryosuke Sonoda, Takuya Yokota

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2023

Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness.

Yuri Nakao, Lorenzo Strappelli, Simone Stumpf, Aisha Naseer, Daniele Regoli, Giulia Del Gamba

Int. J. Hum. Comput. Interact., May, 2023

Exploring the Impact of Lay User Feedback for Improving AI Fairness.

Evdoxia Taka, Yuri Nakao, Ryosuke Sonoda, Takuya Yokota, Lin Luo, Simone Stumpf

CoRR, 2023

Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors.

Wataru Kawabe, Yuri Nakao, Akihisa Shitara, Yusuke Sugano

CoRR, 2023

Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations.

Yuri Nakao, Takuya Yokota

Proceedings of the HCI in Business, Government and Organizations, 2023

2022

Toward Involving End-users in Interactive Human-in-the-loop AI Fairness.

Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, Lorenzo Strappelli

ACM Trans. Interact. Intell. Syst., 2022

Towards Involving End-users in Interactive Human-in-the-loop AI Fairness.

Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, Lorenzo Strappelli

CoRR, 2022

Toward a decision process of the best machine learning model for multi-stakeholders: a crowdsourcing survey method.

Takuya Yokota, Yuri Nakao

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

2021

Design Methods for Artificial Intelligence Fairness and Transparency.

Simone Stumpf, Lorenzo Strappelli, Subeida Ahmed, Yuri Nakao, Aisha Naseer, Giulia Del Gamba, Daniele Regoli

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

2020

One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification.

Kenji Kobayashi, Yuri Nakao

CoRR, 2020

Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception.

Yuri Nakao, Yusuke Sugano

Proceedings of the NordiCHI '20: Shaping Experiences, 2020

Investigating audio data visualization for interactive sound recognition.

Tatsuya Ishibashi, Yuri Nakao, Yusuke Sugano

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

2019

Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems.

Yuri Nakao, Takuya Ohwa, Kotaro Ohori

Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

Requirements for Explainable Smart Systems in the Enterprises from Users and Society Based on FAT.

Yuri Nakao, Junichi Shigezumi, Hikaru Yokono, Takuya Takagi

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019