Yuri Nakao

Orcid: 0000-0002-6813-9952

According to our database1, Yuri Nakao authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness.
Int. J. Hum. Comput. Interact., May, 2023

Exploring the Impact of Lay User Feedback for Improving AI Fairness.
CoRR, 2023

Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors.
CoRR, 2023

Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations.
Proceedings of the HCI in Business, Government and Organizations, 2023

2022
Toward Involving End-users in Interactive Human-in-the-loop AI Fairness.
ACM Trans. Interact. Intell. Syst., 2022

Towards Involving End-users in Interactive Human-in-the-loop AI Fairness.
CoRR, 2022

Toward a decision process of the best machine learning model for multi-stakeholders: a crowdsourcing survey method.
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.
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.
CoRR, 2020

Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception.
Proceedings of the NordiCHI '20: Shaping Experiences, 2020

Investigating audio data visualization for interactive sound recognition.
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.
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.
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


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