activity
20242026
most citedImpact of Tone-Aware Explanations in Recommender Systems

12 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

GroupEnvoy: A Conversational Agent Speaking for the Outgroup to Foster Intergroup Relations

Koken Hata, Hengxuan Qin, Rintaro Chujo +3

Conversational agents have the potential to support intergroup relations when psychological or linguistic barriers prevent direct interaction. Based on intergroup contact theory, w…

cs.HC2026

More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advice

Yuta Tsuchiya, Yukino Baba

Just as people improve decision-making by consulting diverse human advisors, they can now also consult with multiple AI systems. Prior work on group decision-making shows that advi…

cs.HC2025

Do Expressions Change Decisions? Exploring the Impact of AI's Explanation Tone on Decision-Making

Ayano Okoso, Mingzhe Yang, Yukino Baba

Explanatory information helps users to evaluate the suggestions offered by AI-driven decision support systems. With large language models, adjusting explanation expressions has bec…

cs.HC2024★ 12 cited

Impact of Tone-Aware Explanations in Recommender Systems

Ayano Okoso, Keisuke Otaki, Satoshi Koide +1

In recommender systems, the presentation of explanations plays a crucial role in supporting users' decision-making processes. Although numerous existing studies have focused on the…

cs.HC2024★ 2 cited

SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration

Yuto Nakashima, Mingzhe Yang, Yukino Baba

Generating preferred images using generative adversarial networks (GANs) is challenging owing to the high-dimensional nature of latent space. In this study, we propose a novel appr…

cs.HC2024★ 11 cited

Fair Machine Guidance to Enhance Fair Decision Making in Biased People

Mingzhe Yang, Hiromi Arai, Naomi Yamashita +1

Teaching unbiased decision-making is crucial for addressing biased decision-making in daily life. Although both raising awareness of personal biases and providing guidance on unbia…