3 papers
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
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…
math.OC2019
NERO: Nested Rebalancing Optimization for Mobility on Demand
Tomoki Nishi, Satoshi Koide, Keisuke Otaki +1
Mobility-on-Demand (MoD) services, such as taxi-like services, are promising applications. Rebalancing the vehicle locations against customer requests is a key challenge in the ser…