30 citations · 65 across the 8 of their papers we have counts for
8 papers
Selectively Providing Reliance Calibration Cues With Reliance Prediction
Yosuke Fukuchi, Seiji Yamada
For effective collaboration between humans and intelligent agents that employ machine learning for decision-making, humans must understand what agents can and cannot do to avoid ov…
Modeling Reliance on XAI Indicating Its Purpose and Attention
Akihiro Maehigashi, Yosuke Fukuchi, Seiji Yamada
This study used XAI, which shows its purposes and attention as explanations of its process, and investigated how these explanations affect human trust in and use of AI. In this stu…
Chat, Shift and Perform: Bridging the Gap between Task-oriented and Non-task-oriented Dialog Systems
Teppei Yoshino, Yosuke Fukuchi, Shoya Matsumori +1
We propose CASPER (ChAt, Shift and PERform), a novel dialog system consisting of three types of dialog models: chatter, shifter, and performer. Shifter, which is designed for topic…
Mask and Cloze: Automatic Open Cloze Question Generation using a Masked Language Model
Shoya Matsumori, Kohei Okuoka, Ryoichi Shibata +3
Open cloze questions have been attracting attention for both measuring the ability and facilitating the learning of L2 English learners. In spite of its benefits, the open cloze te…
Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
Shoya Matsumori, Kosuke Shingyouchi, Yuki Abe +3
Building an interactive artificial intelligence that can ask questions about the real world is one of the biggest challenges for vision and language problems. In particular, goal-o…
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences
Yusuke Takimoto, Yosuke Fukuchi, Shoya Matsumori +1
Distributed representation of words has improved the performance for many natural language tasks. In many methods, however, only one meaning is considered for one label of a word,…
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents
Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa +1
In cooperation, the workers must know how co-workers behave. However, an agent's policy, which is embedded in a statistical machine learning model, is hard to understand, and requi…
Bayesian Inference of Self-intention Attributed by Observer
Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa +2
Most of agents that learn policy for tasks with reinforcement learning (RL) lack the ability to communicate with people, which makes human-agent collaboration challenging. We belie…