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Found 8 papers, 1 papers with code
Dynamic Explanation Emphasis in Human-XAI Interaction with Communication Robot
However, it is not clear how a robot can apply such expressions, or in particular, how we can develop a strategy to adaptively use such expressions depending on the task and user in dynamic interactions.
Dynamic Explanation Selection Towards Successful User-Decision Support with Explainable AI
This paper addresses the problem of how to select explanations for XAI (Explainable AI)-based Intelligent Decision Support Systems (IDSSs).
Selectively Providing Reliance Calibration Cues With Reliance Prediction
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 over/under-reliance.
Chat, Shift and Perform: Bridging the Gap between Task-oriented and Non-task-oriented Dialog Systems
We propose CASPER (ChAt, Shift and PERform), a novel dialog system consisting of three types of dialog models: chatter, shifter, and performer.
Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
In addition, we build a goal-oriented visual dialogue task called CLEVR Ask.
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences
In many methods, however, only one meaning is considered for one label of a word, and multiple meanings of polysemous words depending on the context are rarely handled.
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents
In cooperation, the workers must know how co-workers behave.
Bayesian Inference of Self-intention Attributed by Observer
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.
