A5084856901- Sentiment Analysis and Opinion Mining
- Complex Network Analysis Techniques
- Power Systems and Technologies
- Electrospun Nanofibers in Biomedical Applications
- Virtual Reality Applications and Impacts
- Robot Manipulation and Learning
- Advanced Computational Techniques and Applications
- Advanced Sensor and Control Systems
- Advanced Sensor and Energy Harvesting Materials
- Artificial Intelligence in Games
- Advanced Memory and Neural Computing
- Reinforcement Learning in Robotics
- AI in Service Interactions
- Advanced Materials and Mechanics
- Social Robot Interaction and HRI
- Topic Modeling
- Emotion and Mood Recognition
- Neural Networks and Applications
The University of Tokyo
2019-2021
University of Hong Kong
2020
Purdue University West Lafayette
2016
HBIS (China)
2002
Embodied manipulation is a fundamental ability in the realm of embodied artificial intelligence. Although current models show certain generalizations specific settings, they struggle new environments and tasks due to complexity diversity real-world scenarios. The traditional end-to-end data collection training manner leads significant demands, which we call ``data explosion''. To address issue, introduce three-wheeled data-driven method build an atomic skill library. We divide into subtasks...
Conversational virtual assistants have exploded in popularity recent years. Developers been working to create personality assistants, so that users treat them more than mere automation tools. Among other factors, motivation is considered playing an important role. However, previous researches focused mainly on extrinsic motivation, and ignored the fact intrinsically motivated engagement cultivates better relationship of reliance. Intrinsic derived from inner urge seek enjoyment action...
With the growing utility of today's conversational virtual assistants, importance user motivation in human-AI interaction is becoming more obvious. However, previous studies this and related fields, such as human-computer human-robot interaction, scarcely discussed intrinsic its affecting factors. Those either treated an inseparable concept or focused on non-intrinsic motivation. The current study aims to cover by taking affective-engineering approach. A novel model proposed, which affected...
Despite the clear inter-dependency between analyzing interactions in social networks, and natural language content of these interactions, aspects are typically studied independently.In this paper we present a first step towards finding joint representation, by embedding two into single vector space.We show that new representation can help improve performance relations prediction tasks.