What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Robot
Norihiro Hagita mostly deals with Robot, Human–computer interaction, Artificial intelligence, Social robot and Human–robot interaction.
His Robot research incorporates elements of Multimedia, Conversation and Gaze.
The Human–computer interaction study combines topics in areas such as Social relation, Wireless sensor network, Teleoperation, Robot kinematics and Shopping mall.
His work in Artificial intelligence addresses subjects such as Computer vision, which are connected to disciplines such as Component.
His Social robot study deals with Simulation intersecting with AISoy1.
His Human–robot interaction study incorporates themes from Space, Cognitive psychology, Response time and Reinforcement learning.
His most cited work include:
- Footing in human-robot conversations: how robots might shape participant roles using gaze cues (267 citations)
- Automated entry system for printed documents (231 citations)
- How to approach humans?: strategies for social robots to initiate interaction (221 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Robot, Artificial intelligence, Human–computer interaction, Human–robot interaction and Computer vision.
His research is interdisciplinary, bridging the disciplines of Simulation and Robot.
As part of the same scientific family, Norihiro Hagita usually focuses on Artificial intelligence, concentrating on Pattern recognition and intersecting with Speech recognition.
His biological study deals with issues like Ubiquitous robot, which deal with fields such as Ubiquitous computing.
His studies deal with areas such as Cognitive psychology, Social psychology, Feeling and Set as well as Human–robot interaction.
His Social robot study combines topics from a wide range of disciplines, such as Mobile robot navigation and Personal robot.
He most often published in these fields:
- Robot (53.78%)
- Artificial intelligence (47.03%)
- Human–computer interaction (33.51%)
What were the highlights of his more recent work (between 2014-2021)?
- Robot (53.78%)
- Artificial intelligence (47.03%)
- Human–robot interaction (25.14%)
In recent papers he was focusing on the following fields of study:
His main research concerns Robot, Artificial intelligence, Human–robot interaction, Human–computer interaction and Simulation.
Social robot and Mobile robot are the primary areas of interest in his Robot study.
Norihiro Hagita has researched Artificial intelligence in several fields, including Set, Computer vision and Shopping mall.
Norihiro Hagita combines subjects such as Cognitive psychology, Communication, Natural, Feeling and Haptic interaction with his study of Human–robot interaction.
His Human–computer interaction research includes elements of Humanoid robot, Novelty, Focus and Conversation.
His Simulation research includes themes of Social acceptance, Motion, Wheelchair and Augmented reality.
Between 2014 and 2021, his most popular works were:
- Can a Social Robot Stimulate Science Curiosity in Classrooms (53 citations)
- Communicating robotic navigational intentions (43 citations)
- Does A Robot’s Touch Encourage Human Effort? (41 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- The Internet
Norihiro Hagita focuses on Robot, Human–robot interaction, Artificial intelligence, Simulation and Social robot.
His Robot research is multidisciplinary, incorporating elements of Social psychology and Human–computer interaction.
His work deals with themes such as Humanoid robot, Novelty and Conversation, which intersect with Human–computer interaction.
His Human–robot interaction research integrates issues from Human communication, Communication and Set.
His Artificial intelligence research incorporates elements of Distortion, Computer vision and Shopping mall.
Norihiro Hagita works mostly in the field of Social robot, limiting it down to topics relating to Mechatronics and, in certain cases, Multimedia, Curiosity and Mathematics education.
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