Name
Abstract | ||
|---|---|---|
In order for humans and robots to interact in an effective and instinctive manner, robots must obtain information about the human emotional state in response to the robot's actions. This is important as the presence of robot in human living environment has become tremendously increasing. Consequently, we believed that it is necessary to investigate how human feel about this situation and if robot can understand those human emotions, collaboration with human can be much better. In order to investigate the human emotions, we applied a kansei survey method based on a kansei engineering technology. We request a number of participants to take part in our experiment where they will be in the same environment of where a robot is working on some tasks. The participants will answer those questions in the survey based on what they feel about working together with moving robot. The overall goal is, in fact, to predict in the least possible time which area in the vicinity of the robot the human is heading to. This paper describes the results of our findings about how human feel when collaborating with robot(s). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.4304/jcp.9.3.668-677 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
Emotion, Kansei Robotics, Human-Robot Interaction | Robot learning,Social robot,Computer science,Kansei engineering,Personal robot,Kansei,Artificial intelligence,Robot,Instinct,Human–robot interaction | Journal |
Volume | Issue | ISSN |
9 | 3 | 1796-203X |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fairul Azni Jafar | 1 | 3 | 1.47 |
| Nurhidayu Abdullah | 2 | 0 | 0.34 |
| Mohd Nazrin Muhammad | 3 | 2 | 1.04 |
| Nurul Azma Zakaria | 4 | 0 | 1.01 |
| Mohd Najib Ali Mokhtar | 5 | 0 | 0.34 |