With the increasing demand for socially assistive robots in various domains, it becomes important to make robots that are able to start communication and attract people’s attention whenever necessary. Although verbal and non-verbal ways of communication have been studied before, adjusting them to changing situations of the environment is still a challenge. In fact, as the environment in which the interaction takes place mutates, and individual differences exist in human perception, some channels of communication may be less effective than others. This paper describes a study in which a Nao robot tries to use different behaviours to start an interaction with a human counterpart, in four changing environmental conditions (loudness, ambient luminance, distance and angle). The robot determines the state of those conditions and through an online learning process is capable of choosing the most effective behaviour for each individual taking into account individual preferences. The findings of this paper will be useful to make a robot initiate a communication successfully.
|ジャーナル||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|出版ステータス||Published - 2015|
|イベント||7th International Conference on Social Robotics, ICSR 2015 - Paris, France|
継続期間: 2015 10 26 → 2015 10 30
ASJC Scopus subject areas
- コンピュータ サイエンス（全般）