Name
Title | ||
|---|---|---|
Can User-Centered Reinforcement Learning Allow A Robot To Attract Passersby Without Causing Discomfort? |
Abstract | ||
|---|---|---|
The aim of our study is to develop a method by which a social robot can greet passersby and get their attention without causing them to suffer discomfort. Social robots now function in a number of customer service roles, such as receptionists, guides, and exhibitors. However, sudden greetings from a robot can startle passersby. Therefore, we developed a method that allows social robots to adapt their mannerisms situationally based the results of related work. Our proposed method, user-centered reinforcement learning, enables robots to greet passersby without causing them discomfort (p < 0.01). Our field experiment in an office entrance demonstrated that our method meets this requirement. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IROS40897.2019.8967936 | 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Field | DocType | ISSN |
Social robot,Customer service,Computer science,Control engineering,Human–computer interaction,Robot,Receptionists,Reinforcement learning | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasunori Ozaki | 1 | 0 | 0.68 |
| Tatsuya Ishihara | 2 | 65 | 9.88 |
| Narimune Matsumura | 3 | 0 | 1.01 |
| Tadashi Nunobiki | 4 | 0 | 1.01 |