| Title |
Automatically Classifying User Engagement for Dynamic Multi-party Human–Robot Interaction
|
|---|---|
| Published in |
International Journal of Social Robotics, July 2017
|
| DOI | 10.1007/s12369-017-0414-y |
| Authors |
Mary Ellen Foster, Andre Gaschler, Manuel Giuliani |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Student > Master | 12 | 14% |
| Researcher | 11 | 13% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 3 | 3% |
| Other | 10 | 12% |
| Unknown | 24 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 28% |
| Engineering | 10 | 12% |
| Business, Management and Accounting | 6 | 7% |
| Social Sciences | 6 | 7% |
| Psychology | 5 | 6% |
| Other | 9 | 10% |
| Unknown | 26 | 30% |