| Title |
Measuring instant emotions based on facial expressions during computer-based assessment
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, October 2011
|
| DOI | 10.1007/s00779-011-0477-y |
| Authors |
Vasileios Terzis, Christos N. Moridis, Anastasios A. Economides |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | 3% |
| Colombia | 1 | <1% |
| Cyprus | 1 | <1% |
| Malaysia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Austria | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 118 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 25% |
| Student > Master | 26 | 20% |
| Student > Postgraduate | 11 | 8% |
| Student > Doctoral Student | 11 | 8% |
| Researcher | 10 | 8% |
| Other | 20 | 15% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 34% |
| Psychology | 21 | 16% |
| Social Sciences | 10 | 8% |
| Engineering | 7 | 5% |
| Business, Management and Accounting | 7 | 5% |
| Other | 20 | 15% |
| Unknown | 21 | 16% |