Name
Title | ||
|---|---|---|
Influencing the Learning Experience Through Affective Agent Feedback in a Real-World Treasure Hunt: (Extended Abstract) |
Abstract | ||
|---|---|---|
We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11-12. We compare three conditions: a traditional paper-based treasure hunt, along with a virtual robot on a tablet which provides either neutral or affective feedback during the treasure hunt. The results of the study suggest that the use of the virtual robot increased the perceived difficulty of the instruction-following task, while the affective robot feedback in particular made the questions seem more difficult to answer. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.5555/2772879.2773398 | Autonomous Agents and Multi-Agent Systems |
Field | DocType | Citations |
Treasure,Computer science,Human–computer interaction,Learning experience,Artificial intelligence,Affect (psychology),Robot,Virtual robot,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mary Ellen Foster | 1 | 364 | 36.47 |
| Amol Deshmukh | 2 | 58 | 11.09 |
| Srinivasan Janarthanam | 3 | 130 | 13.53 |
| Mei Yii Lim | 4 | 158 | 19.69 |
| Helen Hastie | 5 | 85 | 9.00 |
| Ruth Aylett | 6 | 1377 | 170.50 |