We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity earned 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 snore difficult to answer.
|Title of host publication||Aamas 15 International Conference on Autonomous Agents and Multi Agent Solutions|
|Publisher||Association for Computing Machinery|
|Number of pages||2|
|Publication status||Published - 7 Jul 2015|
|Event||14th International Conference on Autonomous Agents and Multiagent Systems 2015 - Istanbul Congress Center, Istanbul, Turkey|
Duration: 4 May 2015 → 8 May 2015
|Conference||14th International Conference on Autonomous Agents and Multiagent Systems 2015|
|Abbreviated title||AAMAS 2015|
|Period||4/05/15 → 8/05/15|
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Systems Engineering
Foster, M. E., Deshmukh, A., Janarthanam, S., Lim, M. Y., Hastie, H., & Aylett, R. (2015). Influencing the Learning Experience Through Affective Agent Feedback in a Real-World Treasure Hunt. In Aamas 15 International Conference on Autonomous Agents and Multi Agent Solutions (Vol. 3, pp. 1711-1712). Association for Computing Machinery.