@inproceedings { chandra17,
	abstract = {The focus of the research described in this paper is to explore children's perception of a social robot's learning abilities and behavior in an educational context. With this purpose, we conducted a long-term study with children in a school by adopting the learning-by-teaching learning method. The scenario involves a "learner-agent" (a robot) which seeks help from a child (a teacher) in correcting the shapes of a few letters it writes. Two versions of the robot were built: one where it learns and another where it does not improve over time. The results of the study suggest that children's social relationship with the robot was not affected by the learning abilities of the agent.},
	address = {Richland, SC},
	booktitle = {Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems},
	keywords = {Affective Computing;Social Robotic Companions;},
	location = {S\~{a}o Paulo, Brazil},
	month = {May},
	numpages = {3},
	pages = {1490–1492},
	publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
	series = {AAMAS' 17},
	title = {Affect of Robot’s Competencies on Children’s Perception},
	year = {2017},
	author = {Shruti Chandra and Raul Benites Paradeda and Hang Yin and Pierre Dillenbourg and Rui Prada and Ana Paiva}
}