TY - GEN
T1 - Doodlebot
T2 - 19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024
AU - Williams, Randi
AU - Ali, Safnah
AU - Alcantara, Raúl
AU - Burghleh, Tasneem
AU - Alghowinem, Sharifa
AU - Breazeal, Cynthia
N1 - Publisher Copyright:
© 2024 IEEE Computer Society. All rights reserved.
PY - 2024/3/11
Y1 - 2024/3/11
N2 - Today, Artificial Intelligence (AI) is prevalent in everyday life, with emerging technologies like AI companions, autonomous vehicles, and AI art tools poised to significantly transform the future. The development of AI curricula that shows people how AI works and what they can do with it is a powerful way to prepare everyone, and especially young learners, for an increasingly AI-driven world. Educators often employ robotic toolkits in the classroom to boost engagement and learning. However, these platforms are generally unsuitable for young learners and learners without programming expertise. Moreover, these platforms often serve as either programmable artifacts or pedagogical agents, rarely capitalizing on the opportunity to support students in both capacities. We designed Doodlebot, a mobile social robot for hands-on AI education to address these gaps. Doodlebot is an effective tool for exploring AI with grade school (K-12) students, promoting their understanding of AI concepts such as perception, representation, reasoning and generation. We begin by elaborating Doodlebot's design, highlighting its reliability, user-friendliness, and versatility. Then, we demonstrate Doodlebot's versatility through example curricula about AI character design, autonomous robotics, and generative AI accessible to young learners. Finally, we share the results of a preliminary user study with elementary school youth where we found that the physical Doodlebot platform was as effective and user-friendly as the virtual version. This work offers insights into designing interactive educational robots that can inform future AI curricula and tools.
AB - Today, Artificial Intelligence (AI) is prevalent in everyday life, with emerging technologies like AI companions, autonomous vehicles, and AI art tools poised to significantly transform the future. The development of AI curricula that shows people how AI works and what they can do with it is a powerful way to prepare everyone, and especially young learners, for an increasingly AI-driven world. Educators often employ robotic toolkits in the classroom to boost engagement and learning. However, these platforms are generally unsuitable for young learners and learners without programming expertise. Moreover, these platforms often serve as either programmable artifacts or pedagogical agents, rarely capitalizing on the opportunity to support students in both capacities. We designed Doodlebot, a mobile social robot for hands-on AI education to address these gaps. Doodlebot is an effective tool for exploring AI with grade school (K-12) students, promoting their understanding of AI concepts such as perception, representation, reasoning and generation. We begin by elaborating Doodlebot's design, highlighting its reliability, user-friendliness, and versatility. Then, we demonstrate Doodlebot's versatility through example curricula about AI character design, autonomous robotics, and generative AI accessible to young learners. Finally, we share the results of a preliminary user study with elementary school youth where we found that the physical Doodlebot platform was as effective and user-friendly as the virtual version. This work offers insights into designing interactive educational robots that can inform future AI curricula and tools.
KW - Social robots
KW - collaboration
KW - creativity
KW - education
UR - http://www.scopus.com/inward/record.url?scp=85188430121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188430121&partnerID=8YFLogxK
U2 - 10.1145/3610977.3634950
DO - 10.1145/3610977.3634950
M3 - Conference contribution
AN - SCOPUS:85188430121
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 772
EP - 780
BT - HRI 2024 - Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
Y2 - 11 March 2024 through 15 March 2024
ER -