Abstract
Robotic learning environments may benefit if combined with intelligent tutoring technologies, but it is unclear how best to integrate the two types of systems. We explore this integration using a tangible teachable agent paradigm, where students teach a robot about geometry concepts. To identify potential design directions, we employ a user-centered method called Speed Dating, involving construction of several scenarios probing student needs, and then orchestration of user enactments of the scenarios. We found that students seek activities that provide them with an appropriate level of challenge, feelings of discovery, opportunity for physicality, and a sense of responsibility for the robot. We discuss the implications of these findings with respect to building a tangible teachable robot. By employing HCI methods underutilized in learning, we gain traction on an important research challenge in education technology.
| Original language | English (US) |
|---|---|
| Title of host publication | Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings |
| Pages | 243-249 |
| Number of pages | 7 |
| Volume | 7315 LNCS |
| DOIs | |
| State | Published - 2012 |
| Event | 11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece Duration: Jun 14 2012 → Jun 18 2012 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 7315 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 11th International Conference on Intelligent Tutoring Systems, ITS 2012 |
|---|---|
| Country | Greece |
| City | Chania, Crete |
| Period | 6/14/12 → 6/18/12 |
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Keywords
- intelligent tutoring systems
- robotic learning environments
- tangible learning environments
- teachable agents
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
User-centered design of a teachable robot. / Walker, Erin; Burleson, Winslow.
Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. Vol. 7315 LNCS 2012. p. 243-249 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7315 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - User-centered design of a teachable robot
AU - Walker, Erin
AU - Burleson, Winslow
PY - 2012
Y1 - 2012
N2 - Robotic learning environments may benefit if combined with intelligent tutoring technologies, but it is unclear how best to integrate the two types of systems. We explore this integration using a tangible teachable agent paradigm, where students teach a robot about geometry concepts. To identify potential design directions, we employ a user-centered method called Speed Dating, involving construction of several scenarios probing student needs, and then orchestration of user enactments of the scenarios. We found that students seek activities that provide them with an appropriate level of challenge, feelings of discovery, opportunity for physicality, and a sense of responsibility for the robot. We discuss the implications of these findings with respect to building a tangible teachable robot. By employing HCI methods underutilized in learning, we gain traction on an important research challenge in education technology.
AB - Robotic learning environments may benefit if combined with intelligent tutoring technologies, but it is unclear how best to integrate the two types of systems. We explore this integration using a tangible teachable agent paradigm, where students teach a robot about geometry concepts. To identify potential design directions, we employ a user-centered method called Speed Dating, involving construction of several scenarios probing student needs, and then orchestration of user enactments of the scenarios. We found that students seek activities that provide them with an appropriate level of challenge, feelings of discovery, opportunity for physicality, and a sense of responsibility for the robot. We discuss the implications of these findings with respect to building a tangible teachable robot. By employing HCI methods underutilized in learning, we gain traction on an important research challenge in education technology.
KW - intelligent tutoring systems
KW - robotic learning environments
KW - tangible learning environments
KW - teachable agents
UR - http://www.scopus.com/inward/record.url?scp=84862504680&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862504680&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-30950-2_30
DO - 10.1007/978-3-642-30950-2_30
M3 - Conference contribution
AN - SCOPUS:84862504680
SN - 9783642309496
VL - 7315 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 243
EP - 249
BT - Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
ER -