TY - GEN
T1 - DECoReS
T2 - 3rd International Conference on Human-Agent Interaction, HAI 2015
AU - Hasegawa, Komei
AU - Furuya, Seigo
AU - Kanai, Yusuke
AU - Imai, Michita
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/10/21
Y1 - 2015/10/21
N2 - In this paper, we propose DECoReS (Degree Expressional Command Reproducing System) that allows a powered wheelchair to travel autonomously through commands that include "degree expressions" depending on particular users and environments. When users control a wheelchair through voice commands, they can sometimes give such orders as "go straight speedily" and "curve to the right widely" to qualify the traveling commands. As these examples illustrate, optional words called "degree expression" are appended to the commands. Because degree expressions are ambiguous, traveling styles described with such expressions are altered depending on the users and environments. DECoReS realizes the travels suited per user by learning degree expressional commands and traveling data from the users. DECoReS also reproduces travels suited for a current environment that a user is about to drive by exacting the data with a map similar to the current environment. Our experiments show that DECoReS can reproduce different travels depending on degree expressional commands, users, and environments.
AB - In this paper, we propose DECoReS (Degree Expressional Command Reproducing System) that allows a powered wheelchair to travel autonomously through commands that include "degree expressions" depending on particular users and environments. When users control a wheelchair through voice commands, they can sometimes give such orders as "go straight speedily" and "curve to the right widely" to qualify the traveling commands. As these examples illustrate, optional words called "degree expression" are appended to the commands. Because degree expressions are ambiguous, traveling styles described with such expressions are altered depending on the users and environments. DECoReS realizes the travels suited per user by learning degree expressional commands and traveling data from the users. DECoReS also reproduces travels suited for a current environment that a user is about to drive by exacting the data with a map similar to the current environment. Our experiments show that DECoReS can reproduce different travels depending on degree expressional commands, users, and environments.
KW - Ambiguous expression
KW - Autonomous wheelchair
KW - Degree expression
KW - Personal adaptation
UR - http://www.scopus.com/inward/record.url?scp=84962803747&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962803747&partnerID=8YFLogxK
U2 - 10.1145/2814940.2814942
DO - 10.1145/2814940.2814942
M3 - Conference contribution
AN - SCOPUS:84962803747
T3 - HAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
SP - 149
EP - 156
BT - HAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
PB - Association for Computing Machinery, Inc
Y2 - 21 October 2015 through 24 October 2015
ER -