Dialogue Patterns of an Arabic Robot Receptionist
Conference Paper, Proceedings of 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI '10), pp. 167 - 168, March, 2010
Abstract
Hala is a bilingual (Arabic and English) culturally-sensitive robot receptionist located at Carnegie Mellon University in Qatar. We report results from Hala's deployment by comparing her English dialogue corpus to that of a similar monolingual robot (named "Tank") located at CMU's Pittsburgh campus. Specifically, we compare the average number of turns per interaction, duration of interactions, frequency of interactions with personal questions, rate of non-understandings, and rate of thanks after the robot's answer. We provide possible explanations for observed similarities and differences and highlight potential cultural implications on the interactions.
Notes
Copyright ACM, IEEE, 2010.
Copyright ACM, IEEE, 2010.
BibTeX
@conference{Makatchev-2010-10404,author = {Maxim Makatchev and Imran Aslam Fanaswala and Ameer Ayman Abdulsalam and Brett Browning and Wael Mahmoud Ghazzawi and Majd Sakr and Reid Simmons},
title = {Dialogue Patterns of an Arabic Robot Receptionist},
booktitle = {Proceedings of 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI '10)},
year = {2010},
month = {March},
pages = {167 - 168},
publisher = {ACM/IEEE},
keywords = {human-robot interaction, natural language dialogue, social robots, conversational agents, culture},
}
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