Dialogue patterns of an arabic robot receptionist

Authors:
Maxim Makatchev;Imran Fanaswala;Ameer Abdulsalam;Brett Browning;Wael Ghazzawi;Majd Sakr;Reid Simmons
Affiliations:
Cargnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University in Qatar, Doha, Qatar;Carnegie Mellon University in Qatar, Doha, Qatar;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University in Qatar, Doha, Qatar;Carnegie Mellon University in Qatar, Doha, Qatar and Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA
Venue:
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Year:
2010

Citing 0
Cited 3

Hierarchical dialogue system for guide robot in shopping mall environments

TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Perception of personality and naturalness through dialogues by native speakers of American English and Arabic

SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
A multi-modal approach for natural human-robot interaction

ICSR'12 Proceedings of the 4th international conference on Social Robotics

Quantified Score

Hi-index	0.00

Visualization

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.