The media equation: how people treat computers, television, and new media like real people and places
Hedonic and ergonomic quality aspects determine a software's appeal
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Towards a tool for the Subjective Assessment of Speech System Interfaces (SASSI)
Natural Language Engineering
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Interactive robots as social partners and peer tutors for children: a field trial
Human-Computer Interaction
How do people talk with a robot?: an analysis of human-robot dialogues in the real world
CHI '09 Extended Abstracts on Human Factors in Computing Systems
A Two-Month Field Trial in an Elementary School for Long-Term Human–Robot Interaction
IEEE Transactions on Robotics
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In this paper we present the evaluation results of an exploratory study performed in an open environment with the robot receptionist Olivia. The main focus of the study was to analyze relationships between the robot's social skills and the perceived overall interaction quality, as well as to determine additional important interaction quality features with potential general validity. Our results show positive correlations between the investigated factors, as the ability to socialize with humans achieved the second highest correlation with the perceived interaction quality. One of the most relevant functional aspects for the interaction quality was found to be the ability to respond fast. Performance abilities, such as speech or object recognition were, surprisingly, considered less important. The voice pleasantness was regarded as one of the most important non-functional aspects being ranked higher than a nice physical appearance.