As social robots become more popular, so arises the need for these social agents to operate in environments involving multiple users. The robot control systems that govern these multi-party interactions require to be evaluated both from the technical and social standpoints. This paper presents the methodology, setup and results for experiment involving the social robot EMYS participating in multi-party interaction where pairs of participants interacted with the robot in a trivia questions game lead by the robot. In total 32 people, 16 pairs, interacted with the robot twice, which resulted in 32 interactions and 64 filled questionnaires. The developed robot's multi-party interaction system was evaluated both in terms of performance and user assessment. The results show that the robot adhering to human turn-taking social norms reduced the number of occurring conversational errors, which improved the communicative performance from 51.5% to 80.5%, in addition, it made the robot perceived as more communicative, cooperative and fitting user expectations by up to 3 points on a 7 point scale. In addition, the study on repeated interactions revealed that user perception of the robot is affected by subsequent interactions, which can be of consequence in future experiments. This first impression caused lasting effect between 1 and 2 points on user assessment of several robot's aspects, even when contradicted by objective performance measurement of the robot's actual behavior.
�he ar�cle presents the preliminary concept of facial emo�on recogni�on system. �he approach focuses on the feature e�trac�on and selec�on process which simplifies the stage of defining and adding new elements to the feature set. �he evalua�on of the system was performed with two discriminant analysis classifiers, decision tree classifier and four variants of k-nearest neighbors classifier. �he system recogni�es seven emo�ons. �he verifica-�on step u�li�es two databases of face images representing laboratory and natural condi�ons. �ersonal and interpersonal emo�on recogni�on was evaluated. �he best �uality of classifica�on for personal emo�on recogni�on was achieved by ��� classifier, the recogni�on rate was ��.�% for the laboratory condi�ons and ��.�% for natural condi�ons. �or interpersonal emo�on recogni�on the rate was 82.5%.
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