1. Αποθετήριο Παραδοτέων Υποτρόφων Δράσεων ΕΣΠΑ Τριτοβάθμιας Εκπαίδευσης 2017-2023
2. Όλο το Αποθετήριο
3. Ερευνητικές ομάδες

Τύπος:	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Which one? Choosing favorite robot after different style storytelling and robots’ conversation.
Συγγραφέας:	[EL] Βελέντζα, Άννα-Μαρία[EN] Velentza, Anna-Maria [EL] Φαχαντίδης, Νικόλαος[EN] Fachantidis, Nikolaos [EL] Πλιάσα, Σοφία[EN] Pliasa, Sofia
Ημερομηνία:	09/09/2021
Περίληψη:	The influence of Human-Care Service Robots in human-robot interaction is becoming of great importance, because of the roles that the robots are taking in today and future society. Thus, it is important to identify how humans can interact, collaborate, and learn from social robots more efficiently. Additionally, it is important to determine the robots’ modalities that can increase the humans’ perceived likeness, knowledge acquisition and enhance human-robot collaboration. The present study aims to identify the optimal social service robots’ modalities that enhance the human learning process, level of enjoyment from the interaction, and even attract the humans’ attention to choose a robot to collaborate with it. For this purpose, we designed two experiments, split in two parts. Both the experiments were between groups and human participants had the chance to watch the Nao robot, performing a storytelling about the history of robots in a museum- educational activity. The robot’s modalities were manipulated on its body movements (expressive arm and head gestures) while performing the storytelling, friendly attitude expressions and storytelling and personality traits. After the robot’s storytelling, participants filled out a knowledge acquisition and a self-reported enjoyment level questionnaire. In the second part, we introduce the idea of participants witnessing a discussion between the robots with the different modalities and were asked to choose the robot with which they want to collaborate in a similar activity. Results indicated that participants prefer to collaborate with cheerful personality robots with expressive body movements. Especially when they were asked to choose between two cheerful, expressive body movements robots, they preferred the one which originally gave them the storytelling. Interestingly, our participants were not preferred to collaborate with an extremely friendly attitude storytelling style.
Γλώσσα:	Αγγλικά
Σελίδες:	15
DOI:	10.3389/frobt.2021.700005
EISSN:	2296-9144
Θεματική κατηγορία:	[EL] Μηχανική, γενικά[EN] Engineering, general
Λέξεις-κλειδιά:	robot personality traits; expressive body movement; Storytelling; conversation; human–robot interaction; robot characteristics; social robotics/HRI; knowledge acquisition
Κάτοχος πνευματικών δικαιωμάτων:	© 2021 Velentza, Fachantidis and Pliasa
Όροι και προϋποθέσεις δικαιωμάτων:	This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη:	https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2021.700005/full
Ηλεκτρονική διεύθυνση περιοδικού:	https://www.frontiersin.org/journals/robotics-and-ai
Τίτλος πηγής δημοσίευσης:	Frontiers in Robotics and AI
Τόμος:	8
Σελίδες τεκμηρίου (στην πηγή):	Article no 700005
Σημειώσεις:	This research was funded in the context of the project “Mapping the characteristics of social robots in order to enhance cognitive functions and familiarity in humans” (MIS 5047258) under the call for proposals “Support for researchers with an emphasis on young researchers” (ΕDBΜ-103). The project is co-financed by Greece and the European Union (European Social Fund; ESF) by the Operational Programme Human Resources Development, Education and Lifelong Learning 2014-2020.
Εμφανίζεται στις συλλογές:	Ερευνητικές ομάδες