Can children take advantage of nao gaze-based hints during gameplay?

Autor: Eunice Mwangi, Emilia I. Barakova, Marta Díaz, Andreu Català, Matthias Rauterberg
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. CETpD -Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Artificial intelligence
0209 industrial biotechnology
Matching (statistics)
Robots en paral·lel -- Disseny i construcció
02 engineering and technology
Intentions
Interacció persona-ordinador
Human–robot interaction
Session (web analytics)
Task (project management)
03 medical and health sciences
020901 industrial engineering & automation
0302 clinical medicine
Human–computer interaction
Child-robot interaction
TUTOR
computer.programming_language
Social robot
Nonverbal behavior
Intel·ligència artificial
ComputingMilieux_PERSONALCOMPUTING
Social robotics
Gaze-based interactions
Robotics
Gaze
Human-computer interaction
Robot
Attentional cues
Informàtica::Robòtica [Àrees temàtiques de la UPC]
Psychology
Human-robot interaction
Robots
Social psychology
computer
030217 neurology & neurosurgery
Facial orientation
Zdroj: HAI
Recercat. Dipósit de la Recerca de Catalunya
instname
HAI 2017-Proceedings of the 5th International Conference on Human Agent Interaction, 17-20 October 2017, Bielefeld, Germany, 421-424
STARTPAGE=421;ENDPAGE=424;TITLE=HAI 2017-Proceedings of the 5th International Conference on Human Agent Interaction, 17-20 October 2017, Bielefeld, Germany
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Popis: This paper presents a study that analyzes the effects of robots’ gaze hints on children's performance in a card-matching game. We conducted a within-subjects study, in which children played a card game “Memory” in the presence of a robot tutor in two sessions. In one session, the robot gave hints to help the child find matching cards by looking at the correct match and, in the other session, the robot only looked at the child and did not give them any help. Our findings show that the use of gaze hints (help condition) made the matching task significantly easier and that children used a significantly fewer number of tries than without help. This study provides guidelines on how to design interactive behaviors for robots taking the role of tutors to elicit help-seeking behavior in children.
Databáze: OpenAIRE