Skip to Main content Skip to Navigation
Conference papers

Expressing Parenting Styles with Companion Robots

Wafa Johal Sylvie Pesty 1 Gaëlle Calvary 2
1 MAGMA
LIG - Laboratoire d'Informatique de Grenoble
2 IIHM - Ingénierie de l’Interaction Homme-Machine
LIG - Laboratoire d'Informatique de Grenoble
Abstract : The inspiration of methods for research in social human-robot interaction comes primarily from psychology theories dealing with inter-person relationships for rendering robots capable of a behaviour compatible to be among humans. However, which theorems of human cognition and psychology can be made applicable for robots and to make them communicate like humans is a domain currently being worked on. In the context of rendering a robot more suitable to be a companion for children, we propose different parenting styles (namely authoritative and permissive) and evaluate them. As a first step, we use expression cues of the parenting styles; we implemented behaviours of different styles played out by two robots, Nao and Reeti, with body and facial channels respectively for communication. 88 parents watched videos of the robots and replied to a questionnaire about the directivity, and perceived emotional mental state of the robots. The results showed that the expression by the robots were accurate. The scale of directivity was found to be correlated to the Dominance dimension of mental state, whereas the Pleasure and Arousal dimension were not perceived as influencing the robots behaviour.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-00953380
Contributor : Renaud Blanch <>
Submitted on : Friday, February 28, 2014 - 11:34:25 AM
Last modification on : Friday, March 12, 2021 - 11:24:01 AM

Identifiers

  • HAL Id : hal-00953380, version 1

Collections

Citation

Wafa Johal, Sylvie Pesty, Gaëlle Calvary. Expressing Parenting Styles with Companion Robots. Workshop on Applications for Emotional Robots, Human Robot Interaction (HRI) 2014, Mar 2014, Bielefeld, Germany. ⟨hal-00953380⟩

Share

Metrics

Record views

200