In this article we discuss two studies of children getting acquainted with an autonomous socially assistive robot. The success of the first encounter is key for a sustainable long-term supportive relationship. We provide four validated behavior design elements that enable the robot to robustly get acquainted with the child. The first are five conversational patterns that allow children to comfortably self-disclose to the robot. The second is a reciprocation strategy that enables the robot to adequately respond to the children's self-disclosures. The third is a 'how to talk to me' tutorial. The fourth is a personality profile for the robot that creates more rapport and comfort between the child and the robot. The designs were validated with two user studies ( = 30, = 75, 8-11 years. o. children). The results furthermore showed similarities between how children form relationships with people and how children form relationships with robots. Most importantly, self-disclosure, and specifically how intimate the self-disclosures are, is an important predictor for the success of child-robot relationship formation. Speech recognition errors reduces the intimacy and feeling similar to the robot increases the intimacy of self-disclosures.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520327PMC
http://dx.doi.org/10.3389/frobt.2022.853665DOI Listing

Publication Analysis

Top Keywords

child-robot relationship
8
relationship formation
8
children form
8
form relationships
8
robot
7
children
5
acquainted steps
4
steps child-robot
4
formation article
4
article discuss
4

Similar Publications

Fostering children's creativity through LLM-driven storytelling with a social robot.

Front Robot AI

December 2024

Embodied Social Agents Lab (ESAL), Department of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology, Stockholm, Sweden.

Creativity is an important skill that is known to plummet in children when they start school education that limits their freedom of expression and their imagination. On the other hand, research has shown that integrating social robots into educational settings has the potential to maximize children's learning outcomes. Therefore, our aim in this work was to investigate stimulating children's creativity through child-robot interactions.

View Article and Find Full Text PDF

Child-centered home service design for a family robot companion.

Front Robot AI

July 2024

Service Design Major, Graduate School of Industrial Arts, University of Hongik, Seoul, Republic of Korea.

The home robot-based child activity service aims to cultivate children's social emotions. A design theme was produced by interviewing child development experts and parents. The activity service is composed of 50 plays and 70 conversations.

View Article and Find Full Text PDF

Introduction: Over the years, the conceptual approach to pediatric rehabilitation has reevaluated the parent's role in the therapeutic process, considering parental involvement as a necessary condition for the effectiveness of the intervention. In the field of pediatric intervention, the therapeutic use of robots represents a growing clinical interest, but the feasibility and applicability of these robotic interventions, including those involving parents, remain unclear. This systematic review aims to investigate parental involvement in robot-mediated interventions (RMI) for children and adolescents in the current literature.

View Article and Find Full Text PDF

Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent deficits in social communication, social interaction, and restricted behaviors. The importance of early intervention has been widely demonstrated, and developmental trajectories in ASD emphasize the importance of nonverbal communication, such as intransitive gesture production, as a possible positive prognostic factor for language development. The use of technological tools in the therapy of individuals with ASD has also become increasingly important due to their higher engagement and responsiveness to technological objects, such as robots.

View Article and Find Full Text PDF

The aim of the current study was to investigate children's brain responses to robot-assisted language learning. EEG brain signals were collected from 41 Japanese children who learned French vocabularies in two groups; half of the children learned new words from a social robot that narrated a story in French using animations on a computer screen (Robot group) and the other half watched the same animated story on the screen but only with a voiceover narration and without the robot (Display group). To examine brain activation during the learning phase, we extracted EEG functional connectivity (FC) which is defined as the rhythmic synchronization of signals recorded from different brain areas.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!