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Reward seeking or loss aversion?: impact of regulatory focus theory on emotional induction in children and their behavior towards a
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-0340-3860
Uppsala University, Uppsala, Sweden.
Instituto Superior Tecnico (IST), Universidade de Lisboa and INESC-ID, Lisbon, Portugal.
2021 (English)In: Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM) , 2021Conference paper, Published paper (Refereed)
Abstract [en]

According to psychology research, emotional induction has positive implications in many domains such as therapy and education. Our aim in this paper was to manipulate the Regulatory Focus Theory to assess its impact on the induction of regulatory focus related emotions in children in a pretend play scenario with a social robot. The Regulatory Focus Theory suggests that people follow one of two paradigms while attempting to achieve a goal; by seeking gains (promotion focus - associated with feelings of happiness) or by avoiding losses (prevention focus - associated with feelings of fear).We conducted a study with 69 school children in two different conditions (promotion vs. prevention). We succeeded in inducing happiness emotions in the promotion condition and found a resulting positive effect of the induction on children's social engagement with the robot. We also discuss the important implications of these results in both educational and child robot interaction fields. 

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2021.
Keywords [en]
Emotional induction, Human robot interaction, Regulatory focus, Social engagement, Social robotics, Computation theory, Economic and social effects, Educational robots, Human engineering, Child-robot interactions, Loss aversion, Social robots
National Category
Human Computer Interaction Robotics and automation
Identifiers
URN: urn:nbn:se:kth:diva-309635DOI: 10.1145/3411764.3445486Scopus ID: 2-s2.0-85106713221OAI: oai:DiVA.org:kth-309635DiVA, id: diva2:1643274
Conference
2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021, 8-13 May 2021
Note

Part of proceedings: ISBN 978-1-4503-8096-6

QC 20220309

Available from: 2022-03-09 Created: 2022-03-09 Last updated: 2025-02-05Bibliographically approved
In thesis
1. Child-Robot Behavioral Alignment and Creativity Performance
Open this publication in new window or tab >>Child-Robot Behavioral Alignment and Creativity Performance
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In recent years, robots have been prevalent in almost all domains. One of the most common applications of social robotics is for education with children. This dissertation addresses the integration of creativity-related education in child-robot interactions. Creativity is a required skill in the 21st century. It is regarded by many researchers as an essential survival skill. It has been established that current educational methods limit children's freedom of expression and therefore, negatively impact their creative abilities. To date, a few research attempts have focused on developing social child-robot interactions to foster children's creativity. 

In this work, methods were investigated to boost children's creativity skills through social interactions with a robot in a storytelling context. To define and evaluate creativity, standard four creativity measures were used throughout the thesis: fluency, flexibility, elaboration and originality. 

First, a social activity was developed to be performed between a social robot and a child. The activity comprises of two games: an interactive priming game and a storytelling game. The activity has been used throughout the thesis to evaluate implemented algorithms and methods. Second, 3 field studies were conducted with 210 school-aged children (5-10 years old). In these studies, the developed activity was used and notions of emotional alignment and creativity alignment between a child and a social robot were examined. In the context of this work, the concept of behavioral alignment refers to the synchronisation between the robot and the child that results in the child mirroring the robot. Emotional alignment occurs when a child mirrors the robot's emotions. Whereas, creativity alignment results in the child behaving creatively as an effect of interacting with a creative robot. Through the conducted studies, the effects of the various types of child-robot behavioral alignment on children's emotional states, engagement with the robot and children's creativity skills were investigated. Third, a computational model that enables a conversational agent to collaboratively interact with a child in a storytelling activity in a creative manner was produced. The computational model was implemented to be used in an integrated manner with the software interface of the storytelling game. The data collected in the first two studies was used to train the computational model that was assessed through the third and last study.

The findings highlight the effectiveness of social robots in promoting children's creativity skills. They emphasize the potential of the developed educational application (storytelling game interface + computational model) in improving children's creative abilities. This work enriches the literature with new insights on developing robot's behaviors that benefit children's creative processes and therefore, is significant to the child-robot interaction (cHRI) community.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2022. p. 93
Series
TRITA-EECS-AVL ; 2022:50
National Category
Information Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-317490 (URN)978-91-8040-315-3 (ISBN)
Public defence
2022-10-05, VIC-studion, Lindstedtsvägen 5, plan 4, KTH Campus, Stockholm, 13:00 (English)
Opponent
Supervisors
Note

QC 20220913

Available from: 2022-09-13 Created: 2022-09-12 Last updated: 2022-10-04Bibliographically approved

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Elgarf, Maha

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