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CreativeBot: a Creative Storyteller Agent Developed by Leveraging Pre-trained Language Models
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-0340-3860
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-7257-0761
2022 (English)In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Institute of Electrical and Electronics Engineers (IEEE) , 2022Conference paper, Published paper (Refereed)
Abstract [en]

In an attempt to nurture children's creativity, we developed a creative conversational agent to be used in a collaborative storytelling context with a child. We presented a novel approach to develop creative Artificial Intelligence (AI). Our approach uses the four creativity measures: fluency, flexi-bility, elaboration and originality in order to generate creative behavior. We analyzed and annotated our previously collected storytelling data sets -collected with children- according to our four creativity measures. We then used the extracted and annotated data (636 statements) in order to fine-tune two pre-trained language models (Open AI GPT-3). The two models were aimed at generating creative versus non-creative behavior in a collaborative storytelling scenario. We developed the two models to be able to assess the results and compare them together. We conducted an evaluation to assess stories generated collaboratively between a human and both agents separately (n = 26). Adult Users rated the creativity of the agent according to the stories generated. Results showed that the creative agent was perceived as significantly more creative than the non-creative agent. With the experiment results confirming the validity of our system, we may therefore proceed with testing the effects of the creative behavior of the agent on children's creativity skills.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-317488DOI: 10.1109/IROS47612.2022.9981033ISI: 000909405304075OAI: oai:DiVA.org:kth-317488DiVA, id: diva2:1695095
Conference
International Conference on Intelligent Robots and Systems (IROS)
Note

QC 20230322

Available from: 2022-09-12 Created: 2022-09-12 Last updated: 2023-03-22Bibliographically 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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Publisher's full texthttps://ieeexplore.ieee.org/document/9981033

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Elgarf, MahaPeters, Christopher

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