While creativity has been previously studied in Child-Robot interaction, the effect of regulatory focus on creativity skills has not been investigated. This paper presents an exploratory study that, for the first time, uses the Regulatory Focus Theory to assess children's creativity skills in an educational context with a social robot. We investigated whether two key emotional regulation techniques, promotion (approach) and prevention (avoidance), stimulate creativity during a storytelling activity between a child and a robot. We conducted a between-subjects field study with 69 children between the ages of 7 and 9 years old, divided between two study conditions: (1) promotion, where a social robot primes children for action by eliciting positive emotional states, and (2) prevention, where a social robot primes children for avoidance by evoking a states related to security and safety associated with blockage-oriented behaviors. To assess changes in creativity as a response to the priming interaction, children were asked to tell stories to the robot before (pre-test) and after (post-test) the priming interaction. We measured creativity levels by analyzing the verbal content of the stories. We coded verbal expressions related to creativity variables, including fluency, flexibility, elaboration, and originality. Our results show that children in the promotion condition generated significantly more ideas, and their ideas were on average more original in the stories they created in the post-test rather than in the pre-test. We also modeled the process of creativity that emerges during storytelling in response to the robot's verbal behavior. This paper enriches the scientific understanding of creativity emergence in child-robot collaborative interactions.

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.

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.

We present the design and evaluation of a storytelling activity between children and an autonomous robot aiming at nurturing children's creativity. We assessed whether a robot displaying creative behavior will positively impact children's creativity skills in a storytelling context. We developed two models for the robot to engage in the storytelling activity: creative model, where the robot generates creative story ideas, and the non-creative model, where the robot generates non-creative story ideas. We also investigated whether the type of the storytelling interaction will have an impact on children's creativity skills. We used two types of interaction: 1) Collaborative, where the child and the robot collaborate together by taking turns to tell a story. 2) Non-collaborative: where the robot first tells a story to the child and then asks the child to tell it another story. We conducted a between-subjects study with 103 children in four different conditions: Creative collaborative, Non-creative collaborative, Creative non-collaborative and Non-Creative non-collaborative. The children's stories were evaluated according to the four standard creativity variables: fluency, flexibility, elaboration and originality. Results emphasized that children who interacted with a creative robot showed higher creativity during the interaction than children who interacted with a non-creative robot. Nevertheless, no significant effect of the type of the interaction was found on children's creativity skills. Our findings are significant to the Child-Robot interaction (cHRI) community since they enrich the scientific understanding of the development of child-robot encounters for educational applications.

In educational scenarios involving social robots, understanding the way robot behaviors affect children's motivation to achieve their learning goals is of vital importance. It is crucial for the formation of a trust relationship between the child and the robot so that the robot can effectively fulfill its role as a learning companion. In this study, we investigate the effect of a regulatory focus design scenario on the way children interact with a social robot. Regulatory focus theory is a type of self-regulation that involves specific strategies in pursuit of goals. It provides insights into how a person achieves a particular goal, either through a strategy focused on "promotion" that aims to achieve positive outcomes or through one focused on "prevention" that aims to avoid negative outcomes. In a user study, 69 children (7-9 years old) played a regulatory focus design goal-oriented collaborative game with the EMYS robot. We assessed children's perception of likability and competence and their trust in the robot, as well as their willingness to follow the robot's suggestions when pursuing a goal. Results showed that children perceived the prevention-focused robot as being more likable than the promotion-focused robot. We observed that a regulatory focus design did not directly affect trust. However, the perception of likability and competence was positively correlated with children's trust but negatively correlated with children's acceptance of the robot's suggestions.

Creativity is a vital inherent human trait. In an attempt to stimulate children's creativity, we present the design and evaluation of an interaction between a child and a social robot in a storytelling context. Using a software interface, children were asked to collaboratively create a story with the robot. We conducted a study with 38 children in two conditions. In one condition, the children interacted with a robot exhibiting creative behavior while in the other condition, they interacted with a robot exhibiting non creative behavior. The robot's creativity was defined as verbal and performance creativity. The robot's creative and non creative behaviors were extracted from a previously collected data set and were validated in an online survey with 100 participants. Contrary to our initial hypothesis, children's creativity measures were not higher in the creative condition than in the non creative condition. Our results suggest that merely the robot's creative behavior is insufficient to stimulate creativity in children in a child robot interaction. We further discuss other design factors that may facilitate sparking creativity in children in similar settings in the future.

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. 

Social robots can be used to motivate children to engage in learning activities in education. In such contexts, they might need to persuade children to achieve specific learning goals. We conducted an exploratory study with 42 children in a museum setting. Children were asked to play an interactive storytelling game on a touchscreen. A Furhat robot guided them through the steps of creating the character of a story in two conditions. In one condition, the robot tried to influence children's choices using high-controlling language. In the other, the robot left children free to choose and used a low-controlling language. Participants in the persuasive condition generally followed the indications of the robot. Interestingly, the use of high-controlling language did not affect children's perceived trust towards the robot. We discuss the important implications that these results may have when designing children-robot interactions.

In order to design social agents for long term interactions, it is important to enable them to adapt to the users. In this paper, we chose personality as a medium for adaptation. We conducted a study with 20 participants who watched a story presented by a virtual character in one of two conditions: extroverted or introverted. The study aimed at assessing the impacts of matching the personality of the user with the virtual character through body language on the likability of the character and the information recall of the story. Our findings do not appear to coincide with theoretical expectations since the extroverted character had higher ratings of likability regardless of the personality of the user. Results have also shown a marginal positive effect of the encounter with the introverted character in terms of memory recall. We discuss the important implications that these results may have in the future for human agent interaction design.