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The paper presents the design of an assistive reading tool that integrates read-aloud technology with eye-tracking to regulate the speed of reading and support struggling readers in following the text while listening to it. The paper describes the design rationale of this approach, following the theory of auditory-visual integration, in terms of an automatic self-adaptable technique based on the reader's gaze that provides an individualized interaction experience. This tool has been assessed in a controlled experiment with 20 children (aged 8-10 years) with a diagnosis of dyslexia and a control group of 20 children with typical reading abilities. The results show that children with reading difficulties improved their comprehension scores by 24% measured on a standardized instrument for the assessment of reading comprehension, and that children with more inaccurate reading (N=9) tended to benefit more. The findings are discussed in terms of a better integration between audio and visual text information, paving the way to improve standard read-aloud technology with gaze-contingency and self-adaptable techniques to personalize the reading experience.

This paper presents key aspects and trade-offs that designers and Human-Computer Interaction practitioners might encounter when designing multimodal interaction for older adults. The paper gathers literature on multimodal interaction and assistive technology, and describes a set of design challenges specific for older users. Building on these main design challenges, four trade-offs in the design of multimodal technology for this target group are presented and discussed. To highlight the relevance of the trade-offs in the design process of multimodal technology for older adults, two of the four reported trade-offs are illustrated with two user studies that explored mid-air and speech-based interaction with a tablet device. The first study investigates the design trade-offs related to redundant multimodal commands in older, middle-aged and younger adults, whereas the second one investigates the design choices related to the definition of a set of mid-air one-hand gestures and voice input commands. Further reflections highlight the design trade-offs that such considerations bring in the process, presenting an overview of the design choices involved and of their potential consequences.

This work explores how comic-based digital storytelling can support primary school children in reflecting on situations involving conflict in the classroom. In particular, we focus on investigating three specific aspects: (1) the potential of digital story composition conducted collaboratively or individually, (2) the children’s perception on the use of digital storytelling for reflecting on conflicts that might arise in class and, (3) the teachers’ experience of introducing a digital tool for collabo- rative storytelling and comics composition in an educational context. In this paper, we explored these aspects by develop- ing a case study. A class of 12 children and 2 teachers explore the use of a digital tool, named Communics, aimed at creat- ing digital narratives individually and collaboratively. The results show that digital narratives created from collabora- tive storytelling are longer, more structured, and richer with meaning compared to stories from individual work. More- over, it emerged that children prefer to work collaboratively, even if it meant compromising, going slower and waiting for their turn. Finally, teachers appreciated the collaborative use of Communics, and in particular, the turn-based feature as children can practice the narrative re-elaboration with a peer while waiting for their turn.

This work explores how comic-based digital storytelling can support primary school children in reflecting on situations involving conflict in the classroom. In particular, we focus on investigating three specific aspects: (1) the potential of digital story composition conducted collaboratively or individually, (2) the children’s perception on the use of digital storytelling for reflecting on conflicts that might arise in class and, (3) the teachers’ experience of introducing a digital tool for collabo- rative storytelling and comics composition in an educational context. In this paper, we explored these aspects by develop- ing a case study. A class of 12 children and 2 teachers explore the use of a digital tool, named Communics, aimed at creat- ing digital narratives individually and collaboratively. The results show that digital narratives created from collabora- tive storytelling are longer, more structured, and richer with meaning compared to stories from individual work. More- over, it emerged that children prefer to work collaboratively, even if it meant compromising, going slower and waiting for their turn. Finally, teachers appreciated the collaborative use of Communics, and in particular, the turn-based feature as children can practice the narrative re-elaboration with a peer while waiting for their turn.

This paper presents two early studies aimed at investigating issues concerning the design of multimodal in- teraction - based on voice commands and one-hand mid-air gestures - with mobile technology specifically designed for visually impaired and elderly users. These studies were carried out on a new device allowing enhanced speech recognition (including lip movement analysis) and mid-air gesture interaction on Android operating system (smartphone and tablet PC). We discuss the initial findings and challenges raised by these novel interaction modalities, and in particular the issues regarding the design of feedback and feedforward, the problem of false positives, and the correct orientation and distance of the hand and the device during the interaction. Finally, we present a set of feedback and feedforward solutions designed to overcome the main issues highlighted.

This paper presents two early studies aimed at investigating issues concerning the design of multimodal in- teraction - based on voice commands and one-hand mid-air gestures - with mobile technology specifically designed for visually impaired and elderly users. These studies were carried out on a new device allowing enhanced speech recognition (including lip movement analysis) and mid-air gesture interaction on Android operating system (smartphone and tablet PC). We discuss the initial findings and challenges raised by these novel interaction modalities, and in particular the issues regarding the design of feedback and feedforward, the problem of false positives, and the correct orientation and distance of the hand and the device during the interaction. Finally, we present a set of feedback and feedforward solutions designed to overcome the main issues highlighted.

This paper presents two early studies aimed at investigating issues concerning the design of multimodal in- teraction - based on voice commands and one-hand mid-air gestures - with mobile technology specifically designed for visually impaired and elderly users. These studies were carried out on a new device allowing enhanced speech recognition (including lip movement analysis) and mid-air gesture interaction on Android operating system (smartphone and tablet PC). We discuss the initial findings and challenges raised by these novel interaction modalities, and in particular the issues regarding the design of feedback and feedforward, the problem of false positives, and the correct orientation and distance of the hand and the device during the interaction. Finally, we present a set of feedback and feedforward solutions designed to overcome the main issues highlighted.

This paper presents two early studies aimed at investigating issues concerning the design of multimodal in- teraction - based on voice commands and one-hand mid-air gestures - with mobile technology specifically designed for visually impaired and elderly users. These studies were carried out on a new device allowing enhanced speech recognition (including lip movement analysis) and mid-air gesture interaction on Android operating system (smartphone and tablet PC). We discuss the initial findings and challenges raised by these novel interaction modalities, and in particular the issues regarding the design of feedback and feedforward, the problem of false positives, and the correct orientation and distance of the hand and the device during the interaction. Finally, we present a set of feedback and feedforward solutions designed to overcome the main issues highlighted.

This paper presents two early studies aimed at investigating issues concerning the design of multimodal in- teraction - based on voice commands and one-hand mid-air gestures - with mobile technology specifically designed for visually impaired and elderly users. These studies were carried out on a new device allowing enhanced speech recognition (including lip movement analysis) and mid-air gesture interaction on Android operating system (smartphone and tablet PC). We discuss the initial findings and challenges raised by these novel interaction modalities, and in particular the issues regarding the design of feedback and feedforward, the problem of false positives, and the correct orientation and distance of the hand and the device during the interaction. Finally, we present a set of feedback and feedforward solutions designed to overcome the main issues highlighted.

In this paper, we describe a pilot study of a digital storytelling project conducted with primary school children. The study investigates how comic-based storytelling supported by a digital tool, named Communics, can facilitate primary school children in creating stories and in reflecting on situations involving discrimination within the classroom context. In a first stage, two teachers have been involved to negotiate the intervention, as well as define graphical and textual content on which to base the narrations in Communics. In a second stage, we piloted an intervention within a class of 12 children to investigate the scaffolding opportunities offered by Communics as well as different aspects of storytelling, as engagement and motivation, and explore the use of the storytelling practice as a reflective process. Finally, we discuss preliminary insights and suggestions for future studies.

In this paper, we describe a pilot study of a digital storytelling project conducted with primary school children. The study investigates how comic-based storytelling supported by a digital tool, named Communics, can facilitate primary school children in creating stories and in reflecting on situations involving discrimination within the classroom context. In a first stage, two teachers have been involved to negotiate the intervention, as well as define graphical and textual content on which to base the narrations in Communics. In a second stage, we piloted an intervention within a class of 12 children to investigate the scaffolding opportunities offered by Communics as well as different aspects of storytelling, as engagement and motivation, and explore the use of the storytelling practice as a reflective process. Finally, we discuss preliminary insights and suggestions for future studies.

Joint narratives are often used in the context of reconciliation interventions for people in social conflict situations, which arise, for example, due to ethnic or religious differences. The interventions aim to encourage a change in attitudes of the participants towards each other. Typically, a human mediator is fundamental for achieving a successful intervention. In this work, we present an automated approach to support remote interactions between pairs of participants as they contribute to a shared story in their own language. A key component is an automated cognitive tutor that guides the participants through a controlled escalation/de-escalation process during the development of a joint narrative. We performed a controlled study comparing a trained human mediator to the automated mediator. The results demonstrate that an automated mediator, although simple at this stage, effectively supports interactions and helps to achieve positive outcomes comparable to those attained by the trained human mediator.

Poor lifestyle represents a health risk factor and is the leading cause of morbidity and chronic conditions. The impact of poor lifestyle can be significantly altered by individual behavior change. Although the current shift in healthcare towards a long lasting modifiable behavior, however, with increasing caregiver workload and individuals' continuous needs of care, there is a need to ease caregiver's work while ensuring continuous interaction with users. This paper describes the design and validation of CoachAI, a conversational agent assisted health coaching system to support health intervention delivery to individuals and groups. CoachAI instantiates a text based healthcare chatbot system that bridges the remote human coach and the users. This research provides three main contributions to the preventive healthcare and healthy lifestyle promotion: (1) it presents the conversational agent to aid the caregiver; (2) it aims to decrease caregiver's workload and enhance care given to users, by handling (automating) repetitive caregiver tasks; and (3) it presents a domain independent mobile health conversational agent for health intervention delivery. We will discuss our approach and analyze the results of a one month validation study on physical activity, healthy diet and stress management.

Building conversational agents have many technical, design and linguistic challenges. Other more complex elements include using emotionally intelligent conversational agent to build trust with the individuals. In this chapter, we introduce the nature of conversational user interfaces (CUIs) for health and describe UX design principles informed by a systematic literature review of relevant research works. We analyze scientific literature in conversational interfaces and chatterbots, providing a survey of major studies and describing UX design principles and interaction patterns.

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

In everyday life we engage in social interactions and use our body to communicate social actions and intentions in a seamless way. Our body, our behaviour and the behaviour of the people around us tell a lot about the social situations in which we are involved and of the social context in which we act. For example, the way people direct their attention while engaged in a conversation or the spatial distribution of a group during an activity can reveal information about the social context that characterises that particular social situation. Inspired by these observations, several researchers have investigated ways to automatically interpret social signals, using sensors and algorithms for detecting and modelling behavioural cues related to social interactions. With the increasing availability of sensors and technology in our environment, we believe that this research direction is highly relevant nowadays and presents an opportunity for further investigation of social signals in the HCI domain. In this dissertation, I discuss the design and evaluation of socially-aware systems, technologies that are sensitive to the social context in which they are deployed. The focus of this work is to explore interfaces that support engagement in co-located multi-user interactions, taking into account users’ nonverbal behaviour, including gaze, facial expressions, and body movements. In particular, the research goals are twofold: to understand which nonverbal cues and social signals reflect engagement in co-located group activities and to design systems that can utilise this information. The thesis presents an in-depth analysis of the state of art in designing socially-aware systems. Moreover, it presents empirical studies that describe the design, implementation and assessment (both in real-world and laboratory settings) of such systems. This research has involved the development and evaluation of prototypes in their real context of use. Specifically, the thesis focuses on socially

Cada día la televisión y los periódicos nos hablan de países queviven bajo dictaduras despiadadas y opresivas, o en una condición de violenta ocupación militar extranjera. En situaciones de este tipo, la posición de las personas que creen en el principio de la no violencia y que quieren dar sucontribución al restablecimiento de la libertad se hace muy complicada y conflictual. ¿Cómo es posible cultivar este principio cuando el contexto violento y represivo hace impracticables las formas pacíficas de lucha? Y, si se llega a la conclusión de que el uso de las armas es inevitable, ¿cuáles son los límites queno hay que sobrepasar, para que un «mal necesario» no se convierta en algo moralmente inaceptable?El artículo afronta este tema a través de las páginas de algunos escritores italianos que han representado la lucha partisana contra el nazifascismo. En sus personajes, estas reflexiones son muy frecuentes. En algunos de ellos, la raíz es religiosa: Fausto e Anna [Fausto y Anna] (Cassola, 1975), escrito en 1952. En otros, es representada por una ideología política que no acepta la idea de violencia: La Storia [La historia] (Morante,1995), escrito en 1974.

Cada día la televisión y los periódicos nos hablan de países queviven bajo dictaduras despiadadas y opresivas, o en una condición de violenta ocupación militar extranjera. En situaciones de este tipo, la posición de las personas que creen en el principio de la no violencia y que quieren dar sucontribución al restablecimiento de la libertad se hace muy complicada y conflictual. ¿Cómo es posible cultivar este principio cuando el contexto violento y represivo hace impracticables las formas pacíficas de lucha? Y, si se llega a la conclusión de que el uso de las armas es inevitable, ¿cuáles son los límites queno hay que sobrepasar, para que un «mal necesario» no se convierta en algo moralmente inaceptable?El artículo afronta este tema a través de las páginas de algunos escritores italianos que han representado la lucha partisana contra el nazifascismo. En sus personajes, estas reflexiones son muy frecuentes. En algunos de ellos, la raíz es religiosa: Fausto e Anna [Fausto y Anna] (Cassola, 1975), escrito en 1952. En otros, es representada por una ideología política que no acepta la idea de violencia: La Storia [La historia] (Morante,1995), escrito en 1974.

Cada día la televisión y los periódicos nos hablan de países queviven bajo dictaduras despiadadas y opresivas, o en una condición de violenta ocupación militar extranjera. En situaciones de este tipo, la posición de las personas que creen en el principio de la no violencia y que quieren dar sucontribución al restablecimiento de la libertad se hace muy complicada y conflictual. ¿Cómo es posible cultivar este principio cuando el contexto violento y represivo hace impracticables las formas pacíficas de lucha? Y, si se llega a la conclusión de que el uso de las armas es inevitable, ¿cuáles son los límites queno hay que sobrepasar, para que un «mal necesario» no se convierta en algo moralmente inaceptable?El artículo afronta este tema a través de las páginas de algunos escritores italianos que han representado la lucha partisana contra el nazifascismo. En sus personajes, estas reflexiones son muy frecuentes. En algunos de ellos, la raíz es religiosa: Fausto e Anna [Fausto y Anna] (Cassola, 1975), escrito en 1952. En otros, es representada por una ideología política que no acepta la idea de violencia: La Storia [La historia] (Morante,1995), escrito en 1974.

Cada día la televisión y los periódicos nos hablan de países queviven bajo dictaduras despiadadas y opresivas, o en una condición de violenta ocupación militar extranjera. En situaciones de este tipo, la posición de las personas que creen en el principio de la no violencia y que quieren dar sucontribución al restablecimiento de la libertad se hace muy complicada y conflictual. ¿Cómo es posible cultivar este principio cuando el contexto violento y represivo hace impracticables las formas pacíficas de lucha? Y, si se llega a la conclusión de que el uso de las armas es inevitable, ¿cuáles son los límites queno hay que sobrepasar, para que un «mal necesario» no se convierta en algo moralmente inaceptable?El artículo afronta este tema a través de las páginas de algunos escritores italianos que han representado la lucha partisana contra el nazifascismo. En sus personajes, estas reflexiones son muy frecuentes. En algunos de ellos, la raíz es religiosa: Fausto e Anna [Fausto y Anna] (Cassola, 1975), escrito en 1952. En otros, es representada por una ideología política que no acepta la idea de violencia: La Storia [La historia] (Morante,1995), escrito en 1974.

In this paper, we describe a pilot study of a digital storytelling project conducted with primary school children. The study investigates how comic-based storytelling supported by a digital tool, named Communics, can facilitate primary school children in creating stories and in reflecting on situations involving discrimination within the classroom context. In a first stage, two teachers have been involved to negotiate the intervention, as well as define graphical and textual content on which to base the narrations in Communics. In a second stage, we piloted an intervention within a class of 12 children to investigate the scaffolding opportunities offered by Communics as well as different aspects of storytelling, as engagement and motivation, and explore the use of the storytelling practice as a reflective process. Finally, we discuss preliminary insights and suggestions for future studies.